From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.1.3 (2006-06-01) on yquem.inria.fr X-Spam-Level: X-Spam-Status: No, score=0.0 required=5.0 tests=AWL autolearn=disabled version=3.1.3 X-Original-To: caml-list@yquem.inria.fr Delivered-To: caml-list@yquem.inria.fr Received: from mail1-relais-roc.national.inria.fr (mail1-relais-roc.national.inria.fr [192.134.164.82]) by yquem.inria.fr (Postfix) with ESMTP id 23D14BC1F for ; Fri, 11 Jul 2008 00:25:38 +0200 (CEST) X-IronPort-Anti-Spam-Filtered: true X-IronPort-Anti-Spam-Result: ApoEABUpdkhQRFuw/2dsb2JhbACyHA X-IronPort-AV: E=Sophos;i="4.30,340,1212357600"; d="scan'208";a="14983140" Received: from furbychan.cocan.org ([80.68.91.176]) by mail1-smtp-roc.national.inria.fr with ESMTP/TLS/AES256-SHA; 11 Jul 2008 00:25:37 +0200 Received: from rich by furbychan.cocan.org with local (Exim 4.63) (envelope-from ) id 1KH4a0-0001Yd-59; Thu, 10 Jul 2008 23:25:36 +0100 Date: Thu, 10 Jul 2008 23:25:36 +0100 To: Jon Harrop Cc: peng.zang@gmail.com, caml-list@yquem.inria.fr Subject: Re: [Caml-list] thousands of CPU cores Message-ID: <20080710222535.GA5579@annexia.org> References: <200807100944.29221.peng.zang@gmail.com> <200807101500.03079.jon@ffconsultancy.com> MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline In-Reply-To: <200807101500.03079.jon@ffconsultancy.com> User-Agent: Mutt/1.5.13 (2006-08-11) From: Richard Jones X-Spam: no; 0.00; 0100,:01 ocaml:01 ocaml:01 10,:98 wrote:01 caml-list:01 slower:02 mpi:04 perhaps:05 jul:05 thu:05 distributed:05 shared:06 red:92 thousands:91 On Thu, Jul 10, 2008 at 03:00:02PM +0100, Jon Harrop wrote: > Today's biggest shared-memory supercomputers already have thousands of cores. Distributed shared memory perhaps, but thousand core machines are certainly not UMA SMP. It's simply not possible for them to be. > OCaml is already ~8x slower than F# on today's eight core desktops. You don't half talk a load of nonsense. MPI OCaml programs on 8 cores are just as fast, _and_ crucially can scale over clusters and to future multicore machines. Rich. -- Richard Jones Red Hat