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Preparing Developers for Tomorrow’s Systems

In this special guest feature, Bill Mannel from Hewlett Packard Enterprise writes that upcoming Intel HPC Developer Conference in Salt Lake City is a great opportunity to learn about code modernization for the next generation of high performance computing applications. “As computing systems grow increasingly complex and new architecture designs become mainstream, training developers to write code which runs on future HPC systems will require a collaborative environment and the expertise of the best and brightest in the industry.”

OpenACC Gains Momentum in 2016

The OpenACC standards group today announced several major milestones including the addition of new member, the National Supercomputing Center in Wuxi, the adoption of OpenACC by several major HPC applications, the addition of support for new target platforms and expanded implementation

Bright OpenStack Powers HPC at Stony Brook University

“OpenStack promises to be a standard platform for creating a private cloud but it can be very difficult to configure,” said Dan Kuczkowski, Senior Vice President of Worldwide Sales at Bright Computing. “We are very pleased that Stony Brook, a longtime Bright customer, trusted in the Bright platform for HPC cluster management and decided to adopt Bright OpenStack as their private cloud standard.”

Will Deep Learning Scale to Supercomputers?

Are supercomputers practical for Deep Learning applications? Over at the Allinea Blog, Mark O’Connor writes that a recent experiment with machine learning optimization on the Archer supercomputer shows that relatively simple models run at sufficiently large scale can readily outperform more complex but less scalable models. “In the open science world, anyone running a HPC cluster can expect to see a surge in the number of people wanting to run deep learning workloads over the coming months.”

Microsoft Cognitive Toolkit Updates for Deep Learning Advances

Today Microsoft released an updated version of Microsoft Cognitive Toolkit, a system for deep learning that is used to speed advances in areas such as speech and image recognition and search relevance on CPUs and Nvidia GPUs. “We’ve taken it from a research tool to something that works in a production setting,” said Frank Seide, a principal researcher at Microsoft Artificial Intelligence and Research and a key architect of Microsoft Cognitive Toolkit.

Allinea to Offer New Software Performance Briefings at SC16

Today Allinea Software announced that the compay will hold series of New Software Performance Briefings at SC16. The briefings will be held at the Allinea booth #1508 in Salt Lake City. This year at SC, we’re giving booth visitors the opportunity to find out more about what they don’t know about their software performance,” said […]

Parallware Selected for SC16 Emerging Technologies Showcase

Today European software startup Appentra announced that its Parallware technology for guided parallelization has been selected to be part of the SC16 Emerging Technologies Showcase. “As a technology with the potential to influence computing and society as a whole, Parallware is novel LLVM-Based Software Technology for Classification of Scientific Codes to Assist in Parallelization with OpenMP and OpenACC.”

Latest NAG Numerical Library Adds Optimization Modeling Suite

Today the Numerical Algorithms Group announces the latest version of its flagship software, the NAG Library, Mark 26. In this release, NAG has introduced an Optimization Modeling Suite for linear and nonlinear semidefinite programming and general nonlinear programming. It also features new routines in the important computational areas of Nearest Correlation Matrix and Quadrature.

TotalView: Debugging from Desktop to Supercomputer

Peter Thompson from Rogue Wave Software presented this talk at the Argonne Training Program on Extreme-Scale Computing. “Purpose-built for applications using hundreds or thousands of cores, TotalView for HPC provides a set of tools that give scientific and academic developers unprecedented control over processes and thread execution, along with deep visibility into program states and data. By allowing the simultaneous debugging of many processes and threads in a single window, you get complete control over program execution: running, stepping, and halting line-by-line through code within a single thread or within arbitrary groups of processes or threads.”

The High Performance Virtual Computer for Graphics-Intensive Applications

Many industries deploy graphics-intensive applications on single user workstations with individual GPU resources. For those who have switched to a virtualization based environment, many of the legacy desktop virtualization platforms can’t support high end GPUs or multiple GPU configurations. Together with partners like Cisco and One Stop Systems, a London-based tech start-up ebb3 has created the High Performance Virtual Computer (HPVC) to tackle this issue with the aim of creating the fastest performing solution in the world.