Visit additional Tabor Communication Publications
May 23, 2013
The latest Green500 list announced this week at SC10 is once again shining the spotlight on the energy efficiency of the world's top supercomputers. But the path to more efficient high performance computing goes beyond this simple benchmark-based approach. Ralf Gruber and Vincent Keller, both from École Polytechnique Fédérale de Lausanne (EPFL), describe a holistic approach to more energy-efficient HPC operations in their book, HPC@GreenIT. HPCwire contributor Steve Conway interviewed the Swiss duo about their ideas, including a new benchmark.
- Despite the still-modest showing of 10 Gigabit Ethernet (10GbE) technology in high performance computing deployments, vendors at SC10 were showcasing a wide array of performance-laden Ethernet products. IT Brand Pulse Labs analyst Tim Dales takes a look at the prospects for 10GbE in high performance computing, the migration pattern from GbE to 10GbE, and some application areas that seem especially suitable for the technology.
- The increased awareness in the HPC community of the need to maximize energy efficiency in compute-intensive environments has never been greater. With The Green500 results coming out this week, HPCwire's Caroline Connor turned to Professor Wu Feng from Virginia Tech, the man largely credited with the movement towards environmentally-sustainable supercomputing.
- Interpreted programming languages usually don't find too many friends in high performance computing. Yet Python, one of the most popular general-purpose interpreted languages, has garnered a small community of enthusiastic followers. True believers got the opportunity to hear about the language in the HPC realm in a tutorial session on Monday and a BoF session on Wednesday. Argonne National Lab's William Scullin, who participated in both events, talked with HPCwire about the status of Python in this space and what developers might look forward to.
- NVIDIA's CUDA is easily the most popular programming language for general-purpose GPU computing. But one of the more interesting developments in the CUDA-verse doesn't really involve GPUs at all. In September, HPC compiler vendor PGI (The Portland Group Inc.) announced its intent to build a CUDA compiler for x86 platforms. The technology will be demonstrated for the first time in public at SC10 this week in New Orleans.
- Although the parallel programming landscape is relatively young, it's already easy to get lost in. Beside legacy frameworks like MPI and OpenMP, we now have NVIDIA's CUDA, OpenCL, Cilk, Intel Threading Building Blocks, Microsoft's parallel programming extensions for .NET, and a whole gamut of PGAS languages. And according to Intel's Tim Mattson, that's not necessarily a good thing.
- Data-intensive applications are quickly emerging as a significant new class of HPC workloads. For this class of applications, a new kind of supercomputer, and a different way to assess them, will be required. That is the impetus behind the Graph 500, a set of benchmarks that aim to measure the suitability of systems for data-intensive analytics applications.
- SGI has made good on its promise to create a petaflop-in-a-cabinet supercomputer that can scale up to tens and even hundreds of cabinets. Developed under the code name "Project Mojo," the company has dubbed the new product Prism XL. SGI will be showcasing the system this week in their exhibit booth at the Supercomputing Conference in New Orleans.
- Like every technology-based sector, high performance computing takes its biggest leaps by the force of disruptive innovation, a term coined by the man who will keynote this year's Supercomputing Conference (SC10) in New Orleans. Clayton M. Christensen doesn't know a whole lot about supercomputing, but he knows a great deal about the forces that drive it.
Podcast: More GPUs On Demand; Fledgling Graph 500 List
Addison and Michael revisit some news items from last week's Supercomputing Conference.Read more...
Conference Highlights Dividing Lines Across GPGPUs
If there was a dominating theme at the Supercomputing Conference this year, it had to be GPU computing.Read more...
Podcast: Highlights from SC10
Addison and Michael consider the results of the TOP500 and Green500, pick the winners and losers of SC10, and discuss the biggest news of the week.Read more...
InfiniBand Continues Upward Climb in Top Supers
Lost in the hoopla about the ascendency of China and GPGPUs in the TOP500 is the continuing saga of the InfiniBand-Ethernet interconnect rivalry.Read more...
Podcast: Horst Simon Says; Google and NASA Take Quantum Leap
Nicole and Addison continue to discuss the exascale race in light of Horst Simon's recent Q-and-A and consider the possibilities of D-Wave's quantum computer.
Podcast: New HPC Products in the Mid-Range and A Strong Yen for Exascale
Nicole and Addison discuss mid-range HPC products, the Japanese exascale initiative and the Irish500 this week.
Podcast: End Users Speak Up on Accelerators and Leadership Changes in HPC
This week Nicole and Addison discussed the growing trend of accelerators and leadership changes in HPC, including Intel's new CEO.
James Reinders is a senior engineer for Intel and has helped develop supercomputers, microprocessors and software tools for 25 years. James focuses on parallel programming models and is the author of a number of books on the topic.More > >
Gary M. Johnson is the founder of Computational Science Solutions, LLC, and a specialist in HPC management as well as the development of national science and technology policy. He is also involved in the creation of education and research programs in computational engineering and science.More > >
Andrew Jones has over 15 years of experience in HPC, in supercomputer center management and as a research user in industry. He now leads the HPC Services & Consulting at Numerical Algorithms Group (NAG).More > >
Addison Snell is the CEO of Intersect360 Research and a veteran of the high performance computing industry. During his tenure, he has established Intersect360 Research as a premier source of market information, analysis and consulting.More > >
Michael Wolfe has developed compilers for over 30 years in both academia and industry, and is now a senior compiler engineer at The Portland Group, Inc. More > >