Xref: utzoo sci.aeronautics:2030 sci.astro:12236 sci.bio:4683 sci.chem:3471 sci.crypt:4390 sci.econ:2475 sci.electronics:18868 sci.energy:4287 sci.engr:941 sci.engr.chem:112 sci.environment:9986 sci.geo.fluids:300 sci.geo.geology:226 Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!zaphod.mps.ohio-state.edu!rphroy!caen!uwm.edu!lll-winken!fernando.llnl.gov From: deboni@fernando.llnl.gov (Tom DeBoni) Newsgroups: sci.aeronautics,sci.astro,sci.bio,sci.chem,sci.crypt,sci.econ,sci.electronics,sci.energy,sci.engr,sci.engr.chem,sci.environment,sci.geo.fluids,sci.geo.geology Subject: y Message-ID: <94173@lll-winken.LLNL.GOV> Date: 28 Mar 91 19:35:56 GMT Sender: usenet@lll-winken.LLNL.GOV Followup-To: sci.aeronautics Organization: Lawrence Livermore National Laboratory Lines: 44 Nntp-Posting-Host: fernando.llnl.gov This is an update of an earlier posting which contained errors. We apologize to the net commmunity for wasting bandwidth; we think we've got it right this time... ---------------------------------------------------------------------------- The Sisal Scientific Computing Initiative Contacts: John Feo and Dave Cann The Computing Research Group at Lawrence Livermore National Laboratory (LLNL) announces the Sisal Scientific Computing Initiative (SSCI). The Initiative will award free Cray X-MP time and support to researchers willing to develop their applications in SISAL, a functional language for parallel numerical computation. Members of the Computing Research Group will provide free educational material, training, consulting, and user services. SSCI is an outgrowth of the Sisal Language Project, a collaborative effort by Lawrence Livermore National Laboratory and Colorado State University and funded in part by the Office of Energy Research (Department of Energy), U.S. Army Research Office, and LLNL. SISAL provides a clean and natural medium for expressing machine independent, determinate, parallel programs. The cost of writing, debugging, and maintaining parallel applications in SISAL is equivalent to the cost of writing, debugging, and maintaining sequential applications in Fortran. Moreover, the same SISAL program will run, without change, on any parallel machine supporting SISAL software. Recent SISAL compiler developments for the Alliant FX/80, Cray X-MP, and other shared memory machines have resulted in SISAL applications that run faster than Fortran equivalents compiled using automatic concurrentizing and vectorizing tools. Interested participants should submit a 1-2 page proposal by June 1, 1991 to Computing Research Group, L-306 Lawrence Livermore National Laboratory P.O. Box 808 Livermore, CA 94450 Proposals should describe the research and explain how the work will benefit from parallel execution on a Cray X-MP. We will announce accepted proposals by July 1, 1991. For more information about the Sisal Scientific Computing Initiative please contact John Feo (feo@lll-crg.llnl.gov) at (415) 422-6389 or Dave Cann (cann@lll-crg.llnl.gov) at (415) 423-7875. We look forward to hearing from you.