Xref: utzoo comp.sys.super:370 comp.arch:23105 Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!batcomputer!cornell!rochester!pt.cs.cmu.edu!gandalf.cs.cmu.edu!lindsay From: lindsay@gandalf.cs.cmu.edu (Donald Lindsay) Newsgroups: comp.sys.super,comp.arch Subject: Re: Massively Parallel LINPACK on the Intel Touchstone Delta machine Message-ID: <13301@pt.cs.cmu.edu> Date: 6 Jun 91 04:22:37 GMT References: <1991Jun3.130104.15667@hubcap.clemson.edu> <1991Jun3.233741.8570@elroy.jpl.nasa.gov> Organization: Carnegie Mellon Lines: 27 In article <1991Jun3.233741.8570@elroy.jpl.nasa.gov> stevo@elroy.jpl.nasa.gov (Steve Groom) writes: >Can someone explain how "massively parallel LINPACK" is different from >regular LINPACK? Dongarra's latest Linpack report states that a fixed-size problem is inappropriate for a scalable ensemble machine. So, instead, the matrix size is allowed to vary. The solution method is considered irrelevant: FLOPS is defined as (2/3 N^3 + 2 N^2) / elapsed-time. The Linpack reports wants the following numbers: - Accuracy residual. - GFLOPS and N for the largest problem run. - N-HALF, the problem size that achieved half the GFLOPS. - Theoretical peak GFLOPS. - Number of processors. In the following, it's interesting to see the ratio of N^2 to N-HALF^2: N N-HALF ratio ------ ------ ----- 26,624 11,000 6 CM-2 64 K PE (or, 2 K FPU) 21,376 3,193 45 nCUBE 2 1 K PE 5,504 1,180 22 MasPar 16 K PE 14,000 5,500? 6 Touchstone, 512 PE, as just reported -- Don D.C.Lindsay Carnegie Mellon Robotics Institute