In this podcast, the Radio Free HPC team previews the StartupHPC Meetup at SC14. “Does your Startup have ties to High Performance Computing? SC14 will be in New Orleans this year, and we are holding our first meetup on Nov 17th in New Orleans. Please come, meet like minded people, listen to industry notables, and kick off StartupHPC as a support community.”
“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.”
In this special guest feature, Cydney Ewald Stevens writes that the StartupHPC Meetup at SC14 has an incredible lineup of speakers. At roughly six weeks out from SC14 and our first StartupHPC Meetup, if you aren’t registered yet, you should register now! It’s going to sell out and if you’re not there you’re going to […]
“New data sources are catalyzing new applications and services, changing the way that citizens can interact with the built environment, city government, and one another. Charlie Catlett is a Senior Computer Scientist at Argonne National Laboratory and a Senior Fellow at the Computation Institute, a joint initiative of Argonne and the University of Chicago. Within the Computation Institute, he is Director of the Urban Center for Computation and Data. Charlie will talk about how he and his colleagues are using high-performance computing, data analytics, and embedded systems to better understand and design cities.”
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.