Path: utzoo!utgpu!jarvis.csri.toronto.edu!mailrus!tut.cis.ohio-state.edu!ucsd!ucsdhub!hp-sdd!ncr-sd!ncrcae!hubcap!argosy!workman From: argosy!workman@decwrl.dec.com (Will Workman) Newsgroups: comp.parallel Subject: Data Parallel Techniques Message-ID: <7969@hubcap.clemson.edu> Date: 12 Feb 90 21:38:16 GMT Sender: fpst@hubcap.clemson.edu Lines: 50 Approved: parallel@hubcap.clemson.edu I will ask our system analyst, Tim Busse, to respond to your request for published papers on problems that do not lend themselves to data parallel techniques, but your integer sorting problem along with other sorts lend themselves to data parallel techniques due to the reductions possible on sets performed in parallel. If you would like to discuss via phone, please call Tim on (301) 571-9480. Also, as you may know, we are working with Jos. Flaherty on putting one of our MP-1 systems into the RPI CS Dept over the next few months. Best Regards > > Will Workman, Dir of Fed Mkt, MasPar >From fpst@hubcap.clemson.edu Fri Feb 9 16:45:33 1990 Received: by armada.MasPar.Com (5.57/Ultrix2.0-B) id AA01399; Fri, 9 Feb 90 16:46:11 PST Received: by decwrl.dec.com; id AA10849; Fri, 9 Feb 90 05:13:56 -0800 Received: by hubcap.clemson.edu; Fri, 9 Feb 90 08:13:39 -0500 Date: Fri, 9 Feb 90 08:13:39 -0500 From: fpst@hubcap.clemson.edu (Steve Stevenson) Message-Id: <9002091313.AA13496@hubcap.clemson.edu> To: DELAGI@SUMEX-AIM.Stanford.EDU, workman@argosy, awilkinson@nasamail.nasa.gov, chokchai@encore.kent.edu, dwk@cs.tufts.edu, harrison@tcg.anl.gov, hcube-users@hamlet.caltech.edu, hcube-users@mtu.edu, incoming-parallel@ntt-20.ntt.jp, kaojh@eecs.nwu.edu, lnl%psuecl.bitnet@relay.cs.net, local-parallel%inmos.co.uk@nss.cs.ucl.ac.uk, munnari!sheila.cs.jcu.oz.au!olivier@uunet.UU.NET, pratt@cs.stanford.edu, rkz@TYRANNOSAURUS.SCRC.Symbolics.COM, scherrer@lovada.dec.com, yuris@flossie.che.wisc.edu Status: R Newsgroups: comp.parallel Approved: parallel@hubcap.clemson.edu From: valoisj@turing.cs.rpi.edu (John Valois) Subject: Non-optimal parallel algorithms I am looking for references to problems for which the best known parallel algorithms are not optimal; i.e. the work (processor-time product) done by the parallel algorithm is greater than the running time of a sequential algorithm. Three problems I know of are integer sorting, maximal independent set, and unweighted single source shortest paths. I am especially interested in problems for which the parallel and sequential work differ by more than a log factor. Replies by e-mail, please. John Valois