Thu . 18 Nov 2018

Massively parallel (computing)

In computing, massively parallel refers to the use of a large number of processors or separate computers to perform a set of coordinated computations in parallel simultaneously

In one approach, eg, in grid computing the processing power of a large number of computers in distributed, diverse administrative domains, is opportunistically used whenever a computer is available1 An example is BOINC, a volunteer-based, opportunistic grid system, whereby the grid provides power only on a best effort basis2

In another approach, a large number of processors are used in close proximity to each other, eg, in a computer cluster In such a centralized system the speed and flexibility of the interconnect becomes very important, and modern supercomputers have used various approaches ranging from enhanced Infiniband systems to three-dimensional torus interconnects3

The term also applies to massively parallel processor arrays MPPAs, a type of integrated circuit with an array of hundreds or thousands of central processing units CPUs and random-access memory RAM banks These processors pass work to one another through a reconfigurable interconnect of channels By harnessing a large number of processors working in parallel, an MPPA chip can accomplish more demanding tasks than conventional chipscitation needed MPPAs are based on a software parallel programming model for developing high-performance embedded system applications

Goodyear MPP was an early implementation of a massively parallel computer architecture MPP architectures are the second most common supercomputer implementations after clusters, as of November 20134 Examples of services and products which has a MPP implementation include Microsoft's Azure SQL Data Warehouse and Microsoft’s on premise data warehousing product, Parallel Data Warehouse PDW, which runs on the Analytics Platform System APS

See alsoedit

  • Multiprocessing
  • Parallel computing
  • Process oriented programming
  • Shared nothing architecture SN
  • Symmetric multiprocessing SMP
  • Connection Machine
  • Cellular automaton
  • CUDA framework
  • Manycore processor
  • Vector processor


  1. ^ Grid computing: experiment management, tool integration, and scientific workflows by Radu Prodan, Thomas Fahringer 2007 ISBN 3-540-69261-4 pages 1–4
  2. ^ Parallel and Distributed Computational Intelligence by Francisco Fernández de Vega 2010 ISBN 3-642-10674-9 pages 65–68
  3. ^ Knight, Will: "IBM creates world's most powerful computer", NewScientistcom news service, June 2007
  4. ^ http://stop500org/static/lists/2013/11/TOP500_201311_Posterpng

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