Today CoolIT Systems announced that a partnership of industry leaders have delivered one of the world’s most powerful liquid-cooled supercomputers to the University Nevada Las Vegas (UNLV).
In this video from the NERSC Nobel Lecture Series: Saul Perlmutter from Lawrence Berkeley National Lab presents “Data, Computation and the Fate of the Universe.” Perlmuitter won the 2011 Nobel Prize in Physics. As part of our feature, we’ve included an insideHPC interview with Saul Perlmutter from SC13.
Bill Cellmaster from HP presented this talk in the Adaptive Computing booth at SC13. “HP Insight Cluster Management Utility (HP Insight CMU) is an efficient and robust hyperscale cluster lifecycle management framework and suite of tools for large Linux clusters such as those found in High Performance Computing (HPC) environments.”
Nicholas Dube from HP presented this talk at the Adaptive Computing booth at SC13. “The ESIF data center is designed to achieve an annualized average power usage effectiveness (PUE) rating of 1.06 or better. Going beyond traditional PUE measurements, the NREL HPC Data Center is using warm-water liquid cooling for its high-power computer components, then capturing and reusing that waste heat as the primary heat source in the ESIF offices and laboratory space.”
Ralph H. Castain from Intel presented this talk at the Adaptive Computing booth at SC13. “The solution allows customers to leverage both their HPC and big data investments in a single platform, as opposed to operating them in siloed environments. The convergence between big data and HPC environments will only grow stronger as organizations demand data processing models capable of extracting the results required to make data-driven decisions.”
Over at the Stream Computing Blog, Vincent Hindriksen has posted an overview of the Heterogeneous Systems Architecture (HSA). “HSA changes the way memory is handled by eliminating a hierarchy in processing-units. In a hUMA architecture, the CPU and the GPU (inside the APU) have full access to the entire system memory.”
Mark Harris from Nvidia presents this talk from SC13. “The performance and efficiency of CUDA, combined with a thriving ecosystem of programming languages, libraries, tools, training, and services, have helped make GPU computing a leading HPC technology. Learn how powerful new features in CUDA 6 make GPU computing easier than ever, helping you accelerate more of your application with much less code.”