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Embedded.com - Early verification cuts design time & cost in algorithm-intensive systems - 0 views

  • Verification of algorithm-intensive systems is a long, costly process. Studies show that the majority of flaws in embedded systems are introduced at the specification stage, but are not detected until late in the development process. These flaws are the dominant cause of project delays and a major contributor to engineering costs. For algorithm-intensive systems —including systems with communications, audio, video, imaging, and navigation functions— these delays and costs are exploding as system complexity increases. It doesn't have to be this way. Many designers of algorithm-intensive systems already have the tools they need to get verification under control. Engineers can use these same tools to build system models that help them find and correct problems earlier in the development process. This can not only reduce verification time, but also improves the performance of their designs. In this article, we'll explain three practical approaches to early verification that make this possible. First, let's examine why the current algorithm verification process is inefficient and error-prone. In a typical workflow, designs start with algorithm developers, who pass the design to hardware and software teams using specification documents.
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NVIDIA and University of Illinois Join Forces To Release World's First Textbook On Prog... - 0 views

  • The first textbook of its kind, Programming Massively Parallel Processors: A Hands-on Approach launches today, authored by Dr. David B. Kirk, NVIDIA Fellow and former chief scientist, and Dr. Wen-mei Hwu, who serves at the University of Illinois at Urbana-Champaign as Chair of Electrical and Computer Engineering in the Coordinated Science Laboratory, co-director of the Universal Parallel Computing Research Center and principal investigator of the CUDA Center of Excellence. The textbook, which is 256 pages, is the first aimed at teaching advanced students and professionals the basic concepts of parallel programming and GPU architectures. Published by Morgan Kaufmann, it explores various techniques for constructing parallel programs and reviews numerous case studies. With conventional CPU-based computing no longer scaling in performance and the world’s computational challenges increasing in complexity, the need for massively parallel processing has never been greater. GPUs have hundreds of cores capable of delivering transformative performance increases across a wide range of computational challenges. The rise of these multi-core architectures has raised the need to teach advanced programmers a new and essential skill: how to program massively parallel processors.
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    This, I want to read....
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Hey Niners, Got any Windows issues we can (try and) solve for you on Help Desk? | The C... - 0 views

  • From Nic:   We're piloting a new show idea on Wednesday called Help Desk where we put together a group of Windows trouble shooting gurus and get them to answer your Windows PC issues live on the air...   Any Niners out there have Windows PC issues/questions they need some help with?   Send to ch9live(AT)microsoft(DOT)com or tweet us @ch9live and make sure to watch the show live or check out the broadcast afterwards on demand.
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Multi-Core and Parallel Programming Practices | The Knowledge Chamber | Channel 9 - 0 views

  • In case you haven’t realized it, the new trend in computer chip technology is multi-core. This is where most of the speed improvements moving forward will come from on our computers. To take full advantage of this however it is necessary to design your applications using Parallel Programming practices, also known as "parallelism". In today’s episode, we will meet with Stephen Toub, who will share with us some of the overarching concepts associated with parallelism, and some of the ways we are trying to empower developers to develop applications to take advantage of it.
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    For anyone who like me, missed this year's PDC almost completely.....
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Simple Interface for Reconfigurable Computing (SIRC) - Microsoft Research - 0 views

  • This API provides users with a standard FPGA communication interface from C++ code. It is intended to encourage more widespread adoption of FPGAs and reconfigurable computing platforms—particularly among Windows application developers
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Doing C-code generation better: from graphical code to embedded target | Industrial Con... - 0 views

  • One challenge designers face is the need to translate their algorithms into code for use in embedded targets. The task has proven to be long and prone to error. This article examines how the use of high-level design tools and C code generation capabilities improves the design flow by exploring different use cases and how to reduce the amount of embedded technology expertise required to program embedded targets.
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