ABOUT THIS AWARD
Endowed in memory of George Michael, one of the founding fathers of the SC Conference series, the ACM IEEE-CS George Michael Memorial Fellowships honor exceptional PhD students throughout the world whose research focus areas are in high performance computing, networking, storage, and large-scale data analysis. ACM, the IEEE Computer Society, and the SC Conference support this award.
Fellowship winners are selected each year based on overall potential for research excellence, the degree to which technical interests align with those of the HPC community, academic progress to date, recommendations by their advisor and others, and a demonstration of current and anticipated use of HPC resources. The Fellowship includes a $5,000 honorarium, plus travel and registration to receive the award at the annual SC conference.
Two Students Named Recipients of ACM/IEEE-CS George Michael Memorial HPC Fellowships
, a PhD student in the Scalable Parallel Computing Lab led by Professor Torsten Hoefler at ETH Zurich, won recognition for his project, "Accelerating Large-Scale Distributed Graph Computations." During first year as a PhD student, Besta successfully completed several projects related to various HPC subdomains, which secured Besta the first Google European Doctoral Fellowship in Parallel Computing.
Besta's research interests focus on improving the performance of large-scale graph processing in both traditional scientific domains and in the emerging big data computations. Besta and his advisor also collaborate with researchers from the Georgia institute of Technology on designing a novel on-chip topology for future massively parallel manycore architectures that improves the performance of network traffic patterns present in graph processing workloads.
, a PhD student at the University of Texas at Austin actively working in the field of high performance computing, won recognition for his project, "Scalable Algorithms for Evaluating Volume Potentials." As an undergraduate intern, Malhotra was part of the group that won the 2010 ACM Gordon Bell Prize for "Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures," where he had implemented performance critical GPU code using CUDA.
Malhotra's research focuses on developing fast scalable solvers for elliptic PDEs such as Poisson, Stokes and Helmholtz equations. Additionally, a significant contribution of Malhotra's research has been development of the pvfmm library (Parallel Volume Fast Multipole Method) for evaluating volume potentials efficiently.