GPUs Advance Deep Learning

September 18, 2014

Over the last decade, GPU-acceleration techniques have infiltrated the high-end of supercomputing, but increased adoption of GPUs is occurring in other compute- Read more…

By Tiffany Trader

NVIDIA Boasts ‘Compelling HPC Solution’

August 20, 2014

Today marks the official release of the NVIDIA CUDA Toolkit version 6.5, which had previously been only available in its pre-release form. In a company blog pos Read more…

By Tiffany Trader

Adapting Algorithms to Modern Hybrid Architectures

August 13, 2014

Technology, like other facets of life, commonly experiences cycles of rapid change followed by periods of relative stability. Computing has entered a stage of i Read more…

By Tiffany Trader

Building Parallel Code with Hybrid Fortran

July 31, 2014

Over at the Typhoon Computing blog, Michel Müller addresses a topic that is top of mind to many HPC programmers: porting code to accelerators. Fortran p Read more…

By Tiffany Trader

ASC14 Marks Seventh Win for GPUs

May 29, 2014

The past decade has seen a sharp rise in heterogenous computing, processing or coprocessing using more than one processor type. One of the most prominent examp Read more…

By Tiffany Trader

HPC Boosts Medical Physics

September 5, 2013

When it comes to employing physics in medicine, there are two major fields in terms of their relevance in clinical practice: medical imaging and radiation therapy. An Argentinian research duo addresses how these domains can benefit from high-performance computing techniques... Read more…

By Tiffany Trader

The Modern GPU: A Graphic History

August 21, 2013

What do the Atari 2600 and Tianhe-1A have in common? It may be difficult to imagine, but both systems are examples of the use of cutting-edge graphic processers for their times. This demonstrates the fascinating evolution of the GPU, which today is one of the most critical hardware components of supercomputer architectures. Read more…

By Alex Woodie

Harlan Targets Complexity for GPGPU Programming

July 11, 2013

HPC programmers who are tired of managing low-level details when using OpenCL or CUDA to write general purpose applications for GPUs (GPGPU) may be interested in Harlan, a new declarative programming language designed to mask the complexity and eliminate errors common in GPGPU application development. Read more…

By Alex Woodie

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