From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (qmail 26983 invoked by alias); 15 Jun 2008 22:31:31 -0000 Received: (qmail 26975 invoked by uid 22791); 15 Jun 2008 22:31:31 -0000 X-Spam-Check-By: sourceware.org Received: from yw-out-1718.google.com (HELO yw-out-1718.google.com) (74.125.46.157) by sourceware.org (qpsmtpd/0.31) with ESMTP; Sun, 15 Jun 2008 22:31:06 +0000 Received: by yw-out-1718.google.com with SMTP id 5so2497246ywm.26 for ; Sun, 15 Jun 2008 15:31:04 -0700 (PDT) Received: by 10.151.156.19 with SMTP id i19mr9505345ybo.94.1213569063531; Sun, 15 Jun 2008 15:31:03 -0700 (PDT) Received: from fgglaptop ( [129.215.37.13]) by mx.google.com with ESMTPS id 9sm15850355qbw.14.2008.06.15.15.31.00 (version=SSLv3 cipher=RC4-MD5); Sun, 15 Jun 2008 15:31:02 -0700 (PDT) From: "Grigori Fursin" To: "'gcc'" Cc: , , Subject: GCC-ICI V1.0 & GCC-ICI-PLUGINS V1.0 release (for the MILEPOST GCC) Date: Sun, 15 Jun 2008 22:31:00 -0000 MIME-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: 7bit X-Mailer: Microsoft Office Outlook 12.0 Content-Language: en-gb Message-ID: <48559826.0917400a.5511.39fc@mx.google.com> Mailing-List: contact gcc-help@gcc.gnu.org; run by ezmlm Precedence: bulk List-Id: List-Archive: List-Post: List-Help: Sender: gcc-owner@gcc.gnu.org X-SW-Source: 2008-06/txt/msg00341.txt.bz2 Dear all, Just wanted to mention that we released the new version of GCC ICI and GCC ICI Plugins that are used in the MILEPOST GCC (machine learning based research compiler). I will be at the GCC Summit next week presenting this work and will be happy to discuss our current and future research & developments, however you can already get some hints from our Summit paper: http://gcc-ici.sourceforge.net/papers/fmtp2008.pdf We hope to release MILEPOST GCC (including Machine Learning routines from IBM Haifa) in summer'08 as a GCC branch. Some more info is available here: http://unidapt.org/software.html#milepostgcc Yours, Grigori Fursin ================================================ Grigori Fursin, PhD Research Scientist, UNIDAPT Group, INRIA, France http://unidapt.org - tackling the complexity of future computing systems using machine learning