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Neuromorphic Chips: Ultimate Parallel Processors

Neuromorphic Chips: Ultimate Parallel Processors | Complex Insight  - Understanding our world | Scoop.it
Purdue University is working with semiconductor researchers, including Intel research scientist Charles Augustine of its Circuits Research Lab (Hillsboro, Ore), to develop spin-based neuromorphic microchips as the ultimate parallel...
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I first started working on parallel systems with early transputer architectures and hybrid custom analog and digital hardware in autonomous robots and VR systems.  The promise of truly parallel processing with biologcial inspiration has been around a long time - it will be interesting to see wether or not these new spin-based systems will be another potential solution or one that progresses from research and goes through productization to mainstream and over what time scale. Certainly the power and processing benefits could help accellerate this especially with processing demand for camera and sensor based consumer devices. Click on image or title to learn more.

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DOE - Science - ASCR Discovery

DOE - Science - ASCR Discovery | Complex Insight  - Understanding our world | Scoop.it

the world’s third-fastest supercomputer --known as Mira--will complete tests of its new upgraded software and begin running the largest cosmological simulations ever performed at Argonne National Laboratory. One point of interest is the HACC (for Hardware/Hybrid Accelerated Cosmology Code) the underpinning code base is modular and reconfigurable for different compute architectures including hybrid CPU and GPU architectures. Links for further information in the article sidebar. Click on the image or the title to learn more.

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Inside the Titan Supercomputer: 299K AMD x86 Cores and 18.6K NVIDIA GPUs

Inside the Titan Supercomputer: 299K AMD x86 Cores and 18.6K NVIDIA GPUs | Complex Insight  - Understanding our world | Scoop.it

Titan is the latest supercomputer to be deployed at Oak Ridge National Laboratory (ORNL), although it's technically a significant upgrade rather than a brand new installation. Jaguar, the supercomputer being upgraded, featured 18,688 compute nodes - each with a 12-core AMD Opteron CPU. Titan takes the Jaguar base, maintaining the same number of compute nodes, but moves to 16-core Opteron CPUs paired with an NVIDIA Kepler K20 GPU per node. The result is 18,688 CPUs and 18,688 GPUs, all networked together to make a supercomputer that should be capable of landing at or near the top of the TOP500 list. Click on the image or the title to learn more

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Intel teaches Xeon Phi x86 coprocessor snappy new tricks

Intel teaches Xeon Phi x86 coprocessor snappy new tricks | Complex Insight  - Understanding our world | Scoop.it

Having been tangentally* impacted by the Intel Larrabee project - which was to create a GPU based on the standard Intel architecture - it has been interesting following how intel is responding to the GPU adoption in the technical/ parallel computing market. It took fifteen years for Intel to shrink the computing power of the teraflops-busting ASCI Red massively parallel Pentium II supercomputer down to something that fits inside of a PCI-Express coprocessor card – and the Xeon Phi coprocessor is only the first step in a long journey with coprocessor sidekicks riding posse with CPUs in pursuit of exascale computing. With over 50 Pentium cores on the card - this promises to significantly impact the capabilities of desktop computing, server and cloud compute power. Between Nvidia's Kepler GPU and Intel's Xeon phi - its going to be an interesting 12 months- especially give that our new simulation tools are designed for this type of environment. To read the rest of the Register article click on the image or the title to learn more. ** ( re: tangental: they considered buying some software I was involved in bringing to market and when they didn't the team created a start up to commercialize it instead.)

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Intel's 50-Core Xeon Phi: The New Era of Inexpensive Supercomputing

Intel's 50-Core Xeon Phi: The New Era of Inexpensive Supercomputing | Complex Insight  - Understanding our world | Scoop.it

The advent of Intel's massively parallel coprocessor will make every server a supercomputer. This week, Intel unveiled its new Xeon Phi coprocessor, which puts an astonishing 50 x86 cores onto a single PCI-connected card. The term "coprocessor" should be understood in context. Every one of the Phi's cores can boot Linux and run any x86 software. However, the card itself needs to plug into a system that has an independent CPU, which basically oversees the Phi's operations. Hence, the coprocessor appellation. The first model to be released in Q1 of next year will have 50 cores, and the follow-up coprocessor slated for release in mid-2013 will have 60 cores. Each processor supports four threads, making for 200 threads for the initial Phi. The cores run at 1.05 GHz and sport a 512-KB L2 cache each. They collectively share 8 GB of GDDR5 memory. They will liely compete with GPU based solutions from NVIDIA and AMD - but with a more familiar programmign model. Things just got very interesting in the high performance compute world. Click on the image or the title to learn more.

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Intel Wants to Put a Supercomputer in Your Pocket

Intel Wants to Put a Supercomputer in Your Pocket | Complex Insight  - Understanding our world | Scoop.it

Wired has an interesting article on mobile computing. As ARM seeks to put cell phone chips into our supercomputers, Intel is doing the reverse. The lines between the mobile hardware and data center hardware are blurring. Intel’s experimental Single-chip Cloud Computer project, or SCC is a 48 core chip acts as a “network” of processors on a single chip, with two cores per node. The nodes actually communicate to each other much the same way nodes in a cluster in a data center would.  While these types of architectures are today used in big data applications that run on a server cloud environment there are actually many cases where a hybrid model would make the most sense including artificial intelligence, machine vision and augmented reality applications.  Click on the image or the title to learn more.

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DNA folded into shapes offers alternative gene delivery vehicle

DNA folded into shapes offers alternative gene delivery vehicle | Complex Insight  - Understanding our world | Scoop.it

Researchers from Johns Hopkins and Northwestern universities have discovered how to control the shape of nanoparticles that move DNA through the body and have shown that the shapes of these carriers may make a big difference in how well they work in treating cancer and other diseases.  The use of computer models allowed Luijten’s team to mimic traditional lab experiments at a far faster pace. These molecular dynamic simulations were performed on Quest, Northwestern’s high-performance computing system. The computations were so complex that some of them required 96 computer processors working simultaneously for one month.  “Our computer simulations and theoretical model have provided a mechanistic understanding, identifying what is responsible for this shape change,” Associate Professor Eric Luijten said. “We now can predict precisely how to choose the nanoparticle components if one wants to obtain a certain shape.”. Click on the image or the title to learn more.

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Nvidia Bioinformatics Analyzes Plants, E. coli, and Giant Pandas | Dr Dobb's

Nvidia Bioinformatics Analyzes Plants, E. coli, and Giant Pandas | Dr Dobb's | Complex Insight  - Understanding our world | Scoop.it

Sppeding up BioInformatics  apps with Cloud-based GPU-driven service for analyzing and integrating biological and genetic information...

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