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Numerical computation on massively parallel hypercubes. [Connection machine]

Conference ·
OSTI ID:6831250
We describe numerical computations on the Connection Machine, a massively parallel hypercube architecture with 65,536 single-bit processors and 32 Mbytes of memory. A parallel extension of COMMON LISP, provides access to the processors and network. The rich software environment is further enhanced by a powerful virtual processor capability, which extends the degree of fine-grained parallelism beyond 1,000,000. We briefly describe the hardware and indicate the principal features of the parallel programming environment. We then present implementations of SOR, multigrid and pre-conditioned conjugate gradient algorithms for solving partial differential equations on the Connection Machine. Despite the lack of floating point hardware, computation rates above 100 megaflops have been achieved in PDE solution. Virtual processors prove to be a real advantage, easing the effort of software development while improving system performance significantly. The software development effort is also facilitated by the fact that hypercube communications prove to be fast and essentially independent of distance. 29 refs., 4 figs.
Research Organization:
Los Alamos National Lab., NM (USA)
DOE Contract Number:
AC02-76ER03077; W-7405-ENG-36
OSTI ID:
6831250
Report Number(s):
LA-UR-86-4218; CONF-8609173-9; ON: DE87003740
Country of Publication:
United States
Language:
English

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