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Overview of the MVAPICH Project: Status and Roadmap

DK Panda

“Dr. Panda and his research group members have been doing extensive research on modern networking technologies including InfiniBand, High-Speed Ethernet and RDMA over Converged Enhanced Ethernet (RoCE). The MVAPICH2 (High Performance MPI over InfiniBand, iWARP and RoCE) and MVAPICH2-X software libraries, developed by his research group, are currently being used by more than 2,150 organizations worldwide (in 72 countries).”

RCE Podcast: ADIOS Adaptable IO System

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In this RCE podcast, Brock Palen and Jeff Squyres speak with Scott Klasky and Norbert Podhorszki about the ADIOS Adaptable IO SYSTEM, an IO library with features to enable better performance and use for HPC.

Enterprise Catches the HPC Tools Bug

logo-allinea

Recent announcements, analyst reports, conferences and anecdotal evidence point to a certain upswing for high performance computing in industry. Many industries have reaped the benefit of HPC for considerable time and are now stepping up a gear with their systems – some even on a par with national facilities, in order to maintain or extend their advantage. Whether in upstream exploration, engine design or aerodynamics – if you can scale up or scale out, you can derive advantage.

Interview: Powering up Vectorization with Intel Parallel Studio XE 2015

james

“The thing that really excites me is looking at OpenMP 4.0. We’ve got virtually a complete set of 4.0 features. OpenMP 4.0 brings together tasking, which it’s had since its start in ’97, with new capabilities for vectorization and for offload. Bringing those together, and being able to do them at the same time, is extraordinarily powerful. I love teaching classes about it and seeing what people can do with it. And now it’s fully supported in our products.”

Announcing the Ceemple Tool for C++ Technical Computing

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Programmers have a new tool for technical computing in Windows. Ceemple is an innovative solution enabling rapid C++ based scientific computing.

Accelerating CFD with PyFr on GPUs

Flow over a spoiler deployed at 90 degrees to the oncoming flow, computed on a mesh with 1.3 billion degrees of freedom using 184 x Nvidia M2090 GPUs (Emerald HPC facility at the Centre for Innovation UK).

Over at TechEnablement, Dr. Peter Vincent writes that PyFR is an open-source 5,000 line Python based framework for solving fluid-flow problems that can exploit many-core computing hardware such as GPUs.

Understanding I/O Patterns at the Block Level with ioprof

Jeff Layton

Over at Admin HPC, Intel’s Jeff Layton writes that understanding how data makes its way from the application to storage devices is key to understanding how I/O works and that monitoring the lowest level of the I/O stack, the block driver, is a crucial part of this overall understanding of I/O patterns.

New Intel Parallel Studio XE 2015 Includes Support for OpenMP 4.0

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Today Intel launched Intel Parallel Studio XE 2015, the latest release of its developer toolkit for HPC and technical computing applications.

Video: How to Create Reducers with OpenMP

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When multiple threads need to work together to perform a combined mathematical operation such as a sum, one way to avoid race conditions is using reducers. In this video from Go Parallel, Jeff Cogswell from Slashdot Media shows you how to accomplish reducers with OpenMP.

Ben Golub on How Docker will Change the Datacenter

Ben Golub, CEO of Docker

“Until Docker came around some people used containers but the use was very much restricted to large organizations, like Google, that had specialized teams and training. But the containers weren’t portable between different environments. With Docker we’ve made containers easy for everybody to use; we’ve made them portable between environments; we made them exceptionally lightweight and we built up a huge ecosystem around that.”