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Finalists Compete for Prestigious ACM Gordon Bell Prize in High Performance Computing

Winners to be announced at SC15 in Austin, TX (USA)

Austin, TX (USA) –  August 20, 2015 – Five outstanding research efforts in high performance technical computing have been selected as finalists in supercomputing’s most prestigious competition, the ACM Gordon Bell Prize in High Performance Computing. The $10,000 prize will be presented to a single winner during SC15 in Austin, TX (USA).

The Gordon Bell Prize recognizes the extraordinary progress made each year in the innovative application of parallel computing to challenges in science, engineering, and large-scale data analytics. Prizes may be awarded for peak performance or special achievements in scalability and time-to-solution on important science and engineering problems. Financial support of the $10,000 prize is made possible by Gordon Bell, a pioneer in high-performance and parallel computing and past winner of the IEEE Seymour Cray Award for his exceptional contributions in the design of several computer systems that changed the world of high performance computing.

Gordon Bell prize finalists are selected by a committee comprising past Gordon Bell winners, as well as leaders in the field of high performance computing. Solving an important scientific or engineering problem in HPC is important, but scientific outcomes alone are not sufficient for this prize—finalists are selected from submissions that describe the innovations of the project, detail the performance levels achieved on one or more real-world applications, and outline what the implications of the approach are for the broader HPC community. 

“The task of selecting this year’s finalists was difficult, but rewarding,” notes co-chair of ACM’s Award committee, Cherri M. Pancake of Oregon State University. “Each year the Bell submissions reflect the very best of what is happening in the high performance computing technical community and the progress that has been made in applying these remarkable computing resources to society’s most challenging problems.” 

This year’s finalists represent the broad impact that the field of high performance computing has across the many disciplines of science and engineering:

  • “Massively Parallel Models of the Human Circulatory System,” with research led by Amanda Randles of Duke University and a team of collaborators from Lawrence Livermore National Laboratory and IBM (abstract)
  • “The In-Silico Lab-On-A-Chip: Petascale And High-Throughput Simulations Of Microfluidics At Cell Resolution,” led by Diego Rossinelli of ETH Zurich and an international team of researchers from Brown University, the University of Italian Switzerland, the National Research Council of Italy, NVIDIA Corporation, and Oak Ridge National Laboratory (abstract)
  • “Pushing Back the Limit of Ab-initio Quantum Transport Simulations on Hybrid Supercomputers,” led by Mauro Calderara with a team from ETH Zurich (abstract)
  • “Implicit Nonlinear Wave Simulation with 1.08T DOF and 0.270T Unstructured Finite Elements to Enhance Comprehensive Earthquake Simulation,” led by a team that includes the University of Tokyo, RIKEN, Niigata University, the University of Tsukuba, and the Research Organization for Information Science and Technology (abstract)
  • “An Extreme-Scale Implicit Solver for Complex PDEs: Highly Heterogeneous Flow in Earth’s Mantle,” led by Johann Rudi from University of Texas at Austin and a team that includes IBM, the Courant Institute of Mathematical Sciences, University of Texas at Austin, and the California Institute of Technology (abstract)

One of these submissions will be announced as the winner of the 2015 Gordon Bell Prize during SC15 on Thursday, 19 November.

The 2014 ACM Gordon Bell Prize for best performance of a high performance application went to “Anton 2: Raising the Bar for Performance and Programmability in a Special-Purpose Molecular Dynamics Supercomputer,” from author David E. Shaw and collaborators at D.E. Shaw Research, part of the proceedings of SC14 and available in the ACM Digital Library.