The HPC Advisory Council and the Swiss Supercomputing Centre will host the HPC Advisory Council Switzerland Conference 2015 in the Lugano Convention Centre, Lugano, Switzerland, from March 23 - March 25, 2015. The conference will focus on High-Performance Computing essentials, new developments and emerging technologies, best practices and hands-on training.
The OpenPOWER Foundation, an open development community dedicated to...
The First Annual OpenPOWER Summit will take place at the San Jose Convention Center. It will be...
For decades, neuroscientists have been trying to design computer networks that can mimic visual...
In the latest issue of HPC Source, “A New Dawn: Bringing HPC to the Enterprise,” we look at how small- to-medium-sized manufacturers can realize major benefits from adoption of high performance computing in areas such as modeling, simulation and analysis.
HPC has always embraced the leading edge of technology and, as such, acts as the trailbreaker and scout for enterprise and business customers. HPC has highlighted and matured the abilities of previously risky devices, like GPUs, that enterprise customers now leverage to create competitive advantage. GPUs have moved beyond “devices with potential” to “production devices” that are used for profit generation.
For the US Army, and DoD and intelligence community as a whole, GIS Federal developed an innovative approach to quickly filter, analyze, and visualize big data from hundreds of data providers with a particular emphasis on geospatial data.
Welcome to SCIENTIFIC COMPUTING's "Bringing HPC to Smaller Manufacturers" edition of HPC Source, an interactive publication devoted exclusively to coverage of high performance computing.
NVIDIA is looking for a dozen would-be competitors for next year’s Early Stage Challenge, which takes place as part of its Emerging Companies Summit (ECS). In this seventh annual contest, hot young startups using GPUs vie for a single $100,000 grand prize.
As part of the Cray CS cluster supercomputer series, Cray offers the CS-Storm cluster, an accelerator-optimized system that consists of multiple high-density multi-GPU server nodes, designed for massively parallel computing workloads.
Cray CS-Storm is a high-density accelerator compute system based on the Cray CS300 cluster supercomputer. Featuring up to eight NVIDIA Tesla GPU accelerators and a peak performance of more than 11 teraflops per node, the Cray CS-Storm system is a powerful single-node cluster.
NVIDIA CUDA 6.5 brings GPU-accelerated computing to 64-bit ARM platforms. The toolkit provides programmers with a platform to develop advanced scientific, engineering, mobile and HPC applications on GPU-accelerated ARM and x86 CPU-based systems. Features include support for Microsoft Visual Studio 2013, cuFFT callbacks capability and improved debugging for CUDA FORTRAN applications.
New supercomputing calculations provide the first evidence that particles predicted by the theory of quark-gluon interactions, but never before observed, are being produced in heavy-ion collisions at the Relativistic Heavy Ion Collider. These heavy strange baryons, containing at least one strange quark, still cannot be observed directly, but instead make their presence known by lowering the temperature at which other baryons "freeze out"
Creating a realistic computer simulation of how light suffuses a room is crucial not just for animated movies like Toy Story or Cars, but also in industry. Special computing methods should ensure this, but require great effort. Computer scientists from Saarbrücken have developed a novel approach that vastly simplifies and speeds up the whole calculating process.
Quadro K5200, K4200, K2200, K620 and K420 GPUs deliver an enterprise-grade visual computing platform with up to twice the application performance and data-handling capability of the previous generation. They enable users to interact with graphics applications from a Quadro-based workstation from essentially any device.
The AMD FirePro S9150 server card is based on the AMD Graphics Core Next (GCN) architecture, the first AMD architecture designed specifically with compute workloads in mind. It is the first to support enhanced double precision and to break the 2.0 TFLOPS double precision barrier.
Using Powerful GPU-Based Monte Carlo Simulation Engine to Model Larger Systems, Reduce Data Errors, Improve System PrototypingJuly 22, 2014 8:33 am | by Jeffrey Potoff and Loren Schwiebert | Blogs | Comments
Recently, our research work got a shot in the arm because Wayne State University was the recipient of a complete high-performance compute cluster donated by Silicon Mechanics as part of its 3rd Annual Research Cluster Grant competition. The new HPC cluster gives us some state-of-the-art hardware, which will enhance the development of what we’ve been working on — a novel GPU-Optimized Monte Carlo simulation engine for molecular systems.
How using CPU/GPU parallel computing is the next logical step - My work in computational mathematics is focused on developing new, paradigm-shifting ideas in numerical methods for solving mathematical models in various fields. This includes the Schrödinger equation in quantum mechanics, the elasticity model in mechanical engineering, the Navier-Stokes equation in fluid mechanics, Maxwell’s equations in electromagnetism...
Eurotech has teamed up with AppliedMicro Circuits Corporation and NVIDIA to develop a new, original high performance computing (HPC) system architecture that combines extreme density and best-in-class energy efficiency. The new architecture is based on an innovative highly modular and scalable packaging concept.
NVIDIA has announced that multiple server vendors are leveraging the performance of NVIDIA GPU accelerators to launch the world’s first 64-bit ARM development systems for high performance computing (HPC).
In conjunction with ISC’14, we will hold a one-day HPC Advisory European Conference Workshop on June 22, 2014. This workshop will focus on HPC productivity, and advanced HPC topics and futures, and will bring together system managers, researchers, developers, computational scientists and industry affiliates to discuss recent developments and future advancements in High-Performance Computing. Our keynote session will feature the SKA Project
NVIDIA's CEO Jen Hsun, along with Audi's head of pre-development Andreas Reich demonstrated a prototype Audi self-driving car based on the new NVIDIA K1 System On a Chip (SoC) during the GTC 2014 keynote in San Jose. “Tegra K1 is the brain of your future self-driven car.” Jen Hsun claims.
The NVIDIA GPU Technology Conference 2014 keynote, “Video Games and the Future of Cognitive Enhancement” by Dr. Adam Gazzaley addressed the goal of improving quality of life as people age. Scientists have found that playing video games improves users’ mental speed and agility in real life. Gazzaley also mentioned that the NeuroRacer video game has been submitted for FDA approval.
Silicon Mechanics has announced that Wayne State University (WSU) is the recipient of the company’s 3rd Annual Research Cluster Grant, a program in which the company and its partners are donating a complete high-performance compute cluster. The university, located in midtown Detroit, is one of the nation’s 50 largest public universities
Huynh Phung Huynh's research interests include high performance computing (HPC): compiler optimization for GPU, many cores and other accelerators; Parallel computing: framework for parallel programming or scheduling; and HPC for data mining and machine learning algorithms.
The AMD FirePro W9100 professional graphics card is designed for next-generation 4K workstations accelerated by OpenCL (Open Computing Language). With up to 2.62 TFLOPS double precision of GPU compute power and ultra-high resolution multi-display capabilities, video, design and engineering professionals can utilize 16 GB of ultra-fast GDDR5 memory and multi-task across up to six 4K displays.
NVIDIA plans to integrate a high-speed interconnect, called NVIDIA NVLink, into its future GPUs, enabling GPUs and CPUs to share data five to 12 times faster than they can today. This will eliminate a longstanding bottleneck and help pave the way for a new generation of exascale supercomputers.
Microway NumberSmasher GPU-accelerated platforms are available pre-configured for optimal performance ofCST STUDIO SUITE. These systems are convertible between 4U rackmount and tower configurations supporting NVIDIA Tesla K40, K20X and K20.
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.
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