ACM/IEEE CS George Michael Memorial HPC Fellowship
Endowed in memory of George Michael, one of the founders of the SC Conference series, the ACM/IEEE CS George Michael Memorial HPC Fellowship honors exceptional PhD students throughout the world whose research focus is on high-performance computing applications, networking, storage, or large-scale data analysis using the most powerful computers that are currently available.
Nomination Deadline:
1 May 2024 - End of Day, Anywhere on Earth (AoE), UTC -12
Past Recipients
2023
J. Gregory Pauloski
For optimizing HPC resource usage via scalable optimization methods for deep learning training and improving the efficiency of data fabrics in applications spanning heterogeneous resources.
For optimizing HPC resource usage via scalable optimization methods for deep learning training and improving the efficiency of data fabrics in applications spanning heterogeneous resources.
2023
Rohan Basu Roy
For methods and tools that exploit cloud computing and on-premise HPC resources to enhance the productivity of computational scientists and the sustainability of HPC.”
For methods and tools that exploit cloud computing and on-premise HPC resources to enhance the productivity of computational scientists and the sustainability of HPC.”
2023
Hua Huang - Honorable Mention
For contributions to high-performance parallel matrix algorithms and implementations and their application to quantum chemistry calculations.
For contributions to high-performance parallel matrix algorithms and implementations and their application to quantum chemistry calculations.
2022
Marcin Copik
For incorporating the Function-as-a-Service programming model into HPC applications and bringing high performance into serverless to cut costs and increase the efficiency of supercomputing.
For incorporating the Function-as-a-Service programming model into HPC applications and bringing high performance into serverless to cut costs and increase the efficiency of supercomputing.
2022
Masado Alexander Ishii
For developing lightweight, dimension-parameterized parallel meshing algorithms, with a focus on scalability and improving total time-to-solution for engineering applications.
For developing lightweight, dimension-parameterized parallel meshing algorithms, with a focus on scalability and improving total time-to-solution for engineering applications.
2022
Shelby Lockhart
For contributions to scalable iterative solvers using node-aware communication and low synchronization algorithms to reduce communication bottlenecks on supercomputers.
For contributions to scalable iterative solvers using node-aware communication and low synchronization algorithms to reduce communication bottlenecks on supercomputers.
2021
Mert Hidayetoglu, University of Illinois at Urbana-Champaign
For contributions in scalable spare applications using fast algorithms and hierarchical communication on supercomputers with multi-GPU nodes.
For contributions in scalable spare applications using fast algorithms and hierarchical communication on supercomputers with multi-GPU nodes.
2021
Tirtahk Patel, Northeastern University
Contributions toward making the current error-prone quantum computing systems more usable and helping HPC programmers solve computationally challenging problems.
Contributions toward making the current error-prone quantum computing systems more usable and helping HPC programmers solve computationally challenging problems.
2020
Kazem Cheshmi, University of Toronto
For developing Sympiler for automatically generating efficient parallel code for sparse scientific applications on supercomputers.
For developing Sympiler for automatically generating efficient parallel code for sparse scientific applications on supercomputers.
2020
Madhurima Vardhan, Duke University
For developing a memory light massively parallel computational fluid dynamic algorithm using routine clinical data to enable high fidelity simulations at ultrahigh resolutions.
For developing a memory light massively parallel computational fluid dynamic algorithm using routine clinical data to enable high fidelity simulations at ultrahigh resolutions.
2020
2019
Milinda Shayamal Fernando, University of Utah
For his work on high performance algorithms for applications in relativity, geosciences and computational fluid dynamics (CFD).
For his work on high performance algorithms for applications in relativity, geosciences and computational fluid dynamics (CFD).
2019
Staci A. Smith, University of Arizona
For her work developing a novel dynamic rerouting algorithm on fat-tree interconnects. The Fellowships are jointly presented by ACM and the IEEE Computer Society.
For her work developing a novel dynamic rerouting algorithm on fat-tree interconnects. The Fellowships are jointly presented by ACM and the IEEE Computer Society.
2018
Linda Gesenhues, Federal University of Rio de Janeiro
For her research on fluid dynamics of turbidity currents targeting advancing a 3D-fluid-solver for sedimentation focusing on viscoplastic flow behavior and its methods.
For her research on fluid dynamics of turbidity currents targeting advancing a 3D-fluid-solver for sedimentation focusing on viscoplastic flow behavior and its methods.
2018
Markus Höhnerbach, RWTH Aachen University
For his research on portable optimizations of complex molecular dynamics codes, utilizing abstraction layers and code generation to obtain high-performance, scalable implementations.
For his research on portable optimizations of complex molecular dynamics codes, utilizing abstraction layers and code generation to obtain high-performance, scalable implementations.
2017
Shaden Smith, University of Minnesota
For his work on efficient and parallel large-scale sparse tensor factorization for machine learning applications.
For his work on efficient and parallel large-scale sparse tensor factorization for machine learning applications.
2017
Yang You, University of California, Berkeley
For his work on designing accurate, fast, and scalable machine learning algorithms on distributed systems.
For his work on designing accurate, fast, and scalable machine learning algorithms on distributed systems.
2016
Johann Rudi, The Institute for Computational Engineering and Sciences (The University of Texas at Austin)
Extreme-Scale Implicit Solver for Nonlinear, Multiscale, and Heterogeneous Stokes Flow in the Earth’s Mantle.
Extreme-Scale Implicit Solver for Nonlinear, Multiscale, and Heterogeneous Stokes Flow in the Earth’s Mantle.
2016
Axel Huebl, Helmholtz-Zentrum Dresden-Rossendorf (Technical University of Dresden)
Scalable, Many-core Particle-in-cell Algorithms to Simulate Next Generation Particle Accelerators and Corresponding Large-scale Data Analytics.
Scalable, Many-core Particle-in-cell Algorithms to Simulate Next Generation Particle Accelerators and Corresponding Large-scale Data Analytics.
2015
Maciej Besta, ETH Zurich
His project is entitled "Accelerating Large-Scale Distributed Graph Computations"
His project is entitled "Accelerating Large-Scale Distributed Graph Computations"
2015
Dhairya Malhotra, University of Texas Austin
His project is entitled "Scalable Algorithms for Evaluating Volume Potentials"
His project is entitled "Scalable Algorithms for Evaluating Volume Potentials"
2014
Harshitha Menon, University of Illinois
Her project is entitled "Scalable Load Balancing and Adaptive Run Time Techniques"
Her project is entitled "Scalable Load Balancing and Adaptive Run Time Techniques"
2014
Alexander Breuer, Technische Universität München
His project is entitled "Petascale High Order Earthquake Simulations"
His project is entitled "Petascale High Order Earthquake Simulations"
2013
Jonathan Lifflander, University of Illinois
2013
Edgar Solomonik, University of California, Berkeley
2012
Amanda Peters Randles, Harvard University - Applications, Biomedical
2012
Ryan Gabrys, UCLA - Computer Science, Storage
2012 Honorable Mention
Yanhua Sun, University of Illinois, Urbana-Champaign - Computer Science, Performance
2012 Honorable Mention
Gagan Gupta, University of Wisconsin-Madison - Computer Science
2011
Ignacio Laguna, Purdue University
2011
Xinyu Que, Auburn University
2011 Honorable Mention
Leonardo Arturo Bautista Gomez, Tokyo Institute of Technology
2011 Honorable Mention
Michael J. Duchene, University of Notre Dame
2010
Amanda Peters, Harvard University - Applications, Biomedical
2010
Aparna Chandramowlishwaran, Georgia Institute of Technology - Algorithms
2009
Nathan Tallent, Rice University - Computer Science
2009
Abhinav Bhatele, University of Illinois – Urbana/Champaign - Computer Science
2009 Honorable Mention
Mark Silberstein, Technion - Israel - Applications, Biology
2009 Honorable Mention
Amanda Peters, Harvard University - Applications, Biomedical
2008
Yaniv Erlich, Cold Spring Harbor Laboratory - Applications, Biology
2008
Douglas J. Mason, Harvard University - Physics/ Applications and Algorithms
2008
Yong Chen, Illinois Institute of Technology - Systems
2008 Honorable Mention
Daniel Quest, University of Nebraska Medical Center - Application, Biology
2008 Honorable Mention
Samer Al Kiswany, University of British Columbia - Systems and Storage
2008 Honorable Mention
Sean M. Couch, The University of Texas at Austin - Applications, Astronomy
2007
Mark Hoemmen, University of California at Berkeley - Computer Science, Algorithms
2007
Arpith Jacob, Washington University in St. Louis - Architecture, Genomics
2007
Chao Wang, North Carolina State University - Computer Science, Storage
2007 Honorable Mention
Yong Chen, Illinois Institute of Technology - Applications, CFD
2007 Honorable Mention
Kamesh Madduri, Georgia Institute of Technology - Computer Science, Algorithms
