Tag: accelerated computing
Intel has broke its silence on its forthcoming Xeon Phi processor which is supposed to hit the shops later this year. They provided the first look inside its Xeon Phi processor in a Hot Chips talk by George Chrysos, chief architect of Knights Corner.
GPU Linear Algebra Libs and GPGPU Programming for Accelerating MOPAC Semiempirical Quantum Chemistry Calculations
We have developed and implemented new features in the MOPAC2009 program in order to allow it to run faster on GPUs and shared-memory CPUs.
We have provided a hybrid massively parallelized molecular dynamic VASP ab initio software for GPUs clusters. To avoid continuously transferring data from CPUs to GPUs, we have ported some functions in CUDA and achieved a balanced combination between CUFFT, CUBLAS, and CUDA.
National Technical University of Ukraine “Kyiv Polytechnic Institute” and V.M. Glushkov Institute of Cybernetics of NAS of Ukraine are pleased to announce the 2nd International Conference on High Performance Computing (HPC-UA 2012) being held in Kyiv, Ukraine
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.
ispc is an R&D compiler for a C-based language that is targeted for exploring the performance available from doing SPMD computation on SIMD units found on CPUs and on Intel Xeon Phi coprocessors (using the Intel Many Integrated Core (MIC) architecture).
With this practical book, experienced C++ developers will learn parallel programming fundamentals with C++ AMP through detailed examples, code snippets, and case studies.
A special report titled Accelerating Computational Science Symposium 2012 details comparison GPU accelerators with today’s fastest central processing units (CPUs), which were presented earlier this year at Accelerating Computational Science Symposium 2012 in Washington, D.C
The greatest minds in the scientific, engineering, research and development communities from over 40 different countries will gather to discuss how GPUs are enabling breakthroughs across a range of scientific and commercial fields.
A special track has been added on the Rapid Development of Accelerators for the Biological Sciences. To design accelerators that have a significant impact on the biosciences, the computer science community must revolutionize the way accelerated applications and their underlying hardware are developed and deployed.