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Search Results for: gpu

New STAC Benchmark: Nvidia Tesla K80 GPU

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Today STAC released audited STAC-A2 Benchmark results for a server using the just-announced Nvidia Tesla K80 dual-GPU Accelerator board.

Bright Cluster Manager Wrangles New NVIDIA Tesla K80 GPU

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This week at SC14, Bright Computing announced support for the new NVIDIA Tesla K80 dual-GPU accelerator.

Dell Bumps Up GPU Computing with PowerEdge C4130

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This week Dell unveiled the PowerEdge C4130. As an incredibly GPU dense and flexible HPC-focused rack server, the PowerEdge C4130 is the only Intel Xeon E5-2600v3 1U server to offer up to four GPUs/accelerators.

AMD Firepro GPUs Power GSI Physics Research

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Today AMD announced that the company’s FirePro GPU accelerators are delivering more than 3 petaFLOPS to the GSI GmbH for physics research.

Optimizing the HPCG Benchmark on GPUs

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“Over at the Parallel for All Blog, Everett Phillips and Massimiliano Fatica write that GPUs offer good acceleration on the new HPCG benchmark that has been designed to augment Linpack as a measure of performance for the TOP500. Their GPU porting strategy focused on parallelizing the Symmetric Gauss-Seidel smoother (SYMGS), which accounts for approximately two thirds of the benchmark flops.”

GPUdb: A Distributed Database for Many-Core Devices

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GPUdb is a scalable, distributed database with SQL-style query capability, capable of storing Big Data. Developers using the GPUdb API add data, and query the data with operations like select, group by, and join. GPUdb includes many operations not available in other “cloud database” offerings. GPUdb applies a new (patented) concept in database design that puts emphasis on leveraging the growing trend of many-core devices. By building GPUdb from the ground up around this new concept we are able to provide a system that merges the query needs of the traditional relational database developer with the scalability demands of the modern cloud-centric enterprise.

GPU Startup? Apply for the $100K Early Stage Challenge

Winning our Early Stage Challenge helped GPU-powered startup Map-D bring interactivity to big data in vivid ways.

Nvidia is looking for a dozen would-be competitors for the Early Stage Challenge – where hot young startups using GPUs vie for a single $100,000 on-the-spot prize.

Industrial Achievements on Blue Waters Using CPUs and GPUs

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In this video from the 2014 HPC User Forum in Seattle, Seid Koric from NCSA presents: Industrial achievements on Blue Waters Using CPUs and GPUs.

New IBM Power Systems Accelerated with GPUs for Big Data

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Today IBM introduced a new series of GPU-accelerated systems capable of handling massive amounts of computational data faster and at a nearly 20% better price performance than comparable Intel-based systems – providing clients a superior alternative to closed, commodity-based data center servers. The vastness of Big Data—of the 2.5 quintillion bytes of data generated on […]

Increasing the Throughput of your GPU-enabled Cluster with rCUDA

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“Although the use of GPUs has generalized nowadays, including GPUs in current HPC clusters presents several drawbacks mainly related with increased costs. In this talk we present how the use of remote GPU virtualization may overcome these drawbacks while noticeably increasing the overall cluster throughput. The talk presents real throughput measurements by making use of the rCUDA remote GPU virtualization middleware.”