In this episode of This Week in HPC, Michael Feldman from Intersect360 Research and Rich Brueckner from insideHPC discuss Intel’s new Xeon E7 V2 processors designed for in-memory analytics. Following that, they take a look a the secret sauce behind Lucera’s new cloud for High Frequency Trading.
Frank Ham from Cascade Technologies presented this talk at the 2014 HPCAC Stanford HPC & Exascale Conference. “On an annual basis, the US government awards 10′s of billions of HPC core-hours to projects seeking to answer questions in science and engineering through large-scale simulations. In this talk, I will share several examples of insights into flow physics phenomena achieved through these programs.”
In this slidecast, Doug Miles from Nvidia describes the new features and performance gains in the PGI 2014 release. “The use of accelerators in high performance computing is now mainstream,” said Douglas Miles, director of PGI Software at Nvidia. “With PGI 2014, we are taking another big step toward our goal of providing platform-independent, multi-core and accelerator programming tools that deliver outstanding performance on multiple platforms without the need for extensive, device-specific tuning.”
Steve Fields presented this talk at the Stanford HPC Conference. “Led by IBM, the OpenPOWER Foundation was created to push Power-based chip designs into hardware products such as servers. The founding members of the OpenPOWER Consortium represent the next generation in data-center innovation. Combining our talents and assets around the POWER architecture can greatly increase the rate of innovation throughout the industry.”
“At some point, I learned about electronic models of brain cells and realized that it must be possible to build physical copies of these models in VLSI electronics. We started with small student projects and now the research has reached a very exciting scale. I decided to give up my particle physics research and dedicate my research to these new, brain-inspired computers. I strongly believe that there is large potential in this work for both fundamental research and applications.”