Search Results for parallelprogrammingtag:blogs.intel.com,2009:/cgi-bin/mt//feed/parallelprogramming2009-11-23T15:49:34ZMovable Type 4.21-en20120Investing in hardware for parallel programmabilitytag:blogs.intel.com,2009:/research//17.27982009-03-23T15:00:00Z2009-03-20T15:39:40ZJim Held
About a year ago, Intel and Microsoft each invested $10M in jointly funding Universal Parallel Computing Research Centers at UC Berkeley and U of Illinois to make parallel programming mainstream in future client software. I’ve had the pleasure of attending...
Unwelcome Advicetag:blogs.intel.com,2008:/research//17.17692008-06-30T19:11:00Z2008-08-14T16:13:05ZAnwar Ghuloum (葛安华)http://blogs.intel.com/research/2007/07/profile_anwar_ghuloum.php
Generally speaking, you don’t want to deliver any kind of difficult news to customers, partners, etc. Some of us are lucky enough to talk to folks about the performance and capabilities of our processors, shipping and soon-to-ship. Some of us,...
Taking Multi-core Programming Into The Bazaar: An Argument for Open Source Toolstag:blogs.intel.com,2008:/research//17.14642008-04-07T17:10:10Z2008-07-30T22:42:29ZAnwar Ghuloum (葛安华)http://blogs.intel.com/research/2007/07/profile_anwar_ghuloum.php
All the major CPU manufacturers have thrown their lot in with multi-core designs. The (multi-billion dollar) question now is how to program these devices. I can tell you with some confidence that we don’t yet know what the answer will...
Introducing two “Universal Parallel Computing Research Centers”tag:blogs.intel.com,2008:/research//17.13882008-03-19T17:00:00Z2008-07-30T22:42:29ZJustin Rattnerhttp://blogs.intel.com/research/2007/06/profile_justin_rattner.php
Today, it’s a pleasure for me to report that Intel and Microsoft are joining forces to accelerate the mainstream adoption of highly parallel computing technology. Together, the two companies are pioneering the concept of industry-funded “Universal Parallel Computing Research Centers”...
"Automated sports highlights" demo videotag:blogs.intel.com,2008:/research//17.13892008-03-17T23:23:06Z2008-06-13T22:08:50ZSean Koehlhttp://blogs.intel.com/research/2007/06/profile_sean_koehl.php
I wanted to share a video of some of the application research we have going on at our Intel China Research Center in the area of video mining. In collaboration with Tsinghua University, Yimin Zhang and his team at ICRC...
<![CDATA[Backward Compatibility ≠ Forward Scalability?]]>tag:blogs.intel.com,2008:/research//17.11782008-03-06T12:36:48Z2008-04-01T17:10:34ZAnwar Ghuloum (葛安华)http://blogs.intel.com/research/2007/07/profile_anwar_ghuloum.php
One of the constants valued by our developers is the backward compatibility provided by our architectures in the form of a consistent ISA. Historically, a corollary of this has been that legacy software has benefited from process and micro-architectural improvement....
Designing future computers with future workloadstag:blogs.intel.com,2008:/research//17.13362008-02-26T19:01:00Z2008-03-31T14:51:23ZTimothy Mattsonhttp://blogs.intel.com/research/2007/06/profile_tim_mattson.php
What will people do with their computers in five, ten or twenty years? How will computers need to change to support these future usage models? And finally, how the heck are we going to program these things? These are the...
C for Throughput Computingtag:blogs.intel.com,2008:/research//17.10112008-01-03T22:40:47Z2008-03-17T17:46:00ZAnwar Ghuloum (葛安华)http://blogs.intel.com/research/2007/07/profile_anwar_ghuloum.php
One of the challenges of enabling parallel computing broadly is that there is (understandably) some inertia around migrating programming tools, build environments, and, generally, 100’s of thousands or millions of lines of code to new programming models or compilers (especially...
My programming model rules! Yours drools!tag:blogs.intel.com,2007:/research//17.10192007-12-17T21:26:41Z2008-03-10T16:36:20ZTimothy Mattsonhttp://blogs.intel.com/research/2007/06/profile_tim_mattson.php
In a schoolyard playground somewhere in Silicon Valley … two programmers meet on the swing-set. P1: My programming language is easy to use and delivers high performance with only minimal programmer effort. P2: Well my language is better and is...
Throughput Computing for Risk: A Quick Note on Financial Engineeringtag:blogs.intel.com,2007:/research//17.10042007-12-06T21:18:40Z2008-03-04T03:09:36ZAnwar Ghuloum (葛安华)http://blogs.intel.com/research/2007/07/profile_anwar_ghuloum.php
One of the things my group does while developing parallel programming models is to try to comprehend the application programming models and patterns that our tools will be used to implement. We believe this is essential to any work on...
Q4 ITJ: The Velvet Revolution of Multi-core Softwaretag:blogs.intel.com,2007:/research//17.9832007-11-15T16:39:21Z2008-02-29T20:38:30ZAnwar Ghuloum (葛安华)http://blogs.intel.com/research/2007/07/profile_anwar_ghuloum.php
Physics is driving a revolution in software development. For software developers, I’m sure it’s odd to think about it this way but the evolving trends in semiconductor manufacturing is going to have a profound impact in how applications, tools, and...
The Problem(s) with GPGPUtag:blogs.intel.com,2007:/research//17.9192007-10-18T19:16:35Z2007-12-17T21:58:31ZAnwar Ghuloum (葛安华)http://blogs.intel.com/research/2007/07/profile_anwar_ghuloum.php
Hundreds of GigaFLOPs are available in your PC today….in fact, you might even have a TeraFLOP in there. As someone who cut his teeth on a Cray C90 (15 GFLOPS max), this is an intriguing opportunity to dabble; for the...
Parallel programming environments: less is moretag:blogs.intel.com,2007:/research//17.8782007-10-02T17:29:17Z2007-11-26T18:30:13ZTimothy Mattsonhttp://blogs.intel.com/research/2007/06/profile_tim_mattson.php
The single most important paper for programming language designers to read came out in 2000. It wasn’t written by a computer scientist, mathematician, or physical scientist. It was written by a couple professors studying social psychology:...
The Many Flavors of Data Parallelismtag:blogs.intel.com,2007:/research//17.7892007-09-06T23:17:30Z2007-11-05T21:57:58ZAnwar Ghuloum (葛安华)http://blogs.intel.com/research/2007/07/profile_anwar_ghuloum.php
Data parallel programming models have been “in vogue” lately because of their prevalence in GPGPU programming. As I alluded to in my previous blog, there are other reasons we should be looking at data parallelism….but not all of these models...
Multi-core research update: the intimate coupling of software & hardwaretag:blogs.intel.com,2007:/research//17.7512007-08-14T15:00:00Z2008-02-29T21:18:07ZSean Koehlhttp://blogs.intel.com/research/2007/06/profile_sean_koehl.php
This week we are excited to share further technical progress towards our vision to enable scalable, programmable multi-core architectures based on many cores. We are disclosing 8 technical papers from our Tera-scale program via the Intel Technology Journal with new...
What Makes Parallel Programming Hard?tag:blogs.intel.com,2007:/research//17.7072007-08-03T19:52:49Z2008-02-29T21:18:07ZAnwar Ghuloum (葛安华)http://blogs.intel.com/research/2007/07/profile_anwar_ghuloum.php
One of the challenges of multi-core and tera-scale architecture is how to make parallel programming “easier”. But what makes it hard in the first place? I thought it might be worth explaining some of our experiences with this as a...
Groundhog Day: A Personal Perspective on Multi-core Computingtag:blogs.intel.com,2007:/research//17.6972007-07-27T15:00:00Z2008-02-29T21:18:07ZAnwar Ghuloum (葛安华)http://blogs.intel.com/research/2007/07/profile_anwar_ghuloum.php
In the 1993 comedy “Groundhog Day”, Bill Murray finds himself reliving the same (eponymous) day again and again until he mends his ways and becomes a better person. Nearly twenty years ago, when I entered graduate school, parallel computing was...
Virtual worlds, 80 cores, and 20,000 golden pigstag:blogs.intel.com,2007:/research//17.6842007-07-19T18:48:41Z2007-09-14T19:34:19ZSean Koehlhttp://blogs.intel.com/research/2007/06/profile_sean_koehl.php
Why show 20,000 golden pigs to a select group of 85 press and analysts? Because it was a cool way to show both a future application capability (massive collision detection) and a new parallel programming environment called Ct, i.e. C...
Parallel Computing: making sequential software raretag:blogs.intel.com,2007:/research//17.6462007-06-28T15:00:59Z2007-08-29T17:03:11ZTimothy Mattsonhttp://blogs.intel.com/research/2007/06/profile_tim_mattson.php
In my job at Intel, I get to travel far and wide to meet with research groups working on parallel computing. And as travel, I am constantly struck by the differences between the state of HW and SW in parallel...
Multi-core processors: An inflection point in softwaretag:blogs.intel.com,2007:/research//17.6362007-06-19T16:00:15Z2008-02-29T21:18:07ZAli-Reza Adl-Tabatabaihttp://blogs.intel.com/research/2007/06/profile_alireza_adltabatabai.php
Welcome to my first blog! I’m delighted to be part of the Research@Intel blog. As an Intel researcher, my job involves developing new programming systems for future Intel architectures. I work on a range of technologies spanning programming languages, optimizing...