The Week in Review

By Tiffany Trader

July 15, 2010

Here is a collection of highlights from this week’s news stream as reported by HPCwire.

Clemson Gets $1.4M to Improve Cyberinfrastructure for SC Researchers

EM Photonics Announces Partnership with PSSC Labs

Purdue’s Coates Cluster Achieves First Ever TOP500 Ranking for 10Gb Ethernet

Wilson Unlocks the Secret of Swerving Soccer Balls Using STAR-CCM+

AccelerEyes’ Jacket Product Family Supports the Latest NVIDIA Fermi GPUs

Internet2, NOAA Partner to Provide New Research Network

Portland Group Releases PGI Visual Fortran for Visual Studio 2010

University of Wales Supercomputing Project to Benefit Welsh Economy

Microsoft Research Illuminates Night Sky and Mars in 3D

RMSC, ESRI Collaborate on HPC Cloud Applications

Intersect360 Research Says HPC Market Will Rebound to $21.8 Billion by 2014

EM Photonics Releases CULA 2.0 to Support Latest Fermi-based NVIDIA GPUs

Graph Theory Predicts Clear Favorite for the FIFA World Cup

NASA Center for Climate Simulation Expands Computational Power

It was just last month that the NASA Center for Climate Simulation (NCCS) launched under the wing of NASA’s Goddard Space Flight Center in Greenbelt, Md. With a mandate to provide “an integrated set of supercomputing, visualization, and data interaction technologies that will enhance agency capabilities in weather and climate prediction research,” the project would need some high-end HPC equipment to do all that heavy lifting. Today Dell revealed its role in expanding the computational capabilities of the climate project. For starters, as part of its estimated $5.1 million contract with Dell, NCCS is experiencing a doubling of its computing power to more than 300 trillion calculations per second. If every person on the planet grabbed a calculator at the same time, they could not match that kind of speed.

The new Dell PowerEdge C6100 servers are customized for high-performance computing environments and will enable NCCS users to fine-tune their climate models. As always, better input equals better output, and greater computing power allows scientists to include more data in their models. When they can add smaller-scale features of the atmosphere and oceans, the models and associated forecasts will be more accurate. The increase in data analysis capacity will serve not only NASA’s earth and space science user community, but the community at large who will receive the benefits of more advanced climate models and climate predictions.

Following a much-needed trend, this increase in system performance is matched with a reduction in energy expenditure compared with previous iterations — improvements of 69 percent in performance and 47 percent in energy efficiency are anticipated.

According to the announcement, the Dell PowerEdge C6100 servers, which debuted this spring, serve a nitch in the both the public and private research sector among groups seeking a balance between performance, initial expenditure and energy efficiency.

Phil Webster, chief of Goddard’s Computational and Information Sciences and Technology Office, explained that Dell’s PowerEdge servers were selected based upon both the commitment of Dell to the HPC community and the ability of their systems to scale over time.

Amazon Opens up Cloud to HPC Apps

The big story this week occurs at the intersection of HPC and cloud computing, and has already received signifcant coverage both at HPCwire, here, and in our sister publication, HPC in the Cloud, here. That’s right: I’m talking about Amazon’s just-announced Cluster Compute Instances (CCI) for Amazon EC2.

Released as part of Amazon Web Services, CCI is a new cloud computing instance type that specifically addresses the performance needs of HPC applications. The HPC instance is similar to the already-established EC2 instances, but has been custom-engineered to provide high-end computing power and low-latency networking, opening up the Web services to users with more discerning computational requirements.

Berkeley Lab collaborated with Amazon to test drive their HPC applications on the Cluster Compute Instances, reporting a speedup of 8.5 times when compared to apps run on the general EC2 instance types. As Michael Feldman points out in his feature article, this speedup isn’t really surprising considering the HPC instance’s increased computing power and increased network throughput.

It is worth noting, however, that when Amazon ran the Linpack benchmark on 880 of their Cluster Compute instances (7,040 cores), the performance was measured at 41.82 teraflops. That’s good enough to put the system at the 146th position on the June TOP500 list.

At any rate, this announcement shows a rising confidence level in the market for HPC apps to be run in the cloud. In the four years since Amazon Web Services was launched, it’s progressed from offering run-of-the-mill computing on demand to targeting the more specific needs of complex workloads and network-bound apps. And there’s still plenty of room at the top.

Adaptive Computing, Clustercorp, Cycle Computing, and Univa-UD all support access on EC2’s Cluster Compute Instances. If you would like more information, check out Amazon’s resource page here.

Carnegie Mellon Promotes Computer Science Majors

Kudos to Carnegie Mellon for launching a $7 million inititive to get young students interested in technology. Sponsored by the Defense Advanced Research Projects Agency (DARPA), Fostering Innovation through Robotics Exploration (FIRE) is designed to promote interest in computer science by making it fun. And what could be more fun for kids and teens than getting to build your own robot?

From the announcement:

FIRE will develop new tools that enable middle and high school students to expand upon their interest in robots, leading them from one CS-STEM activity to the next. Examples are programming tools that create game-like virtual worlds where robot programs can be tested, as well as computerized tutors that teach mathematics and computer science in the context of robotics.

The number of US college students majoring in computer science, science, technology, engineering and mathematics (CS-STEM) and those with CS-STEM degrees is declining. The statistics for the computer science field are especially troubling — the number of graduates dropped 43 percent from 2004 to 2007, and women and minorities remain underrepresented. Trends like these raise concerns about national competitiveness.

Robin Shoop, director of FIRE and of Carnegie Mellon’s Robotics Academy and an international leader in the development of K-12 robotic education curriculum, commented:

“Tens of thousands of students nationwide participate in robotic activities every year, but these activities do not always translate into increases in academic preparation or sustained engagement with CS-STEM. FIRE will provide the infrastructure, the tools, and the resources to significantly engage students for the long term.”

Getting kids in K-12 involved in science and technology and steering them into technology-related majors should be a key priority for every school in this country. It’s heartening to read any news items on this essential topic. More information is available at www.fire.cs.cmu.edu.

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LANL Simulation Shows Massive Black Holes Break ‘Speed Limit’

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CPU-based Visualization Positions for Exascale Supercomputing

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US Supercomputing Leaders Tackle the China Question

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New Japanese Supercomputing Project Targets Exascale

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Nvidia Debuts HGX-1 for Cloud; Announces Fujitsu AI Deal

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HPC4Mfg Advances State-of-the-Art for American Manufacturing

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For IBM/OpenPOWER: Success in 2017 = (Volume) Sales

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Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

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Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

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TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

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Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

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IBM Wants to be “Red Hat” of Deep Learning

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BioTeam’s Berman Charts 2017 HPC Trends in Life Sciences

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HPC Startup Advances Auto-Parallelization’s Promise

January 23, 2017

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HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its assets. Read more…

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HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu’s Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural network training and now they are sharing their implementation with the larger deep learning community. Read more…

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IDG to Be Bought by Chinese Investors; IDC to Spin Out HPC Group

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US Supercomputing Leaders Tackle the China Question

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