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Cray Adds GPU Powerhouse to CS Supercomputer Lot

Aug 26, 2014 |

The CS family of Cray systems was graced with a new addition today with the arrival of a dense, memory-loaded GPU offering that adds big acceleration to select HPC workloads. The new CS-Storm, which offers up to 8 NVIDIA K40s per 2U server and a peak performance of 11 teraflops per Ivy Bridge-outfitted node, is Read more…

NVIDIA Boasts ‘Compelling HPC Solution’

Aug 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 post, NVIDIA’s Chief Technologist for GPU Computing Software Mark Harris covers the toolkit’s new features and improvements, including “support for CUDA Fortran in developer tools, user-defined callback functions in Read more…

Building Parallel Code with Hybrid Fortran

Jul 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 programmers porting their code to GPGPUs (general purpose graphics processing units) have a new tool at their disposal, called Hybrid Fortran. Müller shows how this open source framework can enhance portability without sacrificing performance and maintainability. From the blog (editor’s note: the site Read more…

BAE Systems Hones HPC Strategy

Jul 16, 2014 |

High-performance computing is vitally important to the mission of BAE Systems, one of the largest defense, aerospace, and security contractors in the world. As a high-tech manufacturer, BAE Systems relies on simulation and modeling software to design and build its products. The group responsible for identifying and developing this technology inside BAE Systems is called Read more…

Programmability Matters

Jun 30, 2014 |

While discussions of HPC architectures have long centered on performance gains, that is not the only measure of success, according to Petteri Laakso of Vector Fabrics. Spurred by ever-proliferating core counts, programmability is taking on new prominence. Vector Fabrics is a Netherlands-based company that specializes in multicore software parallelization tools, so programmability is high on Read more…

Are Supercomputing’s Elite Turning Backs on Accelerators?

Jun 26, 2014 |

Now that this year’s Top500 has been released and analyzed, we wanted to take a step back to look at a few emerging trends. One of the elements of the last couple of lists that caught our eye is that despite the availability of new accelerator/co-processor choices, there is a noticeable leveling off in overall Read more…

Comparing Peak Floating Point Claims

Jun 17, 2014 |

With Moore’s law and associated silicon transistor performance “laws” winding down, there is renewed interest in accelerators, e.g., digital signal processors (DSPs), graphics processing units (GPUs), and field-programmable gate arrays (FPGAs). Measuring the peak floating-point performance of these non-traditional computing architectures is not without challenges, however. A new white paper from Altera’s Michael Parker attempts to shed Read more…

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 examples of heterogenous elements in HPC is the GPU computing ecosystem that has been fostered by NVIDIA and AMD. General-purpose GPU (GPGPU) adoption has become widespread in HPC, and student supercomputing Read more…

What Drives Investment in the Middle of HPC?

May 15, 2014 |

When it comes to covering supercomputers, the most attention falls on the front runners on the Top 500. However, a closer look at the tail-end of the rankings reveals some rather interesting use cases—not to mention courses of development, system design, and user-driven requirements for future build out. The University of Florida is home to Read more…

Numascale Launches Scalable GPU Systems

Apr 7, 2014 |

Based on its innovative interconnect Numascale offers scalable and expandable systems for high performance applications. Adding up standard servers will scale your GPU system within a single image operating system and environment with scalable and shared memory and open for better utilization of the GPUs’ computing power.