Abstract

The Connection Machine is a massively parallel architecture with 65 536 single-bit processors and 32 Mbytes of memory, organized as a high-dimensional hypercube. A sophisticated router system provides efficient communication between remote processors. A rich software environment, including a parallel extension of COMMON LISP, provides access to the processors and network. Virtual processor capability extends the degree of fine-grained parallelism beyond 1 000 000. We describe the hardware and the parallel programming environment. We then present implementations of SOR, Multigrid and Conjugate Gradient algorithms for solving Partial Differential Equations on the Connection Machine. Measurements of computational efficiency are provided as well as an analysis of opportunities for achieving better performance. Despite the lack of floating-point hardware, computation rates above 100 Mflops 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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.