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New Math Libraries Speed 64-bit ARM-based HPC Systems

Today ARM announced new math libraries that are precision-tuned for 64-bit ARMv8-A processors. Designed for ARM-based HPC servers, ARM Performance Libraries are foundational math routines designed to enable the maximum performance of computational software. ARM math libraries take advantage of each silicon partner’s specific microarchitecture innovations and features within their SoCs based on the ARMv8-A architecture to ensure peak system performance. The HPC community will have an opportunity to see the first public demonstrations of ARM Performance Libraries at the upcoming SC15 conference.

NICE to Demo Technical Computing Apps in the Cloud at SC15

Today Italy’s NICE Software announced plans to demonstrate their latest remote visualization technologies at SC15 in Austin. Enhanced products include new release of NICE Desktop Cloud Visualization (DCV), improvements for ParaView users developed in collaboration with Kitware on NVIDIA GPUs, and the latest release of SGI VizServer powered by NICE software.

Allinea to Extend Performance Tools at SC15

Allinea Software will demonstrate significant extensions to their Forge integrated development tool suite and Performance Reports analytics tool at SC15. “Version 6.0 of both products delivers for developers, users, analysts and system administrators – not only on Intel Xeon and Xeon Phi platforms, but also ARM 64-bit and OpenPOWER platforms.”

Google Open Sources TensorFlow for Machine Learning

In a surprise move, Google has open-sourced TensorFlow artificial intelligence software. The powerful machine learning engine is one of Google’s successful experiments and helps the search giant in automated search and analysis.

X-ISS to Bring ManagedHPC to Europe

Today eXcellence in IS Solutions (X-ISS) announced plans for European expansion. With details to be unveiled at the SC15, X-ISS will expand its signature ManagedHPC service into the European market.

Video: Chapel – Productive, Multiresolution Parallel Programming

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.”

RCE Podcast: Spack Package Management Tool

“Spack is designed to support multiple versions and configurations of software on a wide variety of platforms and environments. It was designed for large supercomputing centers, where many users and application teams share common installations of software on clusters with exotic architectures, using libraries that do not have a standard ABI. Spack is non-destructive: installing a new version does not break existing installations, so many configurations can coexist on the same system.”

Paving the Road to Exascale with Co-Design Architecture

In this special guest feature from the Print’n Fly Guide to SC15 in Austin, Scot Schultz from Mellanox writes that a new era of Co-Design will pave the way to Exascale. “Exascale computing will undoubtedly include three primary concepts: heterogeneous systems, direct communication through a more sophisticated intelligent network, and backward/forward compatibility. Co-Design includes these concepts in order to create an evolutionary architectural approach that will enable Exascale-class systems.”

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.”