A year-old murder case has been re-opened in Uttar Pradesh's Meerut after a hired killer, who is out on bail, approached the police for not being paid a ransom for the job.

At least five people were killed this morning after their speeding car rammed a truck that had broken down and was parked on the roadside in Noida.

A man climbed an electric tower in Uttar Pradesh's Noida Sector 76 on Sunday afternoon. After nearly two hours, he was brought down by the police and fire department officials.

A Bengaluru couple found themselves in legal trouble after they posted videos of their balcony garden on Facebook. The posts included images of plants later identified as ganja.

A man was on Monday arrested for driving his car, a Mahindra Thar, on a railway track in Rajasthan's Jaipur. The man, said to be drunk, had taken his SUV on to railway tracks to shoot a reel for social media.

Power discoms have provided electricity connections to 6,791 of the 10,802 applicants living in Delhi's unauthorised colonies following Lieutenant Governor V K Saxena's intervention, the Raj Niwas said on Tuesday.

Jimmy Carter celebrated his 100th birthday on Tuesday - the first ever US president to reach the century mark and another extraordinary milestone for the one-time peanut farmer who found his way to the White House.

Industrialist Ratan Tata, who passed away at the age of 86, is credited with transforming the Tata Group's portfolio during his tenure as chairman to include products from salt to software to sports cars.

Think of social media, and the first name that almost immediately comes to mind is Mark Zuckerberg.

A look at how American leadership has evolved through major historical events and societal changes over the past century

1. Nasa Alert: Massive 'God of Chaos' asteroid Apophis nears earth in closest pass yet  CNBCTV18
2. NASA alert! 'God of Chaos' asteroid approaching Earth on November 13 sparks worldwide concern  The Times of India
3. Giant Meteorite To Hit Earth On November 13? What We Know  News18
4. 'Astonishingly close': A colossal space rock could wreak havoc on Earth in 2029  Business Today
5. Giant 'God of Darkness' Asteroid May Not Escape Earth Unscathed  ScienceAlert

1. Battered Reliance Shares To Make A Comeback? This Analyst Sees 29% Upside Ahead  Benzinga India
2. Reliance Industries shares may see 30% upside according to CLSA, who cites this key trigger  CNBCTV18
3. RIL shares are down 20% from record high, oversold on charts; here's what analysts say  Business Today
4. Six of India’s top 10 most valuable firms shed Rs 1.55 lakh crore in market value  Moneycontrol
5. Reliance Industries Share Price Today on 13-11-2024: Reliance Industries share price are down by -0.63%, Nifty down by -0.8%  Mint

1. Telangana train accident: Goods train derails near Peddapalli. Check full list of cancelled, diverted trains today | Today News  Mint
2. Goods train derails in Telangana's Peddapalli; 20 trains cancelled, 10 diverted  The Economic Times
3. 11 coaches of goods train derail in Telangana  The Times of India
4. Goods train derailment in Telangana affects rail traffic between Delhi and Chennai  Telangana Today
5. Goods train derails in Telangana's Peddapalli; 30 trains cancelled, several diverted  The Hindu

Samsung is running some Black Friday deals for its foldables like the Galaxy Z Fold 6 and Flip 6, so what are you waiting for?

The post Grab the Samsung Galaxy Z Fold 6 and Flip 6 at incredible Black Friday prices! appeared first on Phandroid.

If you’re in the market for a new Android tablet, check out these early Black Friday deals for the Samsung Galaxy Tab S10 series.

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Samsung has an early Black Friday deal for its accessories and wearables, so don’t miss out if you want some savings!

The post INCREDIBLE early Black Friday deal saves you on Samsung wearables and accessories! appeared first on Phandroid.

In this clip, Steve Jobs pauses for 18 seconds to contemplate a question deeply before answering.

The video features models dressed in the latest fashion, strutting like mannequins on a moving runway outside the designer store ITIB.

The couple, together for nine years, had announced the wedding date in January and were eagerly looking forward to their long-awaited special day.

[allAfrica] We are excited to share the momentous news that Cape Town Pride has officially won the bid to host WorldPride 2028. This significant event is a global celebration of LGBTQ+ pride and rights, marking a pivotal milestone not only for the LGBTQ+ community in the city but also for the entire African continent. This victory positions Cape Town as a leading symbol of inclusivity and diversity, showcasing its commitment to advancing a welcoming environment for all.

[allAfrica]

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 generative AI market is experiencing rapid growth, driven by the increasing parameter size of Large Language Models (LLMs). This growth is pushing the boundaries of performance requirements for training hardware within data centers. For an in-depth look at this, consider the insights provided in "HBM3E: All About Bandwidth". Once trained, these models are deployed across a diverse range of applications. They are transforming sectors such as finance, meteorology, image and voice recognition, healthcare, augmented reality, high-speed trading, and industrial, to name just a few.

The critical process that utilizes these trained models is called AI inference. Inference is the capability of processing real-time data through a trained model to swiftly and effectively generate predictions that yield actionable outcomes. While the AI market has primarily focused on the requirements of training infrastructure, there is an anticipated shift towards prioritizing inference as these models are deployed.

The computational power and memory bandwidth required for inference are significantly lower than those needed for training. Inference engines typically need between 300-700GB/s of memory bandwidth, compared to 1-3TB/s for training. Additionally, the cost of inference needs to be lower, as these systems will be widely deployed not only in data centers but also at the network's edge (e.g., 5G) and in end-user equipment like security cameras, cell phones, and automobiles.

When designing an AI inference engine, there are several memory options to consider, including DDR, LPDDR, GDDR, and HBM. The choice depends on the specific application, bandwidth, and cost requirements. DDR and LPDDR offer good memory density, HBM provides the highest bandwidth but requires 2.5D packaging, and GDDR offers high bandwidth using standard packaging and PCB technology.

The GDDR7 standard, announced by JEDEC in March of this year, features a data rate of up to 192GB/s per device, a chip density of 32Gb, and the latest data integrity features. The high data rate is achieved by using PAM3 (Pulse Amplitude Modulation) with 3 levels (+1, 0, -1) to transmit 3 bits over 2 cycles, whereas the current GDDR6 generation uses NRZ (non-return-to-zero) to transmit 2 bits over 2 cycles.

GDDR7 offers many advantages for AI Inference having the best balance of bandwidth and cost. For example, an AI Inference system requiring 500GB/s memory bandwidth will need only 4 GDDR7 DRAM running at 32Gbp/s (32 data bits x 32Gbp/s per pin = 1024Gb/s per DRAM). The same system would use 13 LPDDR5X PHYs running at 9.6Gbp/s, which is currently the highest data rate available (32 data bits x 9.6Gb/s = 307Gb/s per DRAM).

Cadence stands at the forefront of AI inference hardware support, being the first IP company to roll out GDDR7 PHYs capable of impressive speeds up to 36Gb/s across various process nodes. This milestone builds on Cadence's established leadership in GDDR6 PHY IP, which has been available since 2019. The company caters to a diverse client base spanning AI inference, graphics, automotive, and networking equipment.

While GDDR7 continues to utilize standard PCB board technology, the increased signal speeds seen in GDDR6 (20Gbp/s) and now GDDR7 (36Gb/s) calls for careful attention with the physical design to ensure optimized system performance. In addition to providing the PHY, Cadence also offers comprehensive PCB and package reference design, which are essential in helping customers achieve optimal signal and power integrity (SI/PI) for their systems.

Cadence is dedicated to ensuring customer success beyond just providing hardware. They provide expert support in SI/PI, collaborating closely with customers throughout the design process. This approach ensures that customers can benefit from Cadence's expertise in navigating the complexities of high-speed design and achieving optimal performance in their AI inference systems.

As the AI market continues to advance, Cadence remains at the forefront by offering a comprehensive memory IP portfolio tailored for every segment of this dynamic market. From DDR5 and HBM3E, which cater to the intensive demands of training in servers and high-performance computing (HPC), to LPDDR5X designed for low-end inference at the network edge and in consumer devices, Cadence's offerings cover a wide range of applications.

Looking to the future, Cadence is dedicated to innovating at the forefront of memory system performance, ensuring that the evolving needs of AI training and inference are met with the highest standards of excellence. Whether it's pushing the boundaries with GDDR7 or exploring new technologies, Cadence is dedicated to driving the AI revolution forward, one breakthrough at a time.

Learn more about Cadence GDDR7 PHY

Learn more about Cadence Simulation VIP for GDDR7.

Hi all,

I have off grid violations on M2 layer. I have tried ecoRoute -fix_drc and deleting violations and rerouting. But the tool is still placing these routes off grid. The on grid option in nanoroute is turned on. Since there is a fat metal closer to these routes, the tool is honouring the drc and not placing the metals on track. How do I ignore drc while routing? Also if there is any other way I can fix it, please let me know 

Hi all, while saving design, there is an error saying a net has tid problem. However the design is saved. Does anybody know how to resolve the Tid problem?

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.

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.

Hello,

When I draw a Fluid Guard Ring in Virtuoso, the layout is not visible, and instead, "do_something=nil" appears.

When I check the details with Q, it shows the same information as a regular NFGR guard ring, and Ctrl+F also displays the instance name, just like with a regular NFGR. 

Additionally, the Pcells of Fluid Guard Rings from previous projects appear broken. 

The version I’m currently using is not different from the one used in the past. Even when I access the same version as the one used during the project, the Pcells still appear broken.

These two issues are occurring, and I’m not sure what to check. I would greatly appreciate it if you could assist me in resolving this issue.

//

A new Python library has been written to facilitate an interface between Python and AWR software using a command structure that adheres more closely to Python coding conventions. This library is labeled "pyawr-utils" and it is installed using the standard Python pip command. Comprehensive documentation for installing and using pyawr-utils is available.(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 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)

The Cadence AWR Design Environment V22.1 production release is now available for download at Cadence Downloads with design environment, AWR Microwave Office, AWR VSS, AWR Analyst, and other enhancements.(read more)

AWR V22.1 software introduces the Pointer-Hybrid optimization method which uses a combination of optimization methods, switching back and forth between methods to efficiently find the lowest optimization error function cost. The optimization algorithm automatically determines when to switch to a different optimization method, making this a superior method over manual selection of algorithms. This method is particularly robust in regards to finding the global minima without getting stuck in a local minima well.(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)

Good morning,
I dug up an old project from 2005 and I should open the schematic to check some things.
This is the schematic of a XILINX XC95108-pq160 CPLD which the XILINX ISE 6.1 software then translated and compiled, to generate a JEDEC file to burn CPLD.

My problem is that I can't open schematics with the versions of Orcad Schematic Entry that I have.
Can anyone help me understand which version of Orcad Schematic Entry I need to install to see these files?

I shared the files on:
drive.google.com/.../view

Thank you very much

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.

In a package design, designers often need to perform degassing. This is typically done at the end of the design process before sending the design to the manufacturer.

Degassing is a process where you perforate power planes, voltage planes, and filled shapes in your design. Degassing holes let the gas escape from beneath the metal during manufacturing of the substrate. The perforations or holes for degassing are generally small, having a specified size and shape, and are spaced regularly across the surface of the plane. If the degassing process is not done, it may result in the formation of gas bubbles under the metal, which may cause the surface of the metal to become uneven. After you degas the design, it is recommended to perform electrical verification.

Allegro X APD has degassing features that allow users to automate the process and place holes in the entire shape.

In today’s topic, we will talk about how to avoid adding  degassing holes on a particular shape.

Sometimes, a designer may need to avoid adding degassing holes to a particular shape on a layer. All other shapes on the layer can have degassing holes but not this shape. Using the Layer Based Degassing Parameters option, the designer can set the degassing parameters for all shapes on the layer. Now, the designer would like to defer adding degassing holes for this particular shape.

You may wonder if there is an easy way to achieve this. We will now see how this can be done with the tool.

Once the degassing parameters are set, performing Display > Element on any of the shapes on that layer will show the degassing parameters set.

You can apply the Degas_Not_Allowed property to a shape to specify that degassing should not be performed on this shape, even if the degassing requirements are met. Select the shape and add the property as shown below.

Switch to Shape Edit application mode (Setup > Application mode > Shape Edit) and window-select all shapes on the layer. Then, right-click and select Deferred Degassing > All Off.

Now, all shapes on the layer will have degassing holes except for the shape which has the Degas_Not_Allowed property attached to it.

Hi，

Can you tell me which setting is causing this?

In the general edit. I try slide via to other position. but the slide is wrong.

in the cm，i set pad-pad connect is all allowed，and i turn off via to pad spacing in the same net spacing. only turn on via to via spacing in the same net spacing，set to via to via spacing =0.

default the via is closer to the pad edge, I think the correct location is show in the pic2.

Hearing is one of the most essential senses for engaging with the world. It enables us to converse, appreciate music, and remain alert to our surroundings. Hearing loss is a prevalent issue affecting millions of individuals globally and disconnecting them from a world where sound is vital to others and the environment. The World Health Organization (WHO) reports that over 5% of the global population requires hearing rehabilitation, a striking statistic highlighting this issue's pervasive nature. Technology has transformed audiology, evolving from simple ear trumpets to sophisticated modern hearing aids. This advancement began with the invention of the transistor, paving the way for devices that are fully wearable inside or behind the ear. Although hearing aids have been available for many years, historically, access to these critical devices has been insufficient, resulting in numerous individuals lacking the necessary support. However, recent advances in hearing aid technology promise improved acoustic experiences, employing modern techniques like binaural processing and neural networks. These innovations demand sophisticated architecture to balance high memory needs with low power consumption in a user-friendly design. Cadence is at the forefront of this technological evolution, offering tools and IP solutions that enhance the accessibility, efficiency, and impact of hearing aids, paving the way for a more inclusive future. This blog explores how Cadence's advanced DSPs are transforming hearing aid design and making them more accessible, efficient, and impactful. Hearing Aids: A Testament to Human Ingenuity The transition from analo g to digital technology in the late 20th century further transformed hearing aids, offering superior sound quality, customization, and the ability to connect to various electronic devices, thus enhancing the user experience markedly. Today's hearing aids are highly effective, versatile, and nearly invisible, a significant advancement from early attempts to address hearing loss. They also feature advanced noise cancellation and connectivity options, allowing users to integrate seamlessly into the digital world. This progression not only highlights the industry's commitment to improving user experience and accessibility but also offers a glimpse into a future where hearing loss is no longer a barrier. Challenges Despite advancements and sophistication, there are several challenges related to hearing aid design and adoption. Users demand smaller, more discreet devices that don't sacrifice performance. While the shift towards sleeker designs is aesthetically pleasing, it introduces substantial complexities in product design. Designers face the challenges of integrating essential components, such as batteries and peripherals, into increasingly compact spaces. Power consumption remains a critical concern, as these devices must remain operational throughout the day. Leveraging neural networks to enhance the signal-to-noise ratio (SNR) for better quality demands additional memory capacity. Consequently, there is a pressing need for flexible, low-power architectures that incorporate all necessary memory and peripherals without compromising the device’s compact size. Adopting AI for adjusting hearing aid volume to fit an individual's specific auditory requirements is a significant challenge and demands more memory and effort. Besides this, reliability and cost are significant challenges for manufacturers. Cadence's Role in Transforming Hearing Aids In hearing aid development, the capacity to evaluate the energy efficiency of SoCs across different frequencies in real time is crucial. These applications demand cohesive, energy-efficient solutions that can uphold high performance. The Cadence Tensilica HiFi and Fusion F1 DSP family emphasize minimal power usage while providing robust performance, ideally suited for a wide range of audio and voice applications. The Cadence Tensilica HiFi DSP family, a high-performance audio technology with AI acceleration and advanced DSP capability, offers feature-rich audio, speech, and imaging for wearables, automotive, home entertainment, digital assistants, and ASR. The Tensilica HiFi DSP family accelerates innovation with its comprehensive instruction set and supports fixed- and floating-point data types. Simplifying software development, it offers C/C++ programming, an auto-vectorizing compiler, and a rich DSP software library through the Cadence Tensilica Xplorer development environment. With the flexibility to customize and enhance performance through additional instructions and better I/O bandwidth, the Tensilica HiFi and Fusion DSP families offer a robust, low-energy audio solution compatible across an expansive software ecosystem for various applications and devices. Conclusion Technological advancements are driving hearing aid evolution; the future of hearing aids lies in further miniaturization and functionality enhancement. Cadence's ongoing innovations aim to improve signal processing and noise reduction, even in challenging environments. The integration of neural networks promises more apparent sound transmission and greater adaptability. Cadence is working on improving how these devices process signals and reduce noise and has initiated a collaborative venture with distinguished entities like GlobalFoundries (GF), Hoerzentrum Oldenburg gGmbH, and Leibniz University Hannover. This collaboration has borne fruit in the form of the industry's first binaural hearing aid system-on-chip (SoC) prototype, the Smart Hearing Aid Processor ( SmartHeAP ). Learn More Cadence, GlobalFoundries, Hoerzentrum Oldenburg and Leibniz University Hannover Collaborate to Advance Hearing Aid Technology Cadence Extends Battery Life and Improves User Experience for Next-Generation Hearables, Wearables and Always-On Devices Advancing the Future of Hearing Aids with Cadence Bluetooth LE Audio, Hearing Aids, and Mindtree

Peripheral Component Interconnect Express (PCIe) is a high-speed interface standard widely used for connecting processors, memory, and peripherals. With the increasing reliance on PCIe to handle sensitive data and critical high-speed data transfer, ensuring data integrity and encryption during verification is the most essential goal. As we know, in the field of verification, randomization is a key technique that drives robust PCIe verification. It introduces unpredictability to simulate real-world conditions and uncover hidden bugs from the design. This blog examines the significance of randomization in PCIe IDE verification, focusing on how it ensures data integrity and encryption reliability, while also highlighting the unique challenges it presents. For more relevant details and understanding on PCIe IDE you can refer to Introducing PCIe's Integrity and Data Encryption Feature . The Importance of Data Integrity and Data Encryption in PCIe Devices Data Integrity : Ensures that the transmitted data arrives unchanged from source to destination. Even minor corruption in data packets can compromise system reliability, making integrity a critical aspect of PCIe verification. Data Encryption : Protects sensitive data from unauthorized access during transmission. Encryption in PCIe follows a standard to secure information while operating at high speeds. Maintaining both data integrity and data encryption at PCIe’s high-speed data transfer rate of 64GT/s in PCIe 6.0 and 128GT/s in PCIe 7.0 is essential for all end point devices. However, validating these mechanisms requires comprehensive testing and verification methodologies, which is where randomization plays a very crucial role. You can refer to Why IDE Security Technology for PCIe and CXL? for more details on this. Randomization in PCIe Verification Randomization refers to the generation of test scenarios with unpredictable inputs and conditions to expose corner cases. In PCIe verification, this technique helps us to ensure that all possible behaviors are tested, including rare or unexpected situations that could cause data corruption or encryption failures that may cause serious hindrances later. So, for PCIe IDE verification, we are considering the randomization that helps us verify behavior more efficiently. Randomization for Data Integrity Verification Here are some approaches of randomized verifications that mimic real-world traffic conditions, uncovering subtle integrity issues that might not surface in normal verification methods. 1. Randomized Packet Injection: This technique randomized data packets and injected into the communication stream between devices. Here we Inject random, malformed, or out-of-sequence packets into the PCIe link and mix valid and invalid IDE-encrypted packets to check the system’s ability to detect and reject unauthorized or invalid packets. Checking if encryption/decryption occurs correctly across packets. On verifying, we check if the system logs proper errors or alerts when encountering invalid packets. It ensures coverage of different data paths and robust protocol check. This technique helps assess the resilience of the IDE feature in PCIe in below terms: (i) Data corruption: Detecting if the system can maintain data integrity. (ii) Encryption failures: Testing the robustness of the encryption under random data injection. (iii) Packet ordering errors: Ensuring reordering does not affect data delivery. 2. Random Errors and Fault Injection: It involves simulating random bit flips, PCRC errors, or protocol violations to help validate the robustness of error detection and correction mechanisms of PCIe. These techniques help assess how well the PCIe IDE implementation: (i) Detects and responds to unexpected errors. (ii) Maintains secure communication under stress. (iii) Follows the PCIe error recovery and reporting mechanisms (AER – Advanced Error Reporting). (iv) Ensures encryption and decryption states stay synchronized across endpoints. 3. Traffic Pattern Randomization: Randomizing the sequence, size, and timing of data packets helps test how the device maintains data integrity under heavy, unpredictable traffic loads. Randomization for Data Encryption Verification Encryption adds complexity to verification, as encrypted data streams are not readable for traditional checks. Randomization becomes essential to test how encryption behaves under different scenarios. Randomization in data encryption verification ensures that vulnerabilities, such as key reuse or predictable patterns, are identified and mitigated. 1. Random Encryption Keys and Payloads: Randomly varying keys and payloads help validate the correctness of encryption without hardcoding assumptions. This ensures that encryption logic behaves correctly across all possible inputs. 2. Randomized Initialization Vectors (IVs): Many encryption protocols require a unique IV for each transaction. Randomized IVs ensure that encryption does not repeat patterns. To understand the IDE Key management flow, we can follow the below diagram that illustrates a detailed example key programming flow using the IDE_KM protocol. Figure 1: IDE_KM Example As Figure 1 shows, the functionality of the IDE_KM protocol involves Start of IDE_KM Session, Device Capability Discovery, Key Request from the Host, Key Programming to PCIe Device, and Key Acknowledgment. First, the Host starts the IDE_KM session by detecting the presence of the PCIe devices; if the device supports the IDE protocol, the system continues with the key programming process. Then a query occurs to discover the device’s encryption capabilities; it ensures whether the device supports dynamic key updates or static keys. Then the host sends a request to the Key Management Entity to obtain a key suitable for the devices. Once the key is obtained, the host programs the key into the IDE Controller on the PCIe endpoint. Both the host and the device now share the same key to encrypt and authenticate traffic. The device acknowledges that it has received and successfully installed the encryption key and the acknowledgment message is sent back to the host. Once both the host and the PCIe endpoint are configured with the key, a secure communication channel is established. From this point, all data transmitted over the PCIe link is encrypted to maintain confidentiality and integrity. IDE_KM plays a crucial role in distributing keys in a secure manner and maintaining encryption and integrity for PCIe transactions. This key programming flow ensures that a secure communication channel is established between the host and the PCIe device. Hence, the Randomized key approach ensures that the encryption does not repeat patterns. 3. Randomization PHE: Partial Header Encryption (PHE) is an additional mechanism added to Integrity and Data Encryption (IDE) in PCIe 6.0. PHE validation using a variety of traffic; incorporating randomization in APIs provided for validating PHE feature can add more robust Encryption to the data. Partial Header Encryption in Integrity and Data Encryption for PCIe has more detailed information on this. Figure 2: High-Level Flow for Partial Header Encryption 4. Randomization on IDE Address Association Register values: IDE Address Association Register 1/2/3 are supposed to be configured considering the memory address range of IDE partner ports. The fields of IDE address registers are split multiple values such as Memory Base Lower, Memory Limit Lower, Memory Base Upper, and Memory Limit Upper. IDE implementation can have multiple register blocks considering addresses with 32 or 64, different registers sizes, 0-255 selective streams, 0-15 address blocks, etc. This Randomization verification can help verify all the corner cases. Please refer to Figure 2. Figure 3: IDE Address Association Register 5. Random Faults During Encryption: Injecting random faults (e.g., dropped packets or timing mismatches) ensures the system can handle disruptions and prevent data leakage. Challenges of IDE Randomization and its Solution Randomization introduces a vast number of scenarios, making it computationally intensive to simulate every possibility. Constrained randomization limits random inputs to valid ranges while still covering edge cases. Again, using coverage-driven verification to ensure critical scenarios are tested without excessive redundancy. Verifying encrypted data with random inputs increases complexity. Encryption masks data, making it hard to verify outputs without compromising security. Here we can implement various IDE checks on the IDE callback to analyze encrypted traffic without decrypting it. Randomization can trigger unexpected failures, which are often difficult to reproduce. By using seed-based randomization, a specific seed generates a repeatable random sequence. This helps in reproducing and analyzing the behavior more precisely. Conclusion Randomization is a powerful technique in PCIe verification, ensuring robust validation of both data integrity and data encryption. It helps us to uncover subtle bugs and edge cases that a non-randomized testing might miss. In Cadence PCIe VIP, we support full-fledged IDE Verification with rigorous randomized verification that ensures data integrity. Robust and reliable encryption mechanisms ensure secure and efficient data communication. However, randomization also brings various challenges, and to overcome them we adopt a combination of constrained randomization, seed-based testing, and coverage-driven verification. As PCIe continues to evolve with higher speeds and focuses on high security demands, our Cadence PCIe VIP ensures it is in line with industry demand and verify high-performance systems that safeguard data in real-world environments with excellence. For more information, you can refer to Verification of Integrity and Data Encryption(IDE) for PCIe Devices and Industry's First Adopted VIP for PCIe 7.0 . More Information: For more info on how Cadence PCIe Verification IP and TripleCheck VIP enables users to confidently verify IDE, see our VIP for PCI Express , VIP for Compute Express Link for and TripleCheck for PCI Express For more information on PCIe in general, and on the various PCI standards, see the PCI-SIG website .

Hey, is it suitable to post here? I wanted a small yet robust amp for practicing while I travel. I wanted something that would fit in my pocket yet still be loud enough to hear.

Presented here is a amplifier based upon the LM386 Audio Amplifier.

There is a standard circuit in the data sheet that is an excellent place to start.

Materials needed:
1 - HM359 project box
1 - 668-1237 speaker
1 - BS6I battery conn
1 - CP1-3515 stereo jack
1 - SC1316 stereo jack
2 - 450-1742 knob
1 - 679-1856 switch
1- 3mm LED
1 - 10 ohm 1/4W resistor
1 - 10uF ceramic cap
1 - .05 uF ceramic cap
1 - 420 uF electrolytic cap
1 - 8 ohm resistor
2 - 51AADB24 10K pot
1 - HM1252 circuit board
1 - LM386N-4 amplifier

Wire and Solder
Step 1: Prep the enclosure

Careful planning is required the first time you free build a circuit. The circuit board has solder pads but not traces. You will have to use thin wire to make the connections for the circuit to work.

Begin by laying out the components on the circuit board that will need to pass through the enclosure. This enclosure has a removable top panel which will be used for the volume, gain and 1/4 inch stereo jack.

Space is limited to check for fit before drilling.

All drilling of the plastic should be done with a step drill bit. This will make the cleanest holes without breaking the plastic.

Lay out the pots a few spaces back but still in line with the desired position. mark the center of each pot shaft then drill with a step drill tot he tightest fitting hole size. Make a center mark between the pot holes then drill for the stereo jack

On the inside of the top cover position and mark where the speaker will go.

Make a template on grid paper the same size as the speaker.

Tape the template to the inside of the cover as shown then use a step bit to drill holes on the center of every square in the grid. This will form the speaker grille. clean up the holes.

Step 2: place the major components

Solder the pots to the circuit board as shown. then place the stereo jack(note in order to get the final fit I had to trim and modify the stereo jack housing a little)

Next, position and solder the switch on the circuit board and mark a space on the top cover that will need to be cut for the switch opening. Use a small file to cut the opening.

Use a sharp knife to bevel the edges of the switch hole to allow for easier operation.

Drill a hole in the side of the upper case for the headphone jack and fasten it in place. ( I had to recess the hole a bit for the retaining nut to grab)

Step 3: Build the circuit

The speaker is held in place by using 2 small brackets that come with the serial cable connector hood. ( I had a bunch around that would never be used)

Refer the the circuit shown from the datasheet and the datasheet for the LM386. The basic circuit only has the volume control while the datasheet shows how to add a gain control across pins 1 and 8 of the amplifier.

The speaker is wired in series with the headphone jack. The headphone jack has internal switches that shut the speaker off when the phones are plugged in.

I chose to use a chip socket for the amplifier which make prototyping easier since you do not have to worry about solder heating as much.

Carefully lay the circuit out on the board and begin wiring components together. I added a second pot and cap in series between pins 1 and 8 of the amp to be able to manually set the gain in addition to volume.

Check you connections with a multimeter before adding the amplifier.

I chose to add a LED indicator for power. This was done by using one side of switch contacts from the battery. The LED is in series with a 220 ohm resistor.

Assemble the case and insert the battery.

Step 4: Final notes

If the speaker is noisy while the headphones work normally, try reversing the speaker connections. If it does not correct the issue, connect a 8 ohm resistor across the speaker contacts.

You may have to place an insulating layer between the speaker and the place where the stereo jack comes through to prevent contact. This will be noted by a loud buzz.

You may have to add some foam in the battery compartment to stop the battery from banging around.

For reference, I've also read an article about amplifiers: http://www.apogeeweb.net/article/60.html

Thanks for reading!
​

Hi, all.

When I use vavlog to compile verilog rtl, it will recognize IO width mismatch problem as a fatal error.

How to turn the error into warning?

VCS can use -error=noIOPCWM to ingore the error.

Is vavlog has similar arguments?

This is the 20th installment of The Rationalist, my column for the Times of India.

Amit Shah’s induction into the union cabinet is such an interesting moment. Even partisans who oppose the BJP, as I do, would admit that Shah is a political genius. Under his leadership, the BJP has become an electoral behemoth in the most complicated political landscape in the world. The big question that now arises is this: can Shah do for India what he did for the BJP?

This raises a perplexing question: in the last five years, as the BJP has flourished, India has languished. And yet, the leadership of both the party and the nation are more or less the same. Then why hasn’t the ability to manage the party translated to governing the country?

I would argue that there are two reasons for this. One, the skills required in those two tasks are different. Two, so are the incentives in play.

Let’s look at the skills first. Managing a party like the BJP is, in some ways, like managing a large multinational company. Shah is a master at top-down planning and micro-management. How he went about winning the 2014 elections, described in detail in Prashant Jha’s book How the BJP Wins, should be a Harvard Business School case study. The book describes how he fixed the BJP’s ground game in Uttar Pradesh, picking teams for 147,000 booths in Uttar Pradesh, monitoring them, and keeping them accountable.

Shah looked at the market segmentation in UP, and hit upon his now famous “60% formula”. He realised he could not deliver the votes of Muslims, Yadavs and Jatavs, who were 40% of the population. So he focussed on wooing the other 60%, including non-Yadav OBCs and non-Jatav Dalits. He carried out versions of these caste reconfigurations across states, and according to Jha, covered “over 5 lakh kilometres” between 2014 and 2017, consolidating market share in every state in this country. He nurtured “a pool of a thousand new OBC and Dalit leaders”, going well beyond the posturing of other parties.

That so many Dalits and OBCs voted for the BJP in 2019 is astonishing. Shah went past Mandal politics, managing to subsume previously antagonistic castes and sub-castes into a broad Hindutva identity. And as the BJP increased its depth, it expanded its breadth as well. What it has done in West Bengal, wiping out the Left and weakening Mamata Banerjee, is jaw-dropping. With hindsight, it may one day seem inevitable, but only a madman could have conceived it, and only a genius could have executed it.

Good man to be Home Minister then, eh? Not quite. A country is not like a large company or even a political party. It is much too complex to be managed from the top down, and a control freak is bound to flounder. The approach needed is very different.

Some tasks of governance, it is true, are tailor-made for efficient managers. Building infrastructure, taking care of roads and power, building toilets (even without an underlying drainage system) and PR campaigns can all be executed by good managers. But the deeper tasks of making an economy flourish require a different approach. They need a light touch, not a heavy hand.

The 20th century is full of cautionary tales that show that economies cannot be centrally planned from the top down. Examples of that ‘fatal conceit’, to use my hero Friedrich Hayek’s term, include the Soviet Union, Mao’s China, and even the lady Modi most reminds me of, Indira Gandhi.

The task of the state, when it comes to the economy, is to administer a strong rule of law, and to make sure it is applied equally. No special favours to cronies or special interest groups. Just unleash the natural creativity of the people, and don’t try to micro-manage.

Sadly, the BJP’s impulse, like that of most governments of the past, is a statist one. India should have a small state that does a few things well. Instead, we have a large state that does many things badly, and acts as a parasite on its people.

As it happens, the few things that we should do well are all right up Shah’s managerial alley. For example, the rule of law is effectively absent in India today, especially for the poor. As Home Minister, Shah could fix this if he applied the same zeal to governing India as he did to growing the BJP. But will he?

And here we come to the question of incentives. What drives Amit Shah: maximising power, or serving the nation? What is good for the country will often coincide with what is good for the party – but not always. When they diverge, which path will Shah choose? So much rests on that.

The India Uncut Blog © 2010 Amit Varma. All rights reserved.
Follow me on Twitter.

Hello Fellow PCB Designers,

We have a 10 layer PCB design that originated in Pads and was converted over to Allegro 17.4, this is an old design but is manufacturable and works perfectly fine.  When I try to generate a Gerber for the Top or Bottom layers

the Gerber comes out fine.  But Most of the middle layers are Etch's and via's for power and grounds, but the Gerber's come mostly blank, there might be some details, but in the Gerber view everything is displayed correctly.

The design does have many close spacings, I have not changed anything in the constrains manager yet, turned off a lot of the DRC's, but thinking there might be something wrong with the constrains.

  I find that the CSet is set to 2_18, not sure yet what this means, also there are many of these definitions, PCS 3,4,5,ect, are the same as CSet 2_18 any suggestions would be great, we are currently looking into this, have seen

that even small change in constraint manager can cause long processing and even Allegro crashing, this is a large project.

Thanks Much, Thanks, Mike Pollock.

As the title suggests I am unable to perform design sync between OrCAD Capture and Allegro. When I add a layout and try to sync to it I am given ERROR(ORCAP-2426): Cannot run Design Sync because of errors. See session log for error details.

Session Log

[ORPCBFLOW] : Invoking ECO dialog.
INFO(ORNET-1176): Netlisting the design
INFO(ORNET-1178): Design Name:
C:USERSDDOYLEDOCUMENTSCADENCEBOARDSREMOTE POWER DEVICECAPTUREREMOTE_POWER_DEVICE.DSN
Netlist Directory:
c:usersddoyledocumentscadenceoards emote power devicelayoutallegro
Configuration File:
C:CadenceSPB_17.4 ools/capture/allegro.cfg
pstswp.exe - pst - d "C:USERSDDOYLEDOCUMENTSCADENCEBOARDSREMOTE POWER DEVICECAPTUREREMOTE_POWER_DEVICE.DSN"- n "c:usersddoyledocumentscadenceoards emote power devicelayoutallegro" - c "C:CadenceSPB_17.4 ools/capture/allegro.cfg" - v 3 - l 31 - s "" - j "PCB Footprint" - hpath "HPathForCollision"
Spawning... pstswp.exe - pst - d "C:USERSDDOYLEDOCUMENTSCADENCEBOARDSREMOTE POWER DEVICECAPTUREREMOTE_POWER_DEVICE.DSN"- n "c:usersddoyledocumentscadenceoards emote power devicelayoutallegro" - c "C:CadenceSPB_17.4 ools/capture/allegro.cfg" - v 3 - l 31 - s "" - j "PCB Footprint" - hpath "HPathForCollision"
{ Using PSTWRITER 17.4.0 d001Dec-14-2021 at 09:00:49 }

INFO(ORCAP-36080): Scanning netlist files ...

Loading... c:usersddoyledocumentscadenceoards emote power devicelayoutallegropstchip.dat

Loading... c:usersddoyledocumentscadenceoards emote power devicelayoutallegropstchip.dat

Loading... c:usersddoyledocumentscadenceoards emote power devicelayoutallegropstxprt.dat

Loading... c:usersddoyledocumentscadenceoards emote power devicelayoutallegropstxnet.dat
packaging the design view...
Exiting... pstswp.exe - pst - d "C:USERSDDOYLEDOCUMENTSCADENCEBOARDSREMOTE POWER DEVICECAPTUREREMOTE_POWER_DEVICE.DSN"- n "c:usersddoyledocumentscadenceoards emote power devicelayoutallegro" - c "C:CadenceSPB_17.4 ools/capture/allegro.cfg" - v 3 - l 31 - s "" - j "PCB Footprint" - hpath "HPathForCollision"
INFO(ORNET-1179): *** Done ***

This issue started to occur after I changed parts that exist on previously created PCBs. I changed the following leading up to this:

1. Added height in Allegro to many of my components using the Setup->Area->Package Height tool.

2. Changed the reference designator category in OrCAD Capture to TP for several components on board.

Any advice here would be most welcome. Thanks!

I have tried replicating the setup described in a previous post (here), with the proposed solution.

The MDL measurements return a value of 0 for all exported result but the first.

Using Viva I can actually see the correct value for each contribution.

I am using :
- Spectre 23.1.0.538.isr10
- Viva IC23.1-64b.ISR8.40

What should I do differently?

Thanks!

**** test.measure ****

Measurement Name   :  noi_test
Analysis Type      :  noise
noi_total             =  6.9282e-06
r1_flicker            =  0
r1_thermal            =  0
r1_total              =  0
r2_flicker            =  0
r2_thermal            =  0
r2_total              =  0

How can I place stacked vias with the size exact same cut width without metals around?
As the red part only in the image below?

Hi, I'm using the xcelium simulator to simulate a testbench, in which I first stimulate my design to do something (part "A") and then do a direct follow-up test on the design (part "B").

I need two things from this testbench: the results of the test (part "B", passed/failed) and coverage information, but the coverage information should only include part A and explicitly not part B.

I could do the following: run the testbench with part A and B, get the "passed/failed" result of the test and then follow up another simulator run with another testbench, that only includes part A and get the coverage information from that simulation run.

Is there a way to force xcelium to give me the coverage information of only a part of the simulation? Ideally, I would like to write the verilog code of my testbench to look something like this:

• do A
• dump coverage information
• do B

But maybe there is another way to tell xcelium to consider only part of the testbench for the coverage information. I did have a look at the manual, but was not able to find something useful for this problem. Any ideas?

I have been using the rank feature to identify tests that are redundant in our environment, but then I realized I'd also like to be able to see exactly what coverage goes into increasing the delta_cov value for a given test. If I had a test in my rank report that contributed 0.5% of the delta_cov, how could I got about seeing exactly where that 0.5% was coming from? It seems like that might be part of the correlate function, but I couldn't mange to find a way to see what specific coverage was being contributed for a given test.