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[Independent Information Technology and business analysis from IT-Director.com] Software: The key to high-performance computing: Before long, a typical compute node will comprise a multicore processor, possibly with heterogeneous cores, coprocessors such as GPGPUs or FPGAs, memory and some communication structure to other such nodes. How will collections of these ...

[Beyond3D Forum] Larrabee for HPC: Not So Fast: Intel doesn't want to cut into its Xeon revenue (one Larrabee could do the work of 10+ Xeons), so it's going to keep Larrabee from making a big dent in HPC. Maybe they'll keep it ready for more general use if AMD or NVidia are able to create a truly compelling HPC product that threatens their Xeon sales, but until then they're going to try impeding the progress of low cost HPC by keeping Larabee graphics-only.

[CADwire.net - EDA industry news] National Instruments LabVIEW Application Named Finalist in ...: “The leading-edge power of the Dell Precision workstation and PowerEdge servers together with the real-time and graphical programming capabilities of NI LabVIEW deliver impressive capabilities to efficiently distribute computing loads across all the nodes in HPC applications,” said Greg Weir, senior manager of Worldwide Business Development for Dell Precision Workstations. “The full memory and graphics potential of our workstations is realized with the key visualization functions of LabVIEW that HPC applications require.”

[National Instruments, Inc.] High-Performance Computing (HPC) in a Real-Time Environment ...: Douglas Eadline, Senior HPC Editor for Linux Magazine, noted that “A high number of clusters have 64 nodes or less, almost no clusters have between 64 and 256 nodes, then above 256 the number increases.” While embedded system designers will not be using 64 or 256 cores anytime soon, nonetheless for real-time acceleration the scalable possibilities that multicore presents will very soon to be comparable to a 16 or 32 node systems addressed by systems that fall in the category or the lower end HPC use-cases. Note that the reason 64 nodes and fewer are commonplace today in HPC systems stems in large part from the fact that creating highly parallel code is not trivial.

[HPCwire: Recent articles featuring high productivity computing] HPCwire: Accelerators in the Data Center -- Green Is In: Lupton: ASICs can provide application acceleration without impacting power, cooling or space requirements. ClearSpeed's Advance e710 and e720 accelerators deliver peak 96 gigaflops of 64-bit, double precision performance, ECC error correction, require no additional space and consume minimal additional power, about 25 watts.

[MulticoreInfo.com] Multicore Papers at SC08: The SC Conference is the premier international conference for high performance computing (HPC), networking, storage and analysis. SC08 was held in Austin, TX (November 15-21) celebrated the 20th anniversary of the first SC Conference, then called Supercomputing, held in Orlando, Florida in 1988.

[HPCwire: Blogs & Commentary on High Performance Computing] HPCwire: Intel: CPUs Will Prevail Over Accelerators in HPC: While these offload engines continue to show impressive performance results for supercomputing workloads, Intel is sticking to its CPU guns to deliver HPC to the broader market. According to Richard Dracott, Intel's general manager of the company's High Performance Computing business unit, CPU multicore processors, and eventually manycore processors, will prevail over accelerator solutions in the financial services industry, as well as for HPC applications in general.

[Next Big Future] Next Big Future: Supercomputer Conference: Possible Exascale ...: We describe the pre-execution I/O prefetching framework, the pre-execution thread construction methodology, the underlying library support, and the prototype implementation in the ROMIO MPI-IO implementation in MPICH2. Preliminary experiments show that the pre-execution approach is promising in reducing I/O access latency and has real potential.

[Tech Talk] Exascale supercomputers: Can't get there from here? (Tech Talk): The objectives given the study were to understand the course of mainstream computing technology, and determine whether or not it would allow a 1,000X increase in the computational capabilities of computing systems by the 2015 time frame. If current technology trends were deemed as not capable of permitting such increases, then the study was also charged with identifying where were the major challenges, and in what areas may additional targeted research lay the groundwork for overcoming them.

[FPGA Blog] Nallatech Commits to Intel QuickPath Interconnect ~ FPGA Blog: The Intel QuickPath interconnect is a high-speed system interconnect for servers and high-end work stations. Nallatech will use the Intel QuickPath interconnect to bring to market the industry’s first FPGA-based socket filler solutions based on this new technology for high performance computing applications.

[Science Blog - Science news straight from the source] Next-generation, high-performance processor unveiled | Science Blog: The current trend in desktop h/w is quite the opposite, that is to embed as many parallel cores as possible inside the PC, including general-purpose programmable GPU (graphics card) h/w. This can ease the burden of compatibility of instruction sets from classic x86 while exploiting the current CPU technologies to the max via massive parallelism.

[Tech Talk] Saudi university builds top-notch supercomputer (Tech Talk): To that end, Shaheen will be Saudi Arabia’s first supercomputer dedicated to academic research, though the need to model oil and gas reserves has pulled in high-performance computing experts for years. “In Saudi, typically someone brings in a machine and the application is always relevant to oil and gas,” says Majid Al-Ghaslan, KAUST’s interim chief information officer, who led the hunt for the supercomputer.

[SimBioSys Blog] SimBioSys Blog » Blog Archive » The fast and the furious: compare ...: As for the GPGPU versus Cell BE angle, this symposium has reinforced my beliefs that the Cell BE is a general purpose accelerator suitable for any task (just like a CPU) while the GPUs from AMD and NVIDIA are highly specialized tools that can get great performance for a very specific subset of the problems. GPUs were designed for graphics, where the computation tasks are massively parallel (millions of 3D points and triangles to process) and completely independent (what needs to appear on each pixel is independent of the others and so is the computation to be performed for different 3D points).

[Research@Intel] Research@Intel · Introducing two “Universal Parallel Computing ...: It should be no surprise that Intel and Microsoft share the common goal of energizing the academic community in what the president of Stanford University, Professor John Hennessey, called the greatest challenge to computer science in 25 years. These two centers are expected to create long term, high-impact breakthroughs in parallel programming languages, tools, and supporting architectural features that will enable entirely new classes of consumer and enterprise applications.

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