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November 11, 2008
Computing at Scale
Wednesday morning starts off looking at one of the most talked about visions of the HPC future to come on the scene in the recent past: Parallel Computing Landscape: A View from Berkeley. David Patterson, one of the report's principal authors, discusses A View in this invited talk.
The Programming Models papers session looks at the role of MPI in application development time, an adaptive cut-off for task parallel frameworks, and studies the software environment on the Intel 80-core terascale processor.
Finally, the Doctoral Research Showcase highlights the work of Chao Wang in developing a mechanism for process-level fault tolerance for job healing in HPC, a topic relevant not only to tomorrow's very large scale computers, but also to the creation of a more robust computational support infrastructure.
Wednesday's activities related to the computational infrastructure theme start off with a panel discussion. The provocatively named Will Electric Utilities Give Away Supercomputers with the Purchase of a Power Contract? panel explores the crunch datacenter budgets are feeling right now as falling computer prices push their power distribution systems to their limits.
Chao Wang's paper on process-level fault tolerance, discussed above, also points to key new technologies of interest for future computational infrastructure developments.
Wednesday's application horizons-themed activities focus on opportunities for HPC in medicine and biology. First up is invited speaker Kenneth H. Buetow from the National Cancer Institute with discussion of the issues involved in developing a framework that will enable personalized medicine. A framework in this application area will involve bringing together many different communities and standards of practice, topics closely related to the expanded access theme as well.
Later in the day, SC08 presents two Masterworks sessions related to HPC and the biosciences. HPC in the "Personalization" of Cancer Therapy: Genomics, Proteomics, and Bioinformatics examines the technologies needed to tailor therapy to the molecular profile of an individual patient's disease. Computational Opportunities in Genomic Medicine describes some of the challenging computational problems in basic biology and medicine, and outlines the software infrastructure that is needed to support this highly interdisciplinary field.
Jun 19, 2013 |
Supercomputer architectures have evolved considerably over the last 20 years, particularly in the number of processors that are linked together. One aspect of HPC architecture that hasn't changed is the MPI programming model.
Jun 18, 2013 |
The world's largest supercomputers, like Tianhe-2, are great at traditional, compute-intensive HPC workloads, such as simulating atomic decay or modeling tornados. But data-intensive applications--such as mining big data sets for connections--is a different sort of workload, and runs best on a different sort of computer.
Jun 18, 2013 |
Researchers are finding innovative uses for Gordon, the 285 teraflop supercomputer housed at the San Diego Supercomputer Center (SDSC) that has a unique Flash-based storage system. Since going online, researchers have put the incredibly fast I/O to use on a wide variety of workloads, ranging from chemistry to political science.
Jun 17, 2013 |
The advent of low-power mobile processors and cloud delivery models is changing the economics of computing. But just as an economy car is good at different things than a full size truck, an HPC workload still has certain computing demands that neither the fastest smartphone nor the most elastic cloud cluster can fulfill.
Jun 14, 2013 |
For all the progress we've made in IT over the last 50 years, there's one area of life that has steadfastly eluded the grasp of computers: understanding human language. Now, researchers at the Texas Advanced Computing Center (TACC) are utilizing a Hadoop cluster on its Longhorn supercomputer to move the state of the art of language processing a little bit further.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
Join HPCwire Editor Nicole Hemsoth and Dr. David Bader from Georgia Tech as they take center stage on opening night at Atlanta's first Big Data Kick Off Week, filmed in front of a live audience. Nicole and David look at the evolution of HPC, today's big data challenges, discuss real world solutions, and reveal their predictions. Exactly what does the future holds for HPC?
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