First Commercial GPU-Accelerated Fluid Dynamics Solver Dramatically Speeds Simulation of Large Multiphysics ModelsFebruary 12, 2014 4:25 pm | by ANSYS | News | Comments
ANSYS users can now leverage NVIDIA graphics processing units (GPUs) to speed up fluid dynamics simulation and quickly handle large, complex simulation models. Available for the first time with ANSYS Fluent 15.0, the jointly developed GPU-accelerated commercial computational fluid dynamics solver broadens support for NVIDIA GPUs across the ANSYS simulation portfolio, building upon the previous success with GPU support in ANSYS Mechanical.
The HPC Advisory Council and the Swiss Supercomputing Centre will host the HPC Advisory Council...
Silicon Mechanics has announced that it now offers the NVIDIA Tesla K40 GPU accelerator, the...
This month, the Texas Advanced Computer Center (TACC) at The University of Texas at Austin, US,...
Outshining the black holes they surround, the bright, hot centers of galaxies known as active galactic nuclei can spew jets of plasma thousands of light-years long. These streams of plasma create an effect often seen in popular images — galaxies speared through the heart by intense light. Such jets are also associated with stars and other astronomical phenomenon.
Silicon Mechanics has launched its 3rd Annual Research Cluster Grant program, in which the company will donate a complete high-performance computer cluster as part of a highly competitive research grant. The competition is open to all US and Canadian qualified post-secondary institutions, university-affiliated research institutions, non-profit research institutions, and researchers at federal labs with university affiliations.
GE Intelligent Platforms announced that it has received an order from the High Performance Systems Branch (RITB) of the US Air Force Research Laboratory (AFRL) Information Directorate (RI) for a HPEC (High Performance Embedded Computing) system that will enable the development and deployment of advanced neuromorphic architectures and algorithms for adaptive learning, large-scale dynamic data analytics and reasoning.
2U TwinPro and TwinPro2 2U servers are available in 2-node (TwinPro) and 4-node (TwinPro²) configurations optimized for high-end, high-density data center, cloud computing, enterprise, HPC and big data applications.
Mobile technology is where the money is right now in computer technology. Current leadership class supercomputers are “wowing” the HPC world with petaflop/s performance through the combined use of several thousand GPUs or Intel Xeon Phi coprocessors, but in reality the sale of a few thousand of these devices is insignificant when compared against the 1.5 billon cellphone processors and 190 million tablet processors ...
IDC, in close partnership with users and vendors in the technical high-performance computing (HPC) industry, created the HPC User Forum, a unique service that identifies buyer/user requirements and vendor capabilities within this market. This forum promotes the interests of HPC users worldwide in industry/commerce, government, and academia. The HPC User Forum is an extension of IDC's long-standing commitment to the global HPC community.
GPU Technology Conference (GTC) 2014 is the world's biggest GPU developer conference. Taking place in Silicon Valley, GTC offers unmatched opportunities to learn how to harness the latest GPU technology, along with face-to-face interaction with industry luminaries and NVIDIA experts.
If scientists can control cellular functions such as movement and development, they can cripple cells and pathogens that are causing disease in the body. Supported by National Institutes of Health grants, researchers discovered a molecular "switch" in a receptor that controls cell behavior using a supercomputer.
The ArrayFire 2.0 software library features full commercial support for OpenCL devices, including all AMD APUs and AMD FirePro graphics, Intel Xeon Phi coprocessors, CUDA GPUs from NVIDIA, and other OpenCL devices from Imagination, Freescale, ARM, Altera and Apple.
Scientists want to manipulate cell behavior for a lot of reasons. If they can control cell functions, such as movement and development, they can cripple cells and pathogens that are causing disease in the body. Using computational molecular dynamics simulations, researchers have discovered a molecular “switch” in a receptor that controls cell behavior.
Global supercomputer leader Cray announced the Center for Computational Sciences (CCS) at the University of Tsukuba in Japan has put a Cray CS300 cluster supercomputer into production. The new Cray CS300 system has been combined with the University’s current Cray cluster supercomputer, and is providing researchers and scientists with a 1.1 petaflop system for computational science.
Change is a given in the technology world as new products excite interest, generate sales and, ultimately, define profitability. No technology company is “too big to fail,” which means that the current market giants recognize they can easily become a name from the past, like SUN Microsystems and Digital Equipment Corporation, unless they aggressively innovate.
It is easy to cast jealous eyes towards the most powerful supercomputers in the world, e.g. Tianhe-2 with its three million cores of Xeon and Phi processors, or Titan with its 18,000 GPUs, and wish you had the budget to deploy such facilities. However, most HPC service managers and users must return from such whims, plummeting back to the much smaller-scale HPC that is their reality.
JARVICE HPC Cloud Platform is designed for heterogeneous hardware computing environments. The platform enables users and developers to benefit from high performance cloud hardware to create Nimbix Application Environments (NAEs) for high throughput batch processing.
There is no doubt that the Oak Ridge Leadership Computing Facility’s (OLCF’s) Titan, the nation’s most powerful supercomputer, gets its kick from its 18,688 GPU accelerators. On Titan, GPUs operate in tandem with CPUs to simulate groundbreaking scientific research at breakneck speeds. Now, the OLCF is working with Mentor Graphics, a leading electronic design automation company, to bring accelerated computing to a broader audience.
Global supercomputer company Cray announced the Cray CS300 line of cluster supercomputers and the Cray XC30 supercomputers are now available with the NVIDIA Tesla K40 GPU accelerators. Designed to solve the most demanding supercomputing challenges, the NVIDIA Tesla K40 provides 40 percent higher peak performance than its predecessor, the Tesla K20X GPU.
The AMD FirePro S10000 12GB edition graphics card is designed for heterogeneous compute applications built on OpenCL and delivers peak double precision performance for big data high-performance computing workloads.
Veteran technologist, entrepreneur and confessed “geek,” Steve Oberlin has joined NVIDIA to help lead the company’s high-performance computing initiative. As chief technology officer (CTO) for NVIDIA’s Tesla business unit, Oberlin will be responsible for NVIDIA’s Tesla roadmap and architecture.
The Cray Compiler Environment (CCE) is available on the Cray CS300 line of cluster supercomputers and is HPC-optimized for highly parallel environments. It supports OpenACC and is designed to support x86 processors, NVIDIA Tesla GPU accelerators and Intel Xeon Phi coprocessors.
The new NVIDIA Tesla K40 GPU accelerator delivers extreme performance to a widening range of scientific, engineering, high performance computing (HPC) and enterprise applications, providing double the memory and up to 40 percent higher performance than its predecessor.
The U.S. Department of Energy’s Office of Science announced 59 projects, promising to accelerate scientific discovery and innovation, that will share nearly 6 billion core hours on two of America’s fastest supercomputers dedicated to open science. Their work will advance knowledge in critical areas, from sustainable energy technologies to the environmental consequences of energy use.
The Texas Advanced Computer Center (TACC) at The University of Texas at Austin, along with technology partners HP and NVIDIA, announced that they will deploy Maverick in January 2014, a unique, powerful, high performance visualization and data analytics resource for the open science and engineering community.
NVIDIA and IBM announced Monday plans to collaborate on GPU-accelerated versions of IBM’s wide portfolio of enterprise software applications on IBM Power Systems. The move marks the first time that GPU accelerator technology will move beyond the realm of supercomputing and into the heart of enterprise-scale data centers.
The new AMD FirePro S10000 12GB Edition from AMD is a graphics card designed for big data high-performance computing (HPC) workloads for single precision and double precision performance.
The CUDA 6 parallel computing platform and programming model is designed to make programming easier, enabling software developers to dramatically decrease the time and effort required to accelerate scientific, engineering, enterprise and other applications with GPUs.
- Page 1