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Video: Chapel – Productive, Multiresolution Parallel Programming

Brad Chamberlin, Cray

Brad Chamberlain from Cray presented this talk at the recent Argonne Training Program on Extreme-Scale Computing. “We believe Chapel can greatly improve productivity for current and emerging HPC architectures and meet emerging mainstream needs for parallelism and locality.”

Interview: Brent Gorda from Intel on the Keys to Startup Innovation for HPC

Brent Gorda, General Manager, Intel High Performance Data Division

“Successful startups are the ones who have knowledge and a strong focus on a problem to solve. Knowledge comes from experience and there is no better way to accumulate that than working at one of the HPC facilities in the US or abroad. In fact I participated in this directly, moving to the US to work at a DOE lab. These opportunities still exist but the Labs often find it difficult to compete with Facebook and Google. If you are able to attend SC15 in Austin, you absolutely must visit the booths on the show floor and engage with the staff and seek out opportunities that exist. Again, SC is where the industry meets research and amazing things happen: go make it happen for you!”

How to Move HPC Forward in Europe


“With a differentiated strategy, sufficient investment, and political will, Europe has what it takes to be a global player and to achieve this ambitious goal. We believe that, with a common effort by all public and private actors in HPC – including EU member states, industry, academia, and the European Commission – Europe can make it happen.”

NSF Funds Regional Data Hubs

Storm surge visualization of Hurricane Joaquin. Several BD Hubs will focus on natural hazards.

Today the NSF announced major awards totaling more than $5 million to support four regional Data Hubs organized by some of the top universities and Big Data researchers in the country.

Video: NCSA’s Ed Seidel Testifies on the Networking and Information Technology Research and Development Program


In the video, Ed Seidel from NSCA testifies at a House hearing on the Networking and Information Technology Research and Development (NITRD) Program. NITRD provides a framework in which many Federal agencies come together to coordinate their networking and information technology (IT) research and development (R&D) efforts.

Students: Apply for the ORNL Challenge Program


Oak Ridge National Laboratory has opened up submissions for their ORNL Challenge Program. Designed to propel the careers of bright young minds in computational science, the challenge program offers college students 10-week paid internships at Oak Ridge National Lab, DOE’s largest multi-program science and energy laboratory.

Halloween Podcast: Radio Free HPC Shares their Biggest Fears for High Performance Computing


In this special Halloween podcast, the Radio Free HPC team shares their biggest fears for HPC. From cybersecurity to a lack of funding for important research, what’s the worst that could possibly happen?

Agave Platform Provides Science as a Service


Work began recently on the Agave Platform, an open ‘Science-as-a-Service’ (ScaaS) cloud platform for reproducible science. Funded by a $4 Million NSF grant, the Agave Platform will leverage the success of what originated in 2011 as a set of hosted, web-based application programming interfaces (APIs) for plant biologists under the NSF iPlant project.

Video: Debugging and Profiling Your HPC Applications


David Lecomber from Allinea Software presented this talk at the Argonne Training Program on Extreme-Scale Computing. “From climate modeling to astrophysics, from financial modeling to engine design, the power of clusters and supercomputers advances the frontiers of knowledge and delivers results for industry. Writing and deploying software that exploits that computing power is a demanding challenge – it needs to run fast, and run right. That’s where Allinea comes in.”

PGI Accelerator Compilers Add OpenACC Support for x86


“Our goal is to enable HPC developers to easily port applications across all major CPU and accelerator platforms with uniformly high performance using a common source code base,” said Douglas Miles, director of PGI Compilers & Tools at NVIDIA. “This capability will be particularly important in the race towards exascale computing in which there will be a variety of system architectures requiring a more flexible application programming approach.”