Sign up for our newsletter and get the latest HPC news and analysis.

Search Results for: gpu

Tesla K80 GPU Sets New Records on STAC-A2 Financial Benchmark

chart

Today STAC, the financial industry benchmarking organization, announced record performance results on the new Tesla K80 Dual-GPU Accelerator.

Video: GPU Acceleration – What’s Next?

buck

GPU-accelerated computing is the use of a graphics processing unit (GPU) together with a CPU to accelerate scientific, analytics, engineering, consumer, and enterprise applications. Pioneered in 2007 by NVIDIA, GPU accelerators now power energy-efficient datacenters in government labs, universities, enterprises, and small-and-medium businesses around the world. GPUs are accelerating applications in platforms ranging from cars, to mobile phones and tablets, to drones and robots.

New STAC Benchmark: Nvidia Tesla K80 GPU

Tesla

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

bright-cluster-manager-standard

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

OriginalJPG

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

amd logo

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

HPCG_Figure5_overhead-624x483

“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

imgres

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

sid

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.