GTC2013

Tag: press release

Pioneering Genomics Researcher to Give Keynote Addresses at GPU Technology Conference

Pioneering Genomics Researcher to Give Keynote Addresses at GPU Technology Conference

| 21 February, 2013 | 0 Comments

NVIDIA today announced its lineup of world-class keynote speakers for the fourth-annual GPU Technology Conference (GTC), which will be held at the McEnery Convention Center in San Jose, Calif., March 18-21. NVIDIA CEO and co-founder Jen-Hsun Huang will discuss the profound and growing impact of GPU technology in gaming, science, industry, media and entertainment, design and other field

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Colfax Developer Training: Parallel Programming for Intel Xeon Phi Coprocessors

Colfax Developer Training: Parallel Programming for Intel Xeon Phi Coprocessors

| 18 December, 2012 | 0 Comments

Colfax Developer Training (CDT) will discuss the applicability of the Intel many-core technology, demonstrate the programming models for Intel Xeon Phi coprocessor including native execution and offload-based approaches, and provide extensive optimization techniques.

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Keeneland Project Deploys Full Scale GPU Supercomputing System

Keeneland Project Deploys Full Scale GPU Supercomputing System

| 16 November, 2012 | 0 Comments

The Keeneland Full Scale System is a 615 TFLOPS HP Proliant SL250-based supercomputer with 264 nodes, where each node contains two Intel Sandy Bridge processors, three NVIDIA M2090 GPU accelerators, 32 GB of host memory, and a Mellanox InfiniBand FDR interconnection network.

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Oak Ridge National Laboratory debuts fastest supercomputer Cray XK7 system Titan

Oak Ridge National Laboratory debuts fastest supercomputer Cray XK7 system Titan

| 29 October, 2012 | 1 Comment

The U.S. Department of Energy’s (DOE) Oak Ridge National Laboratory launched a new era of scientific supercomputing today with Titan, a system capable of churning through more than 20,000 trillion calculations each second-or 20 petaflop

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NVIDIA Delivers Kepler in the Cloud

NVIDIA Delivers Kepler in the Cloud

| 17 October, 2012 | 0 Comments

Engineers and design professionals will be able to work anywhere on virtually any device and still have access to the computing and graphics performance of a GPU-powered workstation, with today’s launch of the cloud-based NVIDIA VGX K2 GPU.

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Call for Submissions for 2013 GPU Technology Conference

Call for Submissions for 2013 GPU Technology Conference

| 11 September, 2012 | 0 Comments

GTC 2013 to Celebrate GPU-enabled Breakthroughs in Cloud Infrastructure and Services, Computational Science, Computer Graphics, Mobile Computing, and Game Development

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PGCL: PGI OpenCL Compiler for ARM

PGCL: PGI OpenCL Compiler for ARM

| 28 August, 2012 | 0 Comments

PGCL is an OpenCL framework for compiling and running OpenCL 1.1 embedded profile applications on the ST-Ericsson NovaThor U8500 and follow-on platforms using a single ARM core as the OpenCL host and multiple ARM cores as an OpenCL computing device.

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CUDA 5 Release Candidate is Now Available

CUDA 5 Release Candidate is Now Available

| 16 August, 2012 | 0 Comments

NVIDIA today announced availability of the NVIDIA CUDA 5 release candidate, the latest version of the industry’s leading parallel computing platform and programming model.

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GPU Acceleration of Top Genomics Application DNADist with OpenACC

GPU Acceleration of Top Genomics Application DNADist with OpenACC

| 6 August, 2012 | 0 Comments

NVIDIA today announced that the OpenACC programming standard has enabled Chinese researchers to dramatically accelerate the DNADist genomics application, which is used in the early stages of development of treatments for genetic conditions, such as Down syndrome, hemophilia, cystic fibrosis, and sickle-cell disease.

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HMPP directive-based compiler adds support for AMD GPUs

HMPP directive-based compiler adds support for AMD GPUs

| 6 June, 2012 | 0 Comments

CAPS entreprise today announced that its HMPP directive-based compiler has added support for AMD’s GPU technology. Based on OpenACC and OpenHMPP directive-based programming model, HMPP compiler fully integrates data-parallel backend for OpenCL and will leverage the computing power of AMD GPU and APU devices.

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