Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!sdd.hp.com!wuarchive!uwm.edu!linac!att!emory!hubcap!vlo From: vlo@xydeco.siemens.com (John Vlontzos) Newsgroups: comp.parallel Subject: Re: iWARP and neural nets Summary: warp processor for neural networks Keywords: iwarp, backpropagation Message-ID: <13071@hubcap.clemson.edu> Date: 12 Feb 91 17:44:57 GMT References: <12929@hubcap.clemson.edu> <12936@hubcap.clemson.edu> Sender: fpst@hubcap.clemson.edu Organization: Woods Hole Oceanographic Institution Lines: 10 Approved: parallel@hubcap.clemson.edu Backpropagation at least was very efficiently implemented on the original Warp. I think they achieved 80% of peak performance with this algorithm: Pomerleau, D.A. et al,Neural Network Simulation at Warp Speed: How We Got 17 Million Connections Per Second, IEEE Conference on Neural Networks, July, 1988 -- /\/\ /\/\ Marty Marra, Woods Hole Oceanographic Institution, Blake Rm 109 / \ / \ Woods Hole, MA 02543 "marra@jargon.whoi.edu" (508)457-2000x3234