We focus on merging high-performance computing with data-centric analysis capabilities to solve significant problems in energy, the environment, and national security. PNNL has made scientific breakthroughs and advanced frontiers in high-performance computer science, computational biology and bioinformatics, subsurface simulation modeling, and multiscale mathematics.
Tensor contractions, generalized matrix multiplications that are time-consuming to calculate, make them among the most compute-intensive operations in several ab initio computational quantum chemistry methods. In this work, Sriram Krishnamoorthy, a research scientist with ACMD’s High Performance Computing group, along with scientists from The Ohio State University, developed a systematic framework that uses three fundamental communication operators—recursive broadcast, rotation, and reduction—to derive communication-efficient algorithms for distributed contraction of arbitrary dimensional tensors on the IBM Blue Gene/Q Mira supercomputer. The framework automatically models potential space-performance trade-offs to optimize the communication costs incurred in executing tensor contractions on supercomputers. The paper documenting this work, “Communication-optimal Framework for Contracting Distributed Tensors,” is a SC14 Best Paper award finalist.
Congratulations to Zhijie “Jay” Xu, of PNNL’s Multiscale Mathematics team (ACMD), who was named an editorial board member of the International Journal of Computational Mathematics, a peer-reviewed, open-access journal that publishes original research and review articles spanning all areas of computational mathematics. He joins a 25-person international board with diverse mathematics-based expertise and is the sole representative from a U.S. Department of Energy national laboratory.
Kerstin Kleese van Dam, a senior researcher in PNNL's Data Sciences group, was invited to speak at the upcoming 2014 Smoky Mountains Computational Sciences and Engineering Conference, or SMC2014, where she will address a session devoted to "Math and Computer Science Challenges for Big Data, Analytics, and Scalable Applications." The invitation-only conference, to be held September 2-4, 2014 in Gatlinburg, Tennessee, is being hosted by Oak Ridge National Laboratory. The conference, featuring computing and engineering experts from national laboratories, academia, government, and private industry, seeks to generate collaborations and leadership relevant to research involving high-priority computational science applications.
Sriram Krishnamoorthy, a research scientist with PNNL’s High Performance Computing group, is making a notable impact at this year’s SC14 conference as co-author of three accepted papers—two, of which, are up for Best Paper awards. This year, the SC14 conference accepted only 84 out of 392 paper submissions, which includes eight Best Paper and six Best Student Paper finalists.
When a frustrated car lover who just happens to have a keen interest in applied graph theory takes to Google, the search results can yield something interesting. In this case, one former professor’s online search for an efficient way to judge classic Jaguars led him to Dr. Mahantesh Halappanavar, a scientist with PNNL’s High Performance Computing group, whose research involving graph matching and coloring algorithms proved to be an opportune and novel matchup between classic cars and classical graph theory.