Supermicro New Zealand
Heterogeneous Parallel Computing with Compucon HPC Solutions
28 February 2013
Heterogeneous Parallel Computing
performance as time is precious. High
performance computing is applicable to
although it refers more to parallel
processing of a single task than serial
processing of a multitude of applications.
The Supercomputer Tianhe-1A in the National
Supercomputing Centre in China rose to #1
position of the Top 500 supercomputer list
in November 2010 with the help of Tesla
general purpose GPU (graphics processing
unit) cards supplied by Nvidia. Similarly
Titan Supercomputer of Oak Ridge
Laboratory in USA rose to #1 position in
November 2012 with the help of Tesla
Kepler GPU. On both occasions, the
supercomputer used a smaller count of
CPU (central processor units) than other
lower ranking supercomputers. This
observation pointed to the steep rise of
heterogeneous computing with GPU as co-
processors and the steep rise of Tesla GPU
which has a different architecture to x86
Implementation of heterogeneous parallel
computing is extremely simple in concept.
Application programmers identify which
parts of the source code are looped and
allocate them to the GPU for computation
leaving the rest of the source code that is
sequential for CPU processing. Heterogeneous parallel computing has redefined the roles of the CPU to be a serial computation processor and established the roles of the General Purpose GPU for parallel computation.
Whether you wish to leverage the GPGPU using CUDA by NVIDIA or the Xeon Phi (by Intel's Many Integrated Core architecture) using programming tools such as OpenMP, OpenCL or Intel Cilk Plus we are able to supply complete hardware solutions for either of these programming models.
The Compucon HPC SX 1U Server 2075 leverages Supermicro technology by offering a solid Single Socket Xeon platform suitable for up to 2 GPU or MIC (Xeon Phi) cards in a 1U rackmount chassis. Should more cards be required the Compucon Platinum HPC 4U Server supports up to 4 GPU / MIC cards with a Dual Socket Xeon platform in 4U.
Feel free to contact our team for further information or for assistance with your projects or infrastructure planning. For an independent overview of CUDA and Nvidia hardware technology, please see
this paper: http://www.compucon.co.nz/content/view/1508/224/
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