“High performance computing continues to underwrite the progress of research using computational methods for the analysis and modeling of complex phenomena,” said Vint Cerf and John White, ACM Award Committee co-chairs, in a statement. “This year’s finalists illustrate the key role that high performance computing plays in 21st Century research. The Gordon Bell Award committee has worked diligently to select from many choices, those most deserving of recognition for this year. Like everyone else, we will be eager to learn which of the nominees takes the top prize for 2016.”
Today, the National Science Foundation (NSF) announced a $110 million award to the University of Illinois at Urbana-Champaign and 18 partner institutions to continue and expand activities undertaken through the Extreme Science and Engineering Discovery Environment (XSEDE).
The Fujitsu Journal has posted details on a recent Hot Chips presentation by Toshio Yoshida about the instruction set architecture (ISA) of the Post-K processor. “The Post-K processor employs the ARM ISA, developed by ARM Ltd., with enhancements for supercomputer use. Meanwhile, Fujitsu has been developing the microarchitecture of the processor. In Fujitsu’s presentation, we also explained that our development of mainframe processors and UNIX server SPARC processors will continue into the future. The reason that Fujitsu is able to continuously develop multiple processors is our shared microarchitecture approach to processor development.”
Over at the ARM Community Blog, Nigel Stephens writes that the company has introduced scalable vector extensions (SVE) their A64 instruction set to bolster high performance computing. Fujitsu is developing a new HPC processor conforming to ARMv8-A with SVE for the Post-K computer.
Six application development teams from NERSC gathered at Intel in early August for a marathon “dungeon session” designed to help tweak their codes for the next-generation Intel Xeon Phi Knight’s Landing manycore architecture and NERSC’s new Cori supercomputer. “We try to prepare ahead of time to bring the types of problems that can only be solved with the experts at Intel and Cray present—deep questions about the architecture and how applications use the Xeon Phi processor. It’s all geared toward optimizing the codes to run on the new manycore architecture and on Cori.”
This week Nvidia CEO Jen-Hsun Huang hand-delivered one of the company’s new DGX-1 Machine Learning supercomputers to the OpenAI non-profit in San Francisco. “The DGX-1 is a huge advance,” OpenAI Research Scientist Ilya Sutskever said. “It will allow us to explore problems that were completely unexplored before, and it will allow us to achieve levels of performance that weren’t achievable.”
A new iBook by Dr. Stephen Perrenod looks at 72 Beautiful Galaxies. With a Foreword written by our own Rich Brueckner from insideHPC, the iPad “book” offers an interactive way to explore the universe. “In 72 Beautiful Galaxies we take you on a trip from relatively near to very far away in the universe, with images of 72 galaxies – and beyond that you will also see hundreds of galaxies as they are found in clusters.”
Deep learning solutions are typically a part of a broader high performance analytics function in for profit enterprises, with a requirement to deliver a fusion of business and data requirements. In addition to support large scale deployments, industrial solutions typically require portability, support for a range of development environments, and ease of use.
Peter Ungaro presented this talk at the 2016 Blue Waters Symposium. “Built by Cray, Blue Waters is one of the most powerful supercomputers in the world, and is the fastest supercomputer on a university campus. Scientists and engineers across the country use the computing and data power of Blue Waters to tackle a wide range of challenging problems, from predicting the behavior of complex biological systems to simulating the evolution of the cosmos.”
“I am honored to have been asked to drive NCSA’s continuing mission as a world-class, integrative center for transdisciplinary convergent research, education, and innovation,” said Gropp. “Embracing advanced computing and domain collaborations across the University of Illinois at Urbana-Champaign campus and ensuring scientific communities have access to advanced digital resources will be at the heart of these efforts.”