In the rapidly evolving landscape of automotive electronics, traditional monolithic design approaches are giving way to something more flexible and powerful—chiplets. These modular microchips, which are themselves parts of a whole silicon system, offer unparalleled potential for improving system performance, reducing manufacturing costs, and accelerating time-to-market in the automotive sector. However, the transition to working with chiplets in automotive electronics is not without its challenges.

Designers must now grapple with a new set of considerations, such as die-to-die interconnect standards, complex processes, and the integration of diverse IPs. Advanced toolsets and standardized design approaches are required to meet these challenges head-on and elevate the potential of chiplets in automotive innovation. In the following discourse, we will explore in detail the significance of chiplets in the context of automotive electronics, the obstacles designers face when working with this paradigm, and how Cadence comprehensive suite of IPs, tools, and flows is pioneering solutions to streamline the chiplet design process.

Unveiling Chiplets in Automotive Electronics

For automotive electronics, chiplets offer a methodology to modularize complex functionalities, integrate different chiplets into a package, and significantly enhance scalability and manufacturability. By breaking down semiconductor designs into a collection of chiplets, each fulfilling specific functions, automotive manufacturers can mix and match chiplets to rapidly prototype new designs, update existing ones, and specialize for the myriad of use cases found in vehicles today.

The increasing significance of chiplets in automotive electronics comes as a response to several industry-impacting phenomena. The most obvious among these is the physical restriction of Moore's Law, as large die sizes lead to poor yields and escalating production costs. Chiplets with localized process specialization can offer superior functionality at a more digestible cost, maintaining a growth trajectory where monolithic designs cannot. Furthermore, chiplets support the assembly of disparate technologies onto a single subsystem, providing a comprehensive yet adaptive solution to the diverse demands present in modern vehicles, such as central computing units, advanced driver-assistance systems (ADAS), infotainment units, and in-vehicle networks. This chiplet-based approach to functional integration in automotive electronics necessitates intricate design, optimization, and validation strategies across multiple domains.

The Complexity Within Chiplets

Yet, with the promise of chiplets comes a series of intricate design challenges. Chiplets necessitate working across multiple substrates and technologies, rendering the once-familiar 2-dimensional design space into the complex reality of multi-layered, sometimes even three-dimensional domains. The intricacies embedded within this design modality mandate devoting considerable attention to partitioning trade-offs, signal integrity across multiple substrates, thermal behavior of stacked dies, and the emergence of new assembly design kits to complement process design kits (PDKs).

To effectively address these complexities, designers must wield sophisticated tools that facilitate co-design, co-analysis, and the creation of a robust virtual platform for architectural exploration. Standardizations like the Universal Chip Interconnect Express (UCIe) have been influential, providing a die-to-die interconnect foundation for chiplets that is both standardized and automotive-ready. The availability of UCIe PHY and controller IP from Cadence and other leading developers further eases the integration of chiplets in automotive designs.

The Role of Foundries and Packaging in Chiplets

Foundries have also pivoted their services to become a vital part of the chiplet process, providing specialized design kits that cater to the unique requirements of chiplets. In tandem, packaging has morphed from being a mere logistical afterthought to a value-added aspect of chiplets. Organizations now look to packaging to deliver enhanced performance, reduced power consumption, and the integrity required by the diverse range of technologies encompassed in a single chip or package. This shift requires advanced multiscale design and analysis strategies that resonate across a spectrum of design domains.

Tooling Up for Chiplets with Cadence

Cadence exemplifies the rise of comprehensive tooling and workflows to facilitate chiplet-based automotive electronics design. Their integrations address the challenges that chiplet-based SoCs present, ensuring a seamless design process from the initial concept to production. The Cadence suite of tools is tailored to work across design domains, ensuring coherence and efficiency at every step of the chiplet integration process.

For instance, Cadence Virtuoso RF subflows have become critical in navigating radio frequency (RF) challenges within the chiplets, while tools such as the Integrity 3D-IC Platform and the Allegro Advanced Multi-Die Package Design Solution have surfaced to enable comprehensive multi-die package designs. The Integrity Signal Planner extends its capabilities into the chiplet ecosystem, providing a centralized platform where system-wide signal integrity can be proactively managed. Sigrity and Celsius, on the other hand, offer universally applicable solutions that take on the challenges of chiplets in signal integrity and thermal considerations, irrespective of the design domain. Each of these integrated analysis solutions underscores the intricate symphony between technology, design, and packaging essential in unlocking the potential of chiplets for automotive electronics.

Cadence portfolio includes solutions for system analysis, optimization, and signoff to complement these domain-specific tools, ensuring that the challenges of chiplet designs don't halt progress toward innovative automotive electronics. Cadence enables designers to engage in power- and thermal-aware design practices through their toolset, a necessity as automotive systems become increasingly sophisticated and power-efficient.

A Standardized Approach to Success with Chiplets

Cadence’s support for UCIe underscores the criticality of standardized approaches for heterogeneous integration by conforming to UCIe standards, which numerous industry stakeholders back. By co-chairing the UCIe Automotive working group, Cadence ensures that automotive designs have a universal and standardized Die-to-Die (D2D) high-speed interface through which chiplets can intercommunicate, unleashing the true potential of modular design.

Furthermore, Cadence champions the utilization of virtual platforms by providing transaction-level models (TLMs) for their UCIe D2D IP to simulate the interaction between chiplets at a higher level of abstraction. Moreover, individual chiplets can be simulated within a chiplet-based SoC context leveraging virtual platforms. Utilizing UVM or SCE-MI methodologies, TLMs, and virtual platforms serve as first lines of defense in identifying and addressing issues early in the design process before physical silicon even enters the picture.

Navigating With the Right Tools

The road to chiplet-driven automotive electronics is one paved with complexity, but with a commitment to standards, it is a path that promises significant rewards. By leveraging Cadence UCIe Design and Verification IP, tools, and methodologies, automotive designers are empowered to chart a course toward chiplets and help to establish a chiplet ecosystem. With challenges ranging from die-to-die interconnect to standardization, heterogeneous integration, and advanced packaging, the need for a seamless integrated flow and highly automated design approaches has never been more apparent. Companies like Cadence are tackling these challenges, providing the key technology for automotive designers seeking to utilize chiplets for the next-generation E/E architecture of vehicular technology.

In summary, chiplets have the potential to revolutionize the automotive electronics industry, breathing new life into the way vehicles are designed, manufactured, and operated. By understanding the significance of chiplets and addressing the challenges they present, automotive electronics is poised for a paradigm shift—one that combines the art of human ingenuity with the power of modular and scalable microchips to shape a future that is not only efficient but truly intelligent.

Learn more about how Cadence can help to enable automakers and OEMs with various aspects of automotive design.

The rapid rise in size and sophistication of AI/ML training models requires increasingly powerful hardware deployed in the data center and at the network edge. This growth in complexity and data stresses the existing infrastructure, driving the need for new and innovative processor architectures and associated memory subsystems. For example, even GPT-3 at 175 billion parameters is stressing the bandwidth, capacity, training time, and power of the most advanced GPUs on the market.

To this end, Cadence has shown our HBM3E memory subsystem running at 12.4Gbps at nominal voltages, demonstrating the PHY’s robustness and performance margin. The production version of our latest HBM3E PHY supports DRAM speeds of up to 10.4Gbps or 1.33TB/s per DRAM device. This speed represents a >1.6X bandwidth increase over the previous generation, making it ideal for LLM training.

Cadence has been the HBM performance leader since 2021, when we announced our first 8.4Gbps HBM3E PHY supporting >1TB/s of memory bandwidth per HBM DRAM. Customers building advanced AI processors have used this speed while building margin into their systems. Recall that HBM3E is a 3D stacked DRAM with 1024-bit wide data (16 64-bit channels). While this wide data bus enables high data transfer, routing these signals requires interposer technology (2.5D) capable of routing close to 2000 signals (data and control), including silicon, RDL, and silicon bridges.

The interposer design is critical for the system to operate at these data rates. Cadence provides 2.5D reference designs, including the interposer and package, as part of our standard IP package. As demonstrated in our test silicon, these designs give customers confidence they will meet their memory bandwidth requirements. The reference design is also a good starting point, helping to reduce development time and risk. Our expert SI/PI and system engineers work closely with customers to analyze their channels to ensure the best system performance.

Even as HBM3E delivers the highest memory bandwidth today, the industry keeps pushing forward. JEDEC recently announced that HBM4, the next version of the HBM DRAM standard, is nearing completion. JEDEC calls HBM4 an “evolutionary step beyond the currently published HBM3 standard.” They also claim HBM4 “enhancements are vital for applications that require efficient handling of large datasets and complex calculations.” HBM4 will support AI training applications, high-performance computing (HPC), and high-end graphics cards.

Cadence will continue to push the HBM performance boundaries to ensure designers of these data-intensive systems can take advantage of the highest memory bandwidth available.

Learn more about Cadence HBM PHY IP products.

The demand for higher-performance computing is greater than ever. Cutting-edge applications in artificial intelligence (AI), big data analytics, and databases require high-speed memory systems to handle the ever-increasing volumes and complexities of data. Advancements in cloud computing and machine virtualization are stretching the limits of current capabilities. AI applications hosted in the cloud rely on fast access and reduced latency in memory systems, which is amplified by an increasing number of CPU and GPU cores.

Introducing the DDR5 Multiplexed Rank DIMM (MRDIMM), the next-generation memory module technology designed to meet the needs of high-performance computing (HPC) and AI in cloud applications. By leveraging existing DDR5 DRAM memory devices, MRDIMM modules not only double the DRAM data rate but also maintain the RAS capabilities of the industry-proven RDIMM modules, setting a new precedent for memory module performance.

Let’s compare RDIMM and MRDIMM modules using the same DRAM parts. Today, high-speed production DDR5 RDIMM modules run at 5600Mbps. Those modules use DDR5 DRAM parts, which also run at 5600Mbps. An MRDIMM module using the same DDR5 5600Mbps DRAM parts will run at a blazing 11.2Gbps.

One key metric for best-in-class performance, low bit error rate (BER), and ease of adoption is the eye diagram. The eye diagram illustrates at-speed system margin and accurately represents DDR system quality when captured with a pseudo-random binary sequence (PRBS)-like pattern. The diagram below illustrates Cadence’s 3nm silicon write eye diagram for DDR5 MRDIMM IP running at 12.8Gbps.

Cadence 3nm DDR5 MRDIMM 12.8Gbps test chip write eye diagram, design kit is available today

The eye diagram is captured using a PRBS-like pattern, incorporating a package and system board representative of a typical MRDIMM channel. Using PRBS-like patterns is crucial for capturing accurate eye diagrams. Repetitive clock-like data patterns create deceptively “open eyes” that do not reflect the real system performance. Effects like intersymbol interference, simultaneous switching, reflections, and crosstalk are not accurately reflected in the eye diagrams for parallel interfaces like DDR using non-random data streams. Relying on improperly captured eye diagrams inevitably leads to a significantly worse real system BER than conveyed by that eye diagram.

Doubling the DDR5 RDIMM data rate is challenging. Achieving high performance while optimizing for area and power requires multiple design techniques. Feed-forward equalization (FFE), decision feedback equalization (DFE), continuous-time linear equalization (CTLE), and T-coils are required to reach 12.8Gbps MRDIMM data rates in multi-channel systems. Building a production-worthy 12.8Gbps DDR5 MRDIMM IP requires engineering expertise that comes from many generations of memory interface design and production experience. Cadence has developed this expertise through multiple DDR5/4, LPDDR5X/5, and GDDR6 designs in different technology nodes and foundries. For instance, Cadence’s GDDR6 IP is available in three foundries and ten process nodes, with mass production at speeds exceeding 22Gbps.

For your next project, consider DDR5 12.8Gbps MRDIMM, a technology that not only doubles the bandwidth of DDR5 RDIMM but also promises rapid proliferation into next-generation AI, data center, HPC, and enterprise applications. With its cutting-edge capabilities, the Cadence DDR5 12.8Gbps MRDIMM IP is ready to power the future of computing.

Cadence tapes out 32G UCIe interface IP for high speed, highly efficient chiplet designs and demonstrate high data rate performance in TSMC's 3nm technology(read more)

As vehicles transition into interconnected ecosystems, artificial intelligence and advanced technologies become increasingly crucial. Infotainment systems have evolved beyond mere music players to become central hubs for connectivity, entertainment, and navigation. With global demand for comfort, convenience, and safety rising, the automotive infotainment market is experiencing significant growth. Valued at USD14.99 billion in 2023, it is projected to grow at a compound annual growth rate (CAGR) of 9.9% from 2024 to 2030.

To keep pace with this evolution, infotainment systems must accommodate a range of workloads, including audio, voice, AI, and vision technologies. This requires a flexible, scalable Digital Signal Processor (DSP) solution that acts as an offload engine for the main application processor. Integrating a single DSP for varied functions offers a cost-effective solution for high-performance, low-power processing, which aligns well with the needs of Electric Vehicles (EVs).

If you missed the detailed presentation by Casey Ng, Product Marketing Director at Cadence at CadenceLIVE 2024, register at the CadenceLIVE On-Demand site to access it and other insightful presentations. Stay ahead of the curve and explore the future of innovative electronics with us.

Cadence Infotainment Solution: Leading the Charge

Cadence Tensilica HiFi DSPs play a crucial role in enhancing audio capabilities in vehicle infotainment systems. They support applications like voice recognition, hands-free calling, and deliver immersive audio experiences. This technology is also paramount for features such as active noise control, which reduces road and cabin noise, and acoustic event detection for identifying unusual sounds like broken glass. One notable innovation is the "audio bubble," enabling personalized audio zones within the vehicle, ensuring passengers enjoy distinct audio settings.

Cadence HiFi DSP technology enriches the driving experience for electric vehicles by mimicking traditional engine sounds, while its advanced audio processing ensures optimal performance across various digital radio standards. It significantly contributes to noise reduction, hence improving the cabin experience. Integrating a Double Precision Floating Point Unit (FPU) stands out, as it upgrades audio performance and Signal-to-Noise Ratio (SNR) through efficient 64-bit processing, allowing control over numerous speakers without hitches.

These advancements distinguish the DSP as an essential tool in evolving infotainment systems, offering unmatched performance and adaptability. Tensilica HiFi processors, crucial to advanced infotainment SoCs, serve as efficient offload processors, augmenting real-time execution and energy efficiency. Cadence’s ecosystem, with over 200 codecs and software partnerships, propels the evolution of innovative infotainment systems. Introducing the HiFi 5s DSP marks a new era in connected car experiences, setting the stage for groundbreaking advancements.

Exploring Tomorrow with HiFi 5s DSP Technology

The HiFi 5s represents the apex of audio and AI digital signal processing performance. Built on the Xtensa LX8 platform, it introduces capabilities like auto-vectorization, which allows standard C code to be automatically optimized for performance. This synergy of hardware and software co-design marks a significant step forward in DSP technology. By leveraging its extended Single Instruction, Multiple Data (SIMD) capabilities alongside features like a double-precision floating-point unit (DP_FPU), the HiFi 5s delivers unparalleled precision and speed improvements in signal and audio processing tasks. Equally notable are its branch prediction and L2 cache enhancements, which optimize system performance by refining the control code execution and recognizing codec efficiency. The application of such enhancements are particularly beneficial in real-world scenarios.

AI-Powered Audio

Cadence's focus on AI integration with the HiFi 5s demonstrates significant improvements in audio clarity through AI-powered solutions.

• AI models learn from real-world data and adapt dynamically, while classic DSP algorithms rely on fixed rules.
• AI can be fine-tuned for specific scenarios, whereas classic DSP lacks flexibility.
• AI handles extreme and marginal noise patterns better, generalizes well across different environments, and is robust against varying noise characteristics.

Cadence's dedication to artificial intelligence marks a pivotal shift in audio processing. Traditional DSP algorithms, bound by rigid rules, are eclipsed by AI's ability to learn dynamically from real-world data. This adaptability equips AI models to tackle challenging noise patterns and offer unmatched clarity even in noisy environments, making them ideal for automotive and consumer audio applications.

Realtime AI-Optimized Speech Enhancements by OmniSpeech and ai|coustics

OmniSpeech

Our partner, OmniSpeech, has advanced AI-based audio processing that enhances the performance of audio software, specifically for omnidirectional and dipole microphones. Impressively, their technology operates with less than 32MHz and requires only 418kB of memory.

Test results show that background noise is significantly reduced when AI employs a single omnidirectional microphone, outperforming non-AI solutions. Additionally, when using a dipole microphone with AI, there is a 3.5X improvement in the weighted Signal-to-Noise Ratio (SNR) and more than a 28% increase in the Global Mean Opinion Score (GMOS) across various background noise.

ai|coustics

ai|coustics, a Cadence partner specializing in advanced audio technologies, utilizes real-time AI-optimized speech enhancement algorithms. They leverage an extensive speech-quality dataset containing thousands of hours and 100 languages to transform low-quality audio into studio-grade audio. Their process includes:

• De-reverb, which eliminates room resonances, echoes, and reflections

• Removing artifacts from downsampling and codec compression

• Dynamic and adaptive background noise removal

• Reviving audio materials with analog and digital distortions

• Providing support for all languages, accents, and a variety of speakers

Applications include:

• Automotive: Enhances clarity of navigation commands and communication for driver safety

• Consumer audio: Improves voice clarity for better dialogue understanding in TV programs. Optimizes speech intelligibility in communication for both uplink and downlink audio streams

• Smart IoT: Boosts voice command detection and response quality

Performance Enhancements

The advancements in branch prediction and L2 cache integration have significantly boosted performance metrics across various systems. With HiFi 5s, branch prediction increases codec efficiency by an average of 5%, reaching up to 16% in optimal conditions. L2 cache improvements have drastically enhanced system-level performance, evidenced by a 2.3X boost in EVS decoder efficiency. Adding MACs and imaging ISA in imaging use cases has led to substantial advancements. When comparing HiFi 5s to HiFi 5, imaging ISA performance improvements range with >60% average performance improvements.

The Crescendo of the Future

As Cadence continues to blaze trails in DSP technology, the HiFi 5s emerges as the quintessential solution for consumer and automotive audio use cases. With a robust framework for auto-vectorization, an unmatched double-precision FPU, AI-driven audio solutions, and comprehensive system enhancements, Cadence is orchestrating the next era of audio processing, where every note is clearer, every sound richer, and every experience more engaging. It is not just the future of audio—it's the future of how we experience the world around us.

 Discover how Cadence Automotive Solutions can transform your business today!

anyone know what is "cell with Zero maximum clock transition time"  ?

not zero transition, not maximum transtion, it is zero maximum clock transition time.

it means X0 cell? (drive-strength)

can you explain? 

thanks :-)

Hi,

Is there any way to instruct the tool to reduce the low metals effort and route more on top layers? 

Hi, I'm using genus (Version 21.14-s082_1) to synthesis a VHDL-design with multiple power-domains. After reading the power intent file and calling 'apply_power_intent',  I get the following warning:

Warning : Potential problem while applying power intent of 1801 file. [1801-99]
: Cannot find any instance for scope '/:CHIP_TOP'. Rest of commands in this scope will be skipped (set_scope:../../upf/CHIP_TOP.upf:2).
: Check the power intent. If the scenario is expected, this message can be ignored.

The fist two lines of CHIP_TOP.upf:

upf_version 3.1
set_scope :CHIP_TOP

I simulated the same  UPF and VHDL files with Xeclium and was able to verify all the IEEE1801/UPF aspects I need without any problems. I don't know, why genus is having a problem with the 'scope'.
In genus, after getting the warning, running 'set_db power_domain:CHIP_TOP/BLOCK_A/PD_CORE_D .library_domain PD0V5' returns the following error:

Error : <Start> word is not recognized. [TUI-182] [set_db]
: 'power_domain:CHIP_TOP/BLOCK/PD_CORE_D' is not a recognized object/attribute. Type 'help root:' to get a list of all supported objects and attributes.
: Check if the given <Start> word is a valid object_type, object or attribute.

Running 'commit_power_intent' gives me:

Started inserting low power cells...
====================================
Info : Command 'commit_power_intent' cannot proceed as there are no power domains present. [CPI-507]
: Design with no power domains is 'design:CHIP_TOP'.
Completed inserting low power cells (runtime 0.00).
====================================================

I'm suspecting that the problem lies in 'set_scope' and VHDL. I never had such problems with Verilog. I tried every way to reference the hierarchy in the code and now I'm at my wit's end and I need your help o/
How to set the scope with 'set_scope' in UPD 3.1 to the toplevel in VHDL, so that genus accepts it? Or is the problem caused by something else?

Best,

Iqbal

With digital implementation rapidly advancing, how do you think iOS and Android platforms will continue to evolve in industries like healthcare or education? The integration of mobile technology is already revolutionizing these fields, and it would be interesting to discuss where this could lead and what new opportunities might emerge.

Hi all, 

I have made a custom cell in Innovus that I will be instantiating into a bigger block, which I will also be using Innovus to do the Place & Route. 

I understand that I can generate a *.lef file and a *.lib file using Innovus. However, I need to also create a *.db file (these format of files are often used in DC Compiler synthesis tool). 

Is there a way to create the *.db file from Innovus? Or, is there a tool that I can use to create this *.db file? 

Thank you for your time. 

I'm trying to write a generic piece of code that will return the layermap file location, with file name, for a variety of projects (which could potential have different layermap file naming conventions. The below code is what I've used to date, but this assumes the file name is xxxx.layermap. I can obviously do some string matching to find it, assuming the various files all contain some common characters. I thought I'd ask if there is a simpler way to find it, I know that this information is automatically loaded into the Xstream out gui, so maybe I can use the same approach to find it.

techLibName=techGetTechFile(cv)~>libName

techLibLayerMap=strcat(ddGetObj(techLibName)~>readPath "/" techLibName ".layermap")

Hi everyone. 

I'm very a new cadence user. I'm not good at using it and quite lost in finding a way to get the results. With the topic, I would like to ask you for some suggestions to improve my cadence skills.

I have some digital decision logic. Some are combinational logic, some are sequential logic that I would like to import or generate random input combination to the inputs of my decision logic to get the maximum, minimum, and average delay power dissipation and area when feeding the different input combination.

My logic has 8-bit, 16-bit, and 32-bit input. The imported data tends to be decimal numbers.

I would like to ask you:

- which tool(s) are the most appropriate to import and feed the different combination to my decision logic?

- which tool is the most appropriate to synthesis with different number of input? - I have used Genus Synthesis Solution so far. However with my skill right now I can only let Genus synthesize my Verilog code one setup at a time. I'm not sure if I there is anyway I can feed a lot of input at a time and get those results (min, max, average of delay, power dissipation and area)

- which language or scripts I should pick up to use and achieve these results?

-where can I find information to solve my problem? which information shall I look for?

Thank you so much for your time!!

Best Regards

Hi! I've made some 1-point waveform "markers" that I want to overlay in my plots to aid visualization (with the added advantage, w.r.t. normal Viva markers, that they update location automatically upon refreshing simulation data).

For example, the plot below shows an spectrum along with two of these markers, which I create with the function "singlePointWave", and the Assembler output definitions also as shown below.

The problem is: as currently created and defined, Assembler is unable to plot these elements. I can send their expressions to the calculator and plotting works from there, BUT ONLY after first enabling the "Allow Any Units" in the target Viva subwindow.

Thus, I suspect Assembler is failing to plot my markers because they "lack" other information like axes units and so on. How could I add whatever is missing, so that these markers can plot automatically from Assembler?

Thanks in advance for any help!

Jorge.

P.S. I also don't know why, but nothing works without those "ymax()" in the output definitions--I suspect they are somehow converting the arguments to the right data type expected by singlePointWave(). Ideas how to fix that are also welcome! ^^

procedure( singlePointWave(xVal yVal)
    let( (xVect yVect wave)
        xVect = drCreateVec('double list(xVal));
        yVect = drCreateVec('double list(yVal));
        wave = drCreateWaveform(xVect yVect);
    );
);

I'm trying to do what I believe should be a very simple and straightforward thing but after much reading appears to be quite complicated.

I'm test-benching the digital portion of a mixed-signal circuit that's instantiated a few hundred times. Each instance has some digital controls, and an analog portion. To greatly speed up the simulation, I'd like to hide the analog portion, which is neatly contained in one or two cell views deep down the hierarchy, and then unhide it after simulation has ended so it doesn't mess up other peoples' sims

Just as an example, say there's an op-amp that from the top level is contained in instance "I<0:511>/I3/I15/I0". First off, I don't know how to iterate through the 512 instantiations of the top level cell, but let's say we're just working with the I0 instance. I thought it would just be

schIgnore(?objectId "I<0:511>/I3/I15/I0" ?setIgnore t)

Of course this doesn't work. I can get the top level cell dbId with

cv = dbOpenCellViewByType("library" "cell" "schematic" "" "a")

And then I can grab the instance ID with

inst = dbFindAnyInstByName(cv "I0")

This gives me something, but then I'm lost from here. If I use the ~>master to get an Id from inst, I cannot recursively use dbFindAnyInstByName to traverse down the hierarchy. Also the value this returned seems to be meaningless, it can't be used by the schIgnore command. I'm not sure what the schIgnore command is actually even looking for.

So I guess I'm trying to loop through two things, one is to traverse down the hierarchy and grab the ID of a child instance so I can schIgnore it, and another is to iterate through all the top level instances to hide the child instance within each of them.

Is there a skill command for "Assign Layout Instance terminals", this form appears when i click on define device correspondence and Bind the devices.

Also,

Problem Statement : i have a schematic with a couple of transistor symbols and and i alos have a corresponding layout view with respective layout transistors but they all are inside a pCell(created by me) i.e layout transistor called inside a custom Pcell. Now i have multiple symbols in schematic view and a single instance(pCell) in layout view. 
Is there a way how i can bind these schematic symbols with layout symbols inside the pCell(custom)? Even if i have to use cph commands i'm fine with it. need help here.

The idea here is to establish XL connectivity between the schematic symbols and corresponding layout transistors(inside the pCell).

Thanks,

Shankar

Hi,

I hope you are doing well.

I have designed and simulated a PA system in Cadence using high-level blocks, which include both ideal components and some defined with Verilog-A. My goal is to calculate the Bit Error Rate (BER) and Error Vector Magnitude (EVM) in the system. I am using an LTE source from RFLib, and everything functions correctly in the transient simulation.

To calculate these parameters, I intended to use envelope simulation. However, when I attempt to run the envelope simulation, I encounter convergence errors, which prevent it from working as expected.

Given this issue, I believe I need to work with transient data instead. Could you please advise on how to approach this in Cadence without exporting the data to MATLAB?

Thank you for your assistance.

Hi,

My query is regarding importing of layout.

After importing, we see that the imported transistor instances and vias are all referring to the library in which they are imported, instead of referring to the technology library.

Please let me know how we can refer them to the technology library.

Will surely provide more details if my query is unclear.

Thanks,

Mallikarjun.

Hello,

I would like to create a button for my form that prompts the user to click on a cellview and draw a rectangle bounding box, exactly like the one used in the Area and Density Calculator. Can someone please help me with this?

Thanks!

Beto

Hi guys,

I see that inside VNC I can’t resize window boxes by mouse. While pressing the arrow at the box edge and dragging it nothing happens:

is it a bug, or setup change require?

Noted, it only happens when trying to resize window box from left and right side..

Thx

Hello,

I was looking to destructively and efficiently modify a list that was passed in as an argument to a procedure, by prepending an item to the list.

I noticed that cons lets you do this efficiently, but the operation is non-destructive. Hence this wouldn't work if you are trying to modify a function's list parameter in place.

Here is an example of trying to add "0" to the front of a list:

Hi there

I am trying to make cross-probe btw layout and schematic view.

so when I execute the code in schematic using bindkey, the code will raise the layout view (hiRaiseWindow)

and then I want to descend to the same hierarchy as schematic. (geSelectFig, leHiEditInPlace)

But looks like current cellview still stays at schematic view.

I got this error msg, and when I print current cell view name at where I got this msg, it replys schematic.

*Error* geSelectFig: argument #1 should be a database object (type template = "d") - nil

is there any way to change the current cellview to layout view?

I also added this code, but didn't work.

geGetEditCellView(geGetCellViewWindow(cvId)) ;cvId is layout view

I don't want to close the schematic view, just want to move the focus or make geSelectFig works.

Thanks in advance.

When starting a new design, it's important to take the time to consider design recommendations that prevent problems that can arise later in the design cycle. This two-part compilation of guidelines for starting a new design is the result of years of Cadence AWR Design Environment platform Support experience with designs. Pre-design decisions for user interface, simulation, layout, and library configuration lay the groundwork for a successful and efficient AWR design. This blog covers the user interface (UI) and simulation considerations designers should note prior to starting a design.(read more)

Thermal analysis with the Cadence Celsius Thermal Solver integrated within the AWR Microwave Office circuit simulator gives designers an understanding of device operating temperatures related to power dissipation. That temperature information can be introduced into an electrothermal model to predict the impact on RF performance.(read more)

When starting a new design, it's important to take the time to consider design recommendations that prevent problems that can arise later in the design cycle. This two-part compilation of guidelines for starting a new design is the result of years of Cadence AWR Design Environment platform Support experience with designs. Pre-design decisions for user interface, simulation, layout, and library configuration lay the groundwork for a successful and efficient AWR design. This blog, part 2, covers the layout and component library considerations designers should note prior to starting a design.(read more)

Microwave Office is Cadence’s tool-of-choice for RF and microwave designers designing everything from III-V 5G chips, to RF systems in board and package technologies. These types of designs require close interaction between the schematic and its layout. A new Training Byte demonstrates how the schematic-layout connections is built into Microwave Office.(read more)

A training webinar on Microwave Office will be given June 27, 2023. The emphasis will be on EM simulation.(read more)

A recording of a training webinar on Microwave Office is available. Topics show the design environment, with special emphasis placed on electromagnetic (EM) simulation. Normal 0 false false false EN-US JA X-NONE ...(read more)

By David Vye, Senior Product Marketing Manager, AWR, Cadence When designing multi-octave high-power amplifiers, it is a challenge to achieve both broadband gain and power matching using a combination of lumped and distributed techniques. One approach...(read more)

New online training course for AXIEM EM Simulator in AWR Microwave Office is available.(read more)

Hello All:

I am looking for help on the following, as I am new to Cadence tools [I have to use Cadence Innovus for Physical Design after Logic Synthesis using Synopsys Design Compiler, using Nangate 45 nm Open Cell Library]: while using Cadence Innovus, I would need to select a few specific nets to be routed through a specific metal layer. How can I do this on Innovus [are there any command(s)]? Also, would writing and sourcing a .tcl script [containing the command(s)] on the Innovus terminal after the Placement Stage of Physical Design be fine for this?

Secondly, is there a way in Innovus to manipulate layout components, such as changing some pin placements, wire directions (say for example, wire direction changed to facing east from west, etc.) or moving specific closely placed cells around (without violating timing constraints of course) using any command(s)/.tcl script? If so, would pin placement changes and constraining some closely placed cells to be moved apart be done after Floorplanning/Powerplanning (that is, prior to Placement) and the wire direction changes be done after Routing? 

While making the necessary changes, could I use the usual Innovus commands to perform Physical Design of the remaining nets/wires/pins/cells, etc., or would anything need modification for the remaining components as well?

I would finally need to dump the entire design containing all of this in a .def file.

I tried looking up but could only find matter on Virtuoso and SKILL scripting, but I'd be using Innovus GUI/terminal with Nangate 45 nm Open Cell Library. I know this is a lot, but I would greatly appreciate your help. Thanks in advance.

Riya

Hi,

I have synthesized a verilog code. When performing the pnr in innovus it is showing the error "Instance g5891__718 (similar for other) of the cell AND2_X6 has no physical library or has wrong dimension  values (<=0). Check your design setup to make sure the physical library is loaded in and attribute specified in library are correct.

When importing synthesized netlist in virtuoso then it says " Module AND2_X6, instantiated in the top module decoder, is not defined. Therefore the top module decoder will be imported as functional."

Please help what's going on here? 

i want to read from text file two values  on two ports , i wrote  that  code, and i have that error that shown in the image below . and also the data in text file is shown as screenshot

module read_file (a,b);

electrical a,b;
integer in_file_0,data_value, valid, count0,int_value;

analog begin
@(initial_step) begin
in_file_0 = $fopen("/home/hh1667/ee610/my_library/read_file/data2.txt","r");

valid = $fscanf (in_file_0, "%b,%b" ,int_value,count0);
end

V(a) <+ int_value;
V(b) <+ count0;

end

endmodule

Hi Cadence, 

I use simvision 20.09-s007 but my computer screen resolution is very high. As a result, the texts are too small. 

In ~/.simvision/Xdefaults I changed that number to 16, from 12. But the signal names in the waveform traces don't reflect the change. 

Simvision*Font: -adobe-helvetica-medium-r-normal--16-*-*-*-*-*-*-*

Other .font changes seem to reflect on the simvision correctly, except the signal names. 

How do I fix that? I dont mind a single variable to change all the texts fonts to 16. 

Thank you!

PS: I found the answer with another post. I change Preference/Waveform/Display/Signal Height. 

I am scripting gds streamin using 'strmin', which works fine so far.

But, as it apparently doesn't have an option to specify where the cds.lib file is, I have to run it from the directory where the cds.lib file is, or I guess I could create a dummy one to source that one.

Is there a way to tell strmin where the cds.lib file is?

Hi Cadence & forumers, 

I am running a conformal LEC with a flattened netlist against RTL. 

The run hang for 5 days at the "analyze abort" step which is automatically launched by the compare. 

The netlist is flattened at some levels so hierarchical flow which I tried didn't help much. The flattened/highly optimized netlist is from customer and the ultimate goal. How shall I proceed now? 

On the a side note, a test run with a hierarchical netlist from a simple DC "compile -map_effort medium" command finished after 1 day or so. 

Thank you! 

// Command: vpx compare -verbose -ABORT_Print -NONEQ_Print -TIMEstamp
// Starting multithreaded comparison ...
Comparing 241112 points in parallel.

// Multithreading Overhead: 38% Gates: 8501606/6168138
// Multithreaded processing completed.
================================================================================
Compared points PO DFF DLAT BBOX CUT Total
--------------------------------------------------------------------------------
Equivalent 1025 241638 30 75 21 242789
--------------------------------------------------------------------------------
Abort 0 124 0 0 0 124
================================================================================
Compare results of instance/output/pin equivalences and/or sequential merge
================================================================================
Compared points DFF Total
--------------------------------------------------------------------------------
Equivalent 204 204
================================================================================
// Warning: 512 DFFs/DLATs have 1 disabled clock port: skipped data cone comparison
// Resolving aborts by analyze abort...

Hi, have two designs and would like to copy paste one area of circuit from the old design to the new design, best way/approach and guidance please..

Hello,

I am trying to load some of the signals of the design saved in the signals.svwf to the waveform windown via the tcl file, I am using the following commands but nothing works, Can you please help 

 -submit waveform loadsignals -using "Waveform 2" FB1.svwf but it gives me the below error

-submit waveform new -reuse -name Waveforms

I want to use a transmission gate in my design, but it is not available as a standard cell for Genus RTL synthesis. How can I perform an analysis of area, power, and critical path delay that includes the transmission gate alongside standard cells?

Could you provide guidance or a methodology for integrating custom cells, like the transmission gate, into the synthesis flow for accurate analysis?

Optimize Regression Suite, Accelerate Coverage Closure, and Increase hit count of rare bins using Xcelium Machine Learning. It is easy to use and has no learning curve for existing Xcelium customers. Xcelium Machine Learning Technology helps you discover hidden bugs when used early in your design verification cycle.(read more)

Learn how Xcelium PowerPlayback App enables the massively parallel Xcelium replay of waveforms for glitch-accurate power estimation of multi-billion gate SoC designs.(read more)

Xcelium Simulator has been in the industry for years and is the leading high-performance simulation platform. As designs are getting more and more complex and verification is taking longer than ever, the need of the hour is plug-and-play apps that ar...(read more)

Speed increase requirements keep on flowing by in all the domains surrounding us. The same applies to memory storage too. Earlier mobile devices used eMMC based flash storage, which was a significantly slower technology. With increased SoC processing speed, pairing it with slow eMMC storage was becoming a bottleneck. That is when modern storage technology Universal Flash Storage (UFS) started to gain popularity. 

UFS is a simple and high-performance mass storage device with a serial interface. It is primarily used in mobile systems between host processing and mass storage memory devices. Another important reason for the usage of UFS in mobile systems like smartphones and tablets is minimum power consumption. 

To achieve the highest performance and most power-efficient data transport, JEDEC UFS works in collaboration with industry-leading specifications from the MIPI® Alliance to form its Interconnect Layer. MIPI UniPro is used as a transport layer, and MIPI MPHY is used as a physical layer with the serial DpDn interface. 

UFS 4.0 specification is the latest specification from JEDEC, which leverages UniPro 2.0 and MPHY 5.0 specification standards to achieve the following major improvements:

• Enables up to 4200 Mbps read/write traffic with MPHY 5.0, allowing 23.29 Gbps data rate. 
• High Speed Link Startup, along with Out of Order Data Transfer and BARRIER Command, were introduced to improve system latencies. 
• Data security is enhanced with Advanced RPMB. Advance RPMB also uses the EHS field of the header, which reduces the number of commands required compared to normal RPMB, increasing the bandwidth. 
• Enhanced Device Error History was introduced to ease system integration. 
• File Based Optimization (FBO) was introduced for performance enhancement. 

Along with many major enhancements, UFS 4.0 also maintains backward compatibility with UFS 3.0 and UFS 3.1. 

JEDEC has just announced the UFS 4.0 specification release, quoting Cadence support as a constant contributor in the JEDEC UFS Task Group, actively participating in these specifications development.  

With the availability of the Cadence Verification IP for JEDEC UFS 4.0, MIPI MPHY 5.0 and MIPI UniPro 2.0, early adopters can start working with the provisional specification immediately, ensuring compliance with the standard and achieving the fastest path to IP and SoC verification closure.  

More information on Cadence VIP is available at the Cadence VIP Website. 

Yeshavanth B N 

It has become challenging to ensure that the designs are complete, correct, and adhere to necessary coding rules before handing them off for RTL verification and implementation. RTL Designer Signoff Solution from Cadence helps the user identify RTL bugs at a very early development stage, saving a lot of effort and cost for the design and verification team. Our reputed customers have confirmed that using RTL signoff for their design IP helped save up to 4 weeks and reduce the late-stage RTL changes by up to 80%.(read more)

NAND Flash memory is now a widely accepted non-volatile memory in many application areas for data storage such as digital cameras, USB drive, SSD and smartphones. One form of NAND flash memory, Toggle NAND, was introduced to transmit high-speed data asynchronously thus consuming less power and increasing the density of the NAND flash device. 

The initial Toggle NAND versions had memory arranged in terms of SLC (Single Level Cell) or MLC (Multi Level Cell) mode that was considered as a 2D scalar stack and their frequency of operation was also less. The ever-growing demand of high memory capacity and high throughput required further research in the areas like the shrinking size of cell, performance to fill-in these gaps.

Some of these new requirements were incorporated, leading to newer versions of Toggle NAND, namely 3.0 and 4.0, with a re-arrangement of the internal memory developing a 3D layer of memory. With such structures, higher capacity of the memory was possible, but performance was the primary challenge as the latency of the write/read of memory quadrupled with the same frequency.

The key to improving the performance and run the device at very high speed in low power mode was to enhance the frequency of operation for faster read/writes to the memory and reduce the voltage levels.

But with every technology advancement comes some other problems, the next being the data sampling at that high frequency that can cause setup/hold time issues. To overcome these concerns, different types of trainings on the signal interface were made mandatory that shall assist in proper sampling of the data. Few other features for improving the integrity of the signals were added.

The current set of commands were applicable to access the SLC and MLC memory modes but with the 3D layering, these commands were lacking access to the entire set of TLC (Triple Level Cell) and QLC (Quad Level Cell) memory modes. Thus, more commands were required to make sure that the 3D layering was fully written/read.

Main features of Toggle NAND 4.0 :

• High Density of Memory
• High Frequency of operation, greater than 800 MHz
• Data Trainings

Cadence Verification IP for Flash Toggle NAND 4.0 is available to support the newer version of Flash Toggle NAND 4.0, allowing to simulate the memory device for efficient IP, SoC, and system-level design verification. Semiconductor companies can start using it to fully verify their controller design and achieve functional verification closure on it within no time. 
 
Gaurav 

Achieving optimal power transfer in RF PCBs hinges on meticulously routed traces that meet specific impedance requirements. Impedance matching is essential to ensure that traces have the same impedance to prevent signal reflection and inefficient pow...(read more)

OrCAD X is the next-generation integrated PCB design platform. It brings to you a powerful cloud-enabled design solution that includes design and library data management integrated with the proven PCB design and analysis product portfolio of Cad...(read more)

Introduction

Multiphysics is an integral part of the concepts around digital twins. In this post, I want to discuss the mechanical aspects of multiphysics in system simulations, which are critical for 3D-IC, multi-die, and chiplet design.

The physical world in which we live is growing ever more electrified. Think of the transformation that the cell phone has brought into our lives, as has the present-day migration to electronic vehicles (EVs). These products are not only feats of electronic engineering but of mechanical as well, as the electronics find themselves in new and novel forms such as foldable phones and flying cars (eVOTLs). Here, engineering domains must co-exist and collaborate to bring about the best end products possible.

Start with the electronics—chips, chiplets, IC packaging, PCB, and modules. But now put these into a new form factor that can be dropped or submerged in water or accelerated along a highway. What about drop testing, aerodynamics, and aeroacoustics? These largely computational fluid dynamics (CFD) and/or mechanical multiphysics phenomena must also be accounted for. And then how does the drop testing impact the electrical performance? The world of electronics and its vast array of end products is pushing us beyond pure electrical engineering to be more broadly minded and develop not only heterogeneous products but heterogeneous engineering teams as well.

Cadence's Unique Expertise

It's at this crossroad of complexity and electronic proliferation that Cadence shines. Let's take, for example, the latest push for higher-performing high-bandwidth memory (HBM) devices and AI data center expansion. These technologies are growing from several layers to 12, and I can't emphasize enough the importance of teamwork and integrated solutions in tackling the challenges of advanced packaging technologies and how collaboration is shaping the future of semiconductor innovation and paving the way for cutting-edge developments in the industry.

These layered electronics are powered, and power creates heat. Heat needs to be understood, and thus, the thermal integrity issues uncovered along the way must be addressed. However, electronic thermal issues are just the first domino in a chain of interdependencies. What about the thermal stress and warpage that can be caused by the powering of these stacked devices? How does that then lend to mechanical stress and even material fatigue as the temperature cycles from high to low and back through the use of the electronic device? This is just one example in a long list of many...

Cadence Multiphysics Analysis Offerings

The confluence of electrical, mechanical, and CFD is exactly why Cadence expanded into multiphysics at a significant rate starting in 2019 with the announcement of the Clarity 3D Solver and Celsius Thermal Solver products for electromagnetic (EM) and thermal multiphysics system simulations. Recent acquisitions of Numeca, Pointwise, and Cascade (now branded within Cadence as the Fidelity CFD Platform) as well as Future Facilities (now the Cadence Reality Digital Twin product line) are all adding CFD expertise. The recent addition of Beta CAE brings mechanical multiphysics to the suite of solutions available from Cadence. The full breadth of these multiphysics system analyses, spanning EM, thermal, signal integrity/power integrity (SI/PI), CFD, and now mechanical, creates a platform for digital twinning across a wide array of applications. You can learn more by viewing Cadence's Reality Digital Twin platform launch on the keynote stage at NVIDIA's GTC in March, as well as this Designed with Cadence video: NV5, NVIDIA, and Cadence Collaboration Optimizes Data Centers.

Conclusion

Ever more sophisticated electronic designs are in demand to fulfill the needs of tomorrow's technologies, driving a convergence of electrical and mechanical aspects of multiphysics in system simulations. To successfully produce the exciting new products of the future, both domains must be able to collaborate effectively and efficiently. Cadence is fully committed to developing and providing our customers with the software products they need to enable this electrical/mechanical evolution. From EM, to thermal, to SI/PI, CFD, and mechanical, Cadence is enabling digital twinning across a wide array of applications that are forging pathways to the future.

For more information on Cadence's multiphysics system analysis offerings, visit our webpage and download our brochure.

The OrCAD X and Allegro X 24.1 release is now available at Cadence Downloads. This blog post provides links to access the release and describes some major changes and new features.   OrCAD X /Allegro X 24.1 (SPB241) Here is a representative li...(read more)

Melika Roshandell, Cadence product marketing director for the Celsius Thermal Solver, recently published an article in Designing Electronics discussing how the use of modern thermal analysis techniques can help engineers meet the challenges of today’s complex electronic designs, which require ever more functionality and performance to meet consumer demand.

Today’s modern electronic designs require ever more functionality and performance to meet consumer demand. These requirements make scaling traditional, flat, 2D-ICs very challenging. With the recent introduction of 3D-ICs into the electronic design industry, IC vendors need to optimize the performance and cost of their devices while also taking advantage of the ability to combine heterogeneous technologies and nodes into a single package. While this greatly advances IC technology, 3D-IC design brings about its own unique challenges and complexities, a major one of which is thermal management.

To overcome thermal management issues, a thermal solution that can handle the complexity of the entire design efficiently and without any simplification is necessary. However, because of the nature of 3D-ICs, the typical point tool approach that dissects the design space into subsections cannot adequately address this need. This approach also creates a longer turnaround time, which can impact critical decision-making to optimize design performance. A more effective solution is to utilize a solver that not only can import the entire package, PCB, and chiplets but also offers high performance to run the entire analysis in a timely manner.

Celsius Thermal Management Solutions

Cadence offers the Celsius Thermal Solver, a unique technology integrated with both IC and package design tools such as the Cadence Innovus Implementation System, Allegro PCB Designer, and Voltus IC Power Integrity Solution. The Celsius Thermal Solver is the first complete electrothermal co-simulation solution for the full hierarchy of electronic systems from ICs to physical enclosures. Based on a production-proven, massively parallel architecture, the Celsius Thermal Solver also provides end-to-end capabilities for both in-design and signoff methodologies and delivers up to 10X faster performance than legacy solutions without sacrificing accuracy.

By combining finite element analysis (FEA) for solid structures with computational fluid dynamics (CFD) for fluids (both liquid and gas, as well as airflow), designers can perform complete system analysis in a single tool. For PCB and IC packaging, engineering teams can combine electrical and thermal analysis and simulate the flow of both current and heat for a more accurate system-level thermal simulation than can be achieved using legacy tools. In addition, both static (steady-state) and dynamic (transient) electrical-thermal co-simulations can be performed based on the actual flow of electrical power in advanced 3D structures, providing visibility into real-world system behavior.

Designers are already co-simulating the Celsius Thermal Solver with Celsius EC Solver (formerly Future Facilities’ 6SigmaET electronics thermal simulation software), which provides state-of-the-art intelligence, automation, and accuracy. The combined workflow that ties Celsius FEA thermal analysis with Celsius EC Solver CFD results in even higher-accuracy models of electronics equipment, allowing engineers to test their designs through thermal simulations and mitigate thermal design risks.

Conclusion

As systems become more densely populated with heat-dissipating electronics, the operating temperatures of those devices impact reliability (device lifetime) and performance. Thermal analysis gives designers an understanding of device operating temperatures related to power dissipation, and that temperature information can be introduced into an electrothermal model to predict the impact on device performance. The robust capabilities in modern thermal management software enable new system analyses and design insights. This empowers electrical design teams to detect and mitigate thermal issues early in the design process—reducing electronic system development iterations and costs and shortening time to market.

To learn more about Cadence thermal analysis products, visit the Celsius Thermal Solver product page and download the Cadence Multiphysics Systems Analysis Product Portfolio.