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Michael Feldman
GPGPU Looks For Respect
Post Date: May 24, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
In 2007, general-purpose computation on GPUs is still the Rodney Dangerfield of HPC. Companies like NVIDIA want to change that. Recently, Andy Keane, general manager of NVIDIA's GPU computing group, briefed me on where the company stands today with their GPGPU effort and gave me a hint about where they're headed.
Michael Feldman
Labor Pains
Post Date: May 17, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
One of the dark sides to globalization is its disruptive effect on labor markets. In the pursuit to maximize corporate profits, high-tech workers in the United States are being squeezed by foreign labor competition. Within the past few years, the H-1B visa worker program has become a symbol of what's wrong with U.S. policy in dealing with globalized labor markets.
Michael Feldman
Filling the Gap
Post Date: May 10, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
The age of multicore architectures necessitates that the age of parallel programming happens concurrently. To make sure this occurs, the hardware and software community are going to have to collaborate like never before. There are signs that the industry is moving in this direction.
Michael Feldman
The Uncommodity Solution
Post Date: May 03, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
In the competition of HPC accelerators, ClearSpeed's coprocessors must battle mass-produced GPUs, Cell processors, and FPGAs. Swimming against the current of commodity solutions is a risky strategy. Does ClearSpeed have the right stuff?
Michael Feldman
Revenge of the SMP?
Post Date: April 26, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
The multicore phenom is changing the way people think about system design. If tricked out multicore SMP machines can replace low-end cluster systems, what will it mean when manycore arrives? Editor Michael Feldman considers some of the possibilities.
Michael Feldman
Bits and Bytes From IDF
Post Date: April 19, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
Intel managed to keep things interesting at their semi-annual developer forum even though the chipmaker is currently between product cycles. The company talked up some of their new technology, including their 'Larrabee' initiative, and offered some early performance results for the upcoming 45nm Penryn processors.
Michael Feldman
Another Look at GPGPU
Post Date: April 12, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
The interest in the general-purpose computation on GPUs (GPGPU) is at an all-time high. Is it for real or just hype? AMD, NVIDIA, PeakStream and others are putting their stakes in the ground and betting that stream computing will be the next big thing.
Michael Feldman
Anyone Know Where We're Headed?
Post Date: April 05, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
What's missing in high performance computing today and where it's going depends on which part of the HPC elephant you're touching. This week, Editor Michael Feldman highlights three feature articles whose authors have rather different perspectives.
Michael Feldman
Congress Finally Getting Its HPC Act Together
Post Date: March 29, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
The recent approval of the 2007 High Performance Computing R&D Act by the House is good news for the HPC community. Editor Michael Feldman takes a look the background of the bill, its chances in the Senate, and its significance for federal agencies should it become law.
Michael Feldman
HPC, Thy Name is Productivity
Post Date: March 22, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
If you've been reading this publication for any length of time, you already realize that HPC is changing. But do we need to change what it stands for? Editor Michael Feldman takes a look at the Performance versus Productivity debate.
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Feature Articles
Exascale Advocates Stand on Nuclear Stockpiles
In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency....
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NSF Forges Further Beyond FLOPs
In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
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CERN, Google Drive Future of Global Science Initiatives
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
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Short Takes
NASA Builds 'Climate in a Box'
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
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Building Supercomputers with Raspberries
May 22, 2013 |
At some point in the not-too-distant future, building powerful, miniature computing systems will be considered a hobby for high schoolers, just as robotics or even Lego-building are today. That could be made possible through recent advancements made with the Raspberry Pi computers.
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Running Computational Fluid Dynamics in the Cloud
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
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Computing the Physics of Bubbles
May 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
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Progress in Parallel: the Bull Parallel Programming Center
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SGI DMF ZeroWatt Disk Solution
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Cray CS300-AC Cluster Supercomputer Air Cooling Technology Video
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.
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