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HPC and Software Modernization

Dr. Herbert Cornelius, Intel

“As we see Moore’s Law alive and well, more and more parallelism is introduced into all computing platforms and on all levels of integration and programming to achieve higher performance and energy efficiency. We will discuss Multi- and Many-Core solutions for highly parallel workloads with general purpose and energy efficient technologies. We will also touch on the challenges and opportunities for parallel programming models, methodologies and software tools to achieve highly efficient and highly productive parallel applications. At the end we will take a brief look towards Exascale computing.”

insideHPC Guide to Open Computing

HPC Guide to Open Computing - Thumb

The Open Compute Project, initiated by Facebook as a way to increase computing power while lowering associated costs with hyper-scale computing, has gained a significant industry following. This guide to Open Computing is design to help organizations optimize their HPC environment to achieve higher performance at a lower operating cost.

Is Europe Leading the Energy Efficiency Race?

Tom Wilkie, Scientific Computing World

Europe is notorious for its high energy costs. In the first of three articles on energy efficiency in high-performance computing, Tom Wilkie from Scientific Computing World asks if that’s why so much of the initiative appears to be coming from Europe.

Radio Free HPC Wraps up the 2015 GPU Technology Conference

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In this episode, the Radio Free HPC team wraps up the GPU Technology Conference. The theme of the show this year was Deep Learning, a topic that is heating up the market for GPUs with challenges like image recognition and self-driving cars. As a sister conference, the OpenPOWER Summit this week in San Jose showcased the first OpenPower hardware, including a prototype HPC server from IBM that will pave the way to the two IBM/Nvidia/Mellanox Coral supercomputers expected in 2017.

Why HPC is Too Important to be Left to Men

Alison Kennedy, Executive Director
EPCC, University of Edinburgh

“Does it matter if women in HPC are clustered in certain areas of work? I think that it does. It is vital in an industry where multi-skilled, interdisciplinary teams are seen as the model of the future that women are not there just to make up the numbers, but are given every support and encouragement in achieving their full potential in whatever roles in HPC teams they feel themselves most suited.”

Interview: Why Software Defined Infrastructure Makes Sense for HPC

Jay Muelhoefer, IBM

“I came to IBM via the acquisition of Platform Computing. There’s also been other IBM assets around HPC, namely GPFS. What’s been the evolution of those items as well and how they really come together under this concept of software-defined infrastructure, and how we’re now taking these capabilities and expanding them into other initiatives that have sort of bled into the HPC space.”

Video: Satoshi Matsuoka on the Outlook for HPC in 2022

satoshi

In this video, Satoshi Matsuoka discusses the 2022 outlook for supercomputing as he accepts the IEEE Computer Society 2014 Sidney Fernbach Award. He received the award for his work on advanced infrastructural platforms, large-scale supercomputers, and heterogeneous GPU/CPU supercomputers.

Radio Free HPC Looks at Big Data Analytics in the Big Leagues

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In this episode, the Radio Free HPC team takes a look at Big Data Analytics in sports. According to recent reports, at least one team in Major League Baseball is using a Cray Urika system in a bid to gain competitive advantage.

Video: The Future of the Intel Mic Architecture

James Reinders

In this video, Intel’s James Reinders and Vadim Karpusenko from Colfax International discuss the future of parallel programming and Intel MIC architecture products.

Code Modernization – Why it is so Important

Parallel Programing

For about 40 years, developers and users could count on an increase in CPU performance that would make applications run faster. However, with the slowdown in constant clock rate increases being replaced by additional core counts and even more new instructions, rethinking algorithms, their use of the latest APIs, and using the latest compilers has become critical for the next generation of application performance enhancements.