“(I’m Your) Heat Pump” is a soft, funky, R&B love song told from the perspective of a heat pump that depicts just what a heat pump can provide to its users.

This new private-public partnership wants to quadruple heat pump installation in California over the next 6 years.

Every year, The ACHR NEWS introduces the latest heating equipment that is available for the upcoming winter season.

Every year, The ACHR NEWS introduces the latest heating equipment that is available for the upcoming winter season.

Cold climate heat pumps were on full display on the AHR show floor and manufacturers were eager to share their progress reports in the Department of Energy’s CCHP Challenge.

The residential heating showcase is designed to help HVAC contractors learn about the new heating equipment that is available for the upcoming cooler months.

The biggest tip is that combustion analysis should be the first and last thing completed during any heating appliance repair.

The final rule from the U.S. Department of Energy, issued recently, requires newly manufactured indoor residential gas furnaces to be at least 95% efficient starting in December 2028, meaning furnaces made after then will have to be condensing models.

The residential heating showcase is designed to help HVAC contractors learn about the new heating equipment that is available for the upcoming cooler months.

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In this Episode we have the pleasure of talking with Gregor Kiczales. Gregor is one of the fathers of aspect-oriented programming (AOP). Today he is a professor of computer science at the University of British Columbia. Back in his days at Xerox Parc, he and a number of other people worked on the early forms of AOP as well as on some of its forerunners, such as meta object protocols. In this interview, we talk about a number of interesting topics, such as the history of AOP, the relationship of AO to interceptors, the industry acceptance of AOP, early aspects (i.e. using AO in development phased before implementation) as well as adoption strategies for AOP.

In this Episode, we talk to Michael Stal, a Senior Principal Engineer at Siemens Corporate Technology, POSA 1 and 2 Co-Author and Editor of the german JavaSpetrum magazine. Since Michael's core focus is middlware, much of our discussion centered around that topic. Webservices and SOA, of course, have also been covered. Other topics include Java vs. .NET as well as Patterns.

This Episode is a round table discussion about Ultra-Large Scale Systems. In 2006, a number of authors (among them our guests Linda Northrop, Doug Schmidt, Kevin Sullivan, and Gregor Kiczales) have produced a report that addressed the following question: Given the issues with today's software engineering, how can we build the systems of the future that are likely to have billions of lines of code? In this episode, our guests discuss many of the issues that arise from this kind of system and provide an overview of the research areas that should be investigated in order to tackle the challenge. If you want to get more detailed information, you can read the ULS Report (PDF).

This episode is a discussion with Jonathan Aldrich (Assistant Professor at CMU) about static analysis. The discussion covered theory as well as practice and tools. We started with an explanation of what static analysis actually is, which kinds of errors it can find and how it is different from testing and reviews. The core challenge of such an analysis tool is to understand the semantics of the program and reduce its possible state space to make it analysable - in effect reconstructing the programmer's intent from the code. The user can "help" the tool with this challenge by using suitable annotations; also, languages could do a better job of being analysable. The conceptual discussion was concluded by looking at the principles of static analysis (termination, soundness. precision) and how this approach relates to model analysis. The second more practical part started out with a discussion of how Microsoft successfully uses static analysis in their Windows development. We then discussed some of the tools available; these include Findbugs, Coverity, Codesonar, Clockwork, Fortify, Polyspace and Codesurfer. To conclude the discussion of tools, we discussed the commonalities and differences with architecture visualization tools as well as metrics and heuristics. Part three of the discussion briefly looked at how to introduce static analysis tools into an organization's development process and tool chain. We concluded the discussion by looking at situations where static analysis does not work, as well as at the FLUID research project at CMU.

This show takes a behind-the-scenes look at compilers and their inner workings, using the Gnu compiler collection (GCC) as an example. Arno interview Morgan Deters, covering all steps from the parsing of different programming languages to machine independenet optimizations and generating processor specific binary code.

In this Episode we talk about the Scala language with its creator Martin Odersky. Scala is a language that fuses object oriented and functional programming. Martin started out by providing a two-minute overview over the language, and then talked a little bit about its history. We then discussed the basics of functional programming. The main part of the episode features a discussion of some of the important features of the Scala language:

• Case Classes and Pattern Matching
• Multiple Inheritance and Compound Types, Traits, Mixins
• Closures
• Functions as types, "Function pointers", Anonymous functions
• Higher Order Functions
• Currying
• (Sequence) Comprehensions
• Generics
• Type Bounds (Upper, Lower)
• Static/Dynamic Typing, Type Inference
• Operators
• Implicits

This episode features a discussion with Dan Grossman about an essay paper he wrote for this year's OOPSLA conference. The paper is about an analogy between garbage collection and transactional memory. In addition to seeing the beauty of the analogy, the discussion also serves as a good introduction to transactional memory (which was mentioned in the Goetz/Holmes episode) and - to some extent - to garbage collection.

This episode is a conversation with Bruce Powel Douglass on real time systems. We started by discussing what real time software is, and explored the difference between hard and soft real time. We then looked at different scheduling strategies, and the meaning of terms like urgency and importance in the context of scheduling. Next was a discussion of typical architectural styles for real time systems and how architectures are described in this context. This led us to a discussion about the importance of modeling, formalisms and languages as well as the role of automatic code generation from those models. We then looked at how to model QoS aspects and the role of SysML for modeling real time systems. We then had a brief look at which programming languages are used these days for real time systems and the role of static analysis to determine various properties of those programs in advance. The last part of the discussion focused on some best practices for building real time systems, the challenges in distributed real time systems and how real time systems can be tested effectively.

In this special Episode we briefly discuss the upcoming Patterns Journal with the two editors, Ralph Johnson and James Noble.

In this Episode we're discussing patterns for small memory software with the authors of the like-named book Charles Weir and James Noble. We look at various aspects of the small memory problem: How can you manage memory use across a whole system? What can you do when you have run out of primary storage? How can you fit a quart of data into a pint pot of memory? How can you reduce the memory needed for your data? How do you allocate memory to store your data structures? Answers to all those questions are provided in this Episode, and of course in their book.

In this episode we talk to Galen Hunt about the Singularity research OS. Galen is the head of Microsoft's OS Research Group and, together with a team of about 30 other researches, has built Singularity. We started our discussion by covering the basics of Singularity: why it was designed, what the goals of the project are as well as some of the architectural foundations of Singularity: software isolated processes, contract-based channels and manifest-based programs. In this context we also looked at the role of the Spec# and Sing# programming languages and the role of static analysis tools to statically verify important properties of a singularity application. We then looked a little bit more closely at the role of the kernel and how it is different from kernels in traditional OSes. In a second part of the discussion we looked at some of the experiments the group did based on the OS. These include compile-time reflection, using hardware protection domains, heterogenerous multiprocessing as well as the typed assembly language We closed the conversation with a look at some of the performance characteristics of Singularity, compatibility with traditional operating systems and a brief look at how the findings from Singularity influence product development at Microsoft.

In this episode we talk to Matthew Wall (Guardian News and Media) and Erik Doernenburg (Thoughtworks) about their work on the new guardian.co.uk website. We discuss the challenge of scalability and interactivity, their use of Domain Driven Design, some of the technical building blocks as well as the approaches they use for performance measuring and scalability tuning.

In this espisode we take a closer look at relational database systems and the concepts behind them. We start by discussing the relational paradigm, its concepts and ramifications, and go on to architectural aspects.

We start our discussion with a brief look at what Haskell is and how a pure functional language is different from non-pure languages. We then look at the basic building blocks and the philosophy of the language, discussing concepts such as the lambda calculus, closures, currying, immutability, lazy evaluation, memoization, and the role of data types in functional languages. A significant part of the discussion is then spent on the management of side effects in a pure language - in other words, the importance of monads. We conclude the episode with a look at Haskell's importance and community today.

During Evolution of a software system, it becomes more and more difficult to understand the originally planned software architecture. Often an architectural degeneration happens because of various reasons during the development phases. In this session we will be looking how to avoid such architectural decay and degeneration and how continuous monitoring can improve the situation (and avoid architectural violations). In addition we will look at "refactoring in the large" and how refactoring can be simulated. A new family of "lint like tools for software architectures" is currently emerging in the marketplace I will show some examples and how they scale and support you in real world projects.

In this episode we look at SUN's open source strategy for the OpenJDK. We discuss challenges in creating such a big open source project, and ways to keep it focused and organized. We discuss what it means for the Java runtime to be adopted as the technological foundation for other programming languages.

This episode is a discussion about code and metrics visualization with Michele Lanza. Michele invented the Code Cities idea about which he talks in this episode.

This episode is an interview with Tom DeMarco and Peter Hruschka about the new book of the Altantic Systems Guild: Adrenaline Junkies and Template Zombies: Understanding Patterns of Project Behavior. This is a session recorded live at OOP 2009. SE Radio thanks Tom and Peter, SIGS Datacom and the programme chair, Frances Paulisch, for their great support!

In this episode, Allan shares his insights about how learning is a necessary part of software development. He covers the personal as well as the team and the organizational level and offers practical advice.

In this episode we talk with Doug Simon from Sun Microsystems Laboratories about the Maxine Research VM, a so-called meta-circular virtual machine. Maxine is a JVM that is written itself in Java, but aims at taking JVM development to the next level while using highly integrated Java IDEs as development environments and running and debugging the VM itself directly from the Inspector, an IDE-like tool specialized for the Maxine VM. During the episode we talk about the basic ideas behind Maxine, what exactly "meta-circular" means and what makes it interesting and promising to build a Java VM in Java. We talk about the relationship to Sun's current production JVM (HotSpot) and about ideas and directions for the future of Maxine.

This episode is a discussion with Shane Clifford, who is a development manager at Intentional Software. We discuss the idea behind intentional programming, key concepts of the technology as well as example uses and a little bit of history.

In this episode, Robert talks with Nati Shalom about the emergence of large-system architectures consisting of a grid of high-memory nodes.

This episode is an update on the developments around the Scala language.

Recording Venue: Skype Guest: Martin Fowler and Pramod Sadalage In this episode, we talk with Pramod Sadalage and Martin Fowler about database evolution and agile database development. We discuss the basic challenges for working with a database in an agile development culture and how to include database design and most of all, database evolution, in […]

Recording Venue: WebEx Guest: Jim Benson Jim Benson is CEO of Modus Cooperandi, a collaborative management consultancy in Seattle, Washington. After being steeped in Agile for many years, Jim started working with Kanban and Lean thinking in 2005. In 2008, he started taking this idea further with Personal Kanban, which brings flow based work to the […]

Recording Venue: WebEx Guest: Wil van der Aalst Robert Blumen interviews Professor Wil van der Aalst of the Technical University of Eindhoven, one of the world’s leading researchers in business process management and workflow systems. Professor van der Aalst leads off with an overview of the main concepts in the field business processes, business process […]

Martin Thompson, proprietor of the blog Mechanical Sympathy, founder of the LMAX disruptor open source project, and a consultant and frequent speaker on high performance computing talks with Robert about computer program performance. Martin explains the meaning of the term “mechanical sympathy,” derived from auto racing, and its relevance to program performance: the importance of […]

Johannes Thönes talks to Dr. Ken Collier, Director of Agile Analytics at ThoughtWorks about Agile Analytics. The outline includes: descriptive analytics, predictive analytic and prescriptive analytics; artificial intelligence, machine learning, data mining and statistics; collaborative filtering; data science and data scientists; data warehousing and business intelligence; online analytical processing (OLAP), extract transform load (ETL), feature […]

Nathan Marz is the creator of Apache Storm, a real-time streaming application. Storm does for stream processing what Hadoop does for batch processing. The project began when Nathan was working on aggregating Twitter data using a queue-and-worker system he had designed. Many companies use Storm, including Spotify, Yelp, WebMD, and many others. Jeff and Nathan […]

Alex Budzier of the Oxford Saïd Business School and Jürgen Laartz of McKinsey Berlin join Robert Blumen to talk about the their research on large IT project failures. Why do large projects fail and to what extent are these failures avoidable?

Jeff Meyerson talks to Haoyuan Li about Alluxio, a memory-centric distributed storage system. The cost of memory and disk capacity are both decreasing every year–but only the throughput of memory is increasing exponentially. This trend is driving opportunity in the space of big data processing. Alluxio is an open source, memory-centric, distributed, and reliable storage system enabling data sharing across clusters at memory speed. Alluxio was formerly known as Tachyon. Haoyuan is the creator of Alluxio. Haoyuan was a member of the Berkeley AMPLab, which is the same research facility from which Apache Mesos and Apache Spark were born. In this episode, we discuss Alluxio, Spark, Hadoop, and the evolution of the data center software architecture.