Numerical Computations with GPUs, to be published by Springer, will contain a collection of articles on core numerical methods adapted for Graphics Processing Units (GPUs). Classical numerical methods (solution of linear equations, FFT, etc.) are at the core of many scientific and engineering computations. In recent years substantial efforts were undertaken to adapt these methods for recently emerged GPU-based systems. The book is envisioned as a consolidation of such work into a single volume covering widely used methods and techniques. Each chapter will provide mathematical background, parallel algorithm, and implementation details leading to reusable, adaptable, and scalable code fragments. Each chapter will be accompanied with a basic CUDA or OpenCL source code that can be used by the readers as a starting point for adaptation in their applications. The book will serve as a GPU implementation manual for many numerical algorithms providing valuable insights into parallelization strategies for GPUs as well as ready-to-use code fragments with a broad appeal to both developers and researchers interested in GPU computing.
Authors interested in contributing to this volume are asked to submit a short proposal via EasyChair (https://www.easychair.org/conferences/?conf=ncgpu14) by October 15, 2013. Authors of the accepted/invited chapters are expected to write and submit to the editor completed chapters by January 31, 2014. For more details see full solicitation (http://www.ncsa.illinois.edu/~kindr/editorial/ncgpu/solicitation.pdf) or contact the Editor at email@example.com.
OpenCL CodeBench is a code creation and productivity tools suite designed to accelerate and simplify OpenCL software development. OpenCL CodeBench provides developers with automation tools for host code and unit test bench generation. Kernel code development on OpenCL is accelerated and enhanced through a language aware editor delivering advanced incremental code analysis features. Software Programmers new to OpenCL can choose to be guided through an Eclipse wizard, while the power users can leverage the command line interface with XML-based configuration files. OpenCL CodeBench Beta is now available for Linux and Windows operating systems.
PORTLAND, Ore., March 5 — The Portland Group, a wholly-owned subsidiary of STMicroelectronics, today announced availability of the 2012 release of the PGI line of high-performance parallelizing compilers and development tools for Linux, OS X and Windows. PGI 2012 is the first general release to include support for the OpenACC directive-based programming model for NVIDIA CUDA-enabled Graphics Processing Units (GPUs). This release is also the first to include the fully feature-enabled PGI CUDA C/C++ compiler for multi-core x64 CPUs from Intel and AMD. In addition, PGI 2012 includes a number of performance and feature enhancements for multi-core x64 processor-based HPC systems.
From a recent press release:
Taipei, November 18, 2011: Zillians, a leading cloud solution provider specializing in high performance computing, GPU virtualization middleware and massive multi-player online game (MMOG) platforms today announced the availability of vGPU – the world’s first commercial virtualization solution for decoupling GPU hardware from software. Traditionally, physical GPUs must reside on the same machine running GPU code. This severely hampers GPU cloud deployment due to the difficulty of dynamic GPU provisioning. With vGPU technology, bulky hardware is no longer a limiting factor. vGPU introduces a thin, transparent RPC layer between local application and remote GPU, enabling existing GPU software to run without any modification on a remote GPU resource. Read the rest of this entry »
The latest release of Symscape’s Caedium (v3.0) now has support for CFD simulations using NVIDIA CUDA GPU devices on Windows and Linux. Caedium is an integrated simulation environment that targets Computational Fluid Dynamics (CFD). The GPU support is provided by Symscape’s ofgpu linear solver library for OpenFOAM®. For more details see:
Today NVIDIA announced the upcoming 4.0 release of CUDA. While most of the major CUDA releases accompanied a new GPU architecture, 4.0 is a software-only release, but that doesn’t mean there aren’t a lot of new features. With this release, NVIDIA is aiming to lower the barrier to entry to parallel programming on GPUs, with new features including easier multi-GPU programming, a unified virtual memory address space, the powerful Thrust C++ template library, and automatic performance analysis in the Visual Profiler tool. Full details follow in the quoted press release below.
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Press release (submitted to gpgpu.org very late…):
LOS ANGELES,CA – July 26, 2010 – PEER 1 Hosting (TSX:PIX), a global online IT hosting provider, today announced the availability of the industry’s first large-scale, hosted graphics processing unit (GPU) Cloud at the 37th Annual Siggraph International Conference.
The system runs the RealityServer® 3D web application service platform, developed by mental images, a wholly owned subsidiary of NVIDIA. The RealityServer platform is a powerful combination of NVIDIA Tesla GPUs and 3D web services software. It delivers interactive and photorealistic applications over the web using the iray® renderer, which enables animators, product designers, architects and consumers to easily visualize 3D scenes with remarkable realism. Read the rest of this entry »
From a press release:
Nexiwave.com, the speech indexing company, announced a partnership with UbiCast, a leading webcast equipment and hosting provider. Through the partnership, UbiCast will become the first company to offer deep audio search as a standard, cost-effective feature to customers.
Florent Thiery, CTO of UbiCast, said: “UbiCast customers produce large amounts of high-value content, but finding and retrieving archived information has been a challenge. Until now, rich spoken content has not been searchable on a broad scale because it was simply too expensive to process. The new Nexiwave.com technology, which is accelerated by GPUs, is making ubiquitous processing cost-justifiable for the first time ever.” Read the rest of this entry »
The latest Top 500 list of the world’s fastest supercomputers, released November 15th, demonstrates that GPUs are being adopted on a large scale in the HPC space. Three out of the top 5 machines (#1 and #3 in China, and #4 in Japan) feature NVIDIA Tesla GPUs. Also, the list confirms the expected result that the new GPU-based Tianhe-1a machine from China has ousted Jaguar from the top spot.
More details at top500.org.
From a press release:
AUSTIN, Texas, — Financial institutions are turning to graphics processing unit (GPU) computing for real economic and performance benefits. Fast and accurate derivatives pricing model development and accelerated execution speeds are crucial for today’s derivatives marketplace. SciComp Inc. has enhanced SciFinance®, its flagship derivatives pricing software, to help quantitative developers further shorten Monte Carlo derivatives pricing model development time and create models with faster execution speeds. SciFinance® now features support for NVIDIA® Tesla™ 20-series GPUs and CUDA™ 3.0.
“The mathematical problems of pricing derivatives are tailor-made for GPU computing, and Monte Carlo simulations enjoy some of the fastest speed-ups on GPUs: from 50 to over 300 times faster compared to serial code,” said Curt Randall, executive vice president of SciComp. “This execution speed increase makes it feasible to replace grid solutions (CPUs and interconnects) with a GPU system. GPU costs are a tiny percentage of the cost of a grid solution and offer radical reductions in both footprint and power consumption.”
SciFinance takes advantage of new GPU hardware and software from NVIDIA Read the rest of this entry »