Today AMD announced that for the third straight year it was awarded research grants for development of critical technologies needed for extreme-scale computing in conjunction with projects associated with the U.S. Department of Energy (DOE) Extreme-Scale Computing Research and Development Program, known as “FastForward 2.”
Today NICE announced plans to demonstrate their upcoming Desktop Cloud Visualization (DCV) 2014 technology at the AWS re:Invent conference as well as SC14.
“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 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.
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 […]