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 2023 - End of Day, Anywhere on Earth (AoE), UTC -12Next Deadline: 1 May 2023
The award committee is selected by the two societies and includes past winners as well as leaders in the field. The Fellowship includes a $5000 honorarium, recognition on the ACM, IEEE CS, and ACM SIGHPC websites, and travel expenses to attend SC. The recipients will be honored at the SC Conference Awards Ceremony
Nomination Process
Selection Criteria
Candidates must be enrolled in a full-time PhD program at an accredited college or university and must meet the minimum scholastic requirements at their institution. They are expected to have completed at least one year of study, and have at least one year remaining between the application deadline and their expected graduation.
The Fellowship reflects the two societies’ (ACM and IEEE CS) long-standing commitment to workforce diversity. Applications from women, minorities, international students, and all who contribute to diversity are encouraged. Advisees of committee members are not eligible for the award, nor can committee members provide recommendation letters. Applications will be evaluated based on the following factors:
- overall potential for research excellence
- degree to which technical interests align with those of the HPC community
- demonstration of current and planned future use of HPC resources
- evidence of a plan of study to enhance HPC-related skills
- evidence of academic progress to-date, including presentations and publications
- recommendation by faculty advisor
Submissions
Nominations for the George Michael Memorial HPC Fellowship are in the form of self-nominations, submitted using the online nomination form. Materials must be prepared as specified below. Incomplete or incorrect nominations will be disqualified.
- Name, address, phone number, and email address of nominator (in this case, the candidate is self-nominating).
- Name and contact info for endorser (must be the candidate’s PhD advisor). After the nomination has been submitted, the student will receive an email confirming its receipt. That email will include an encrypted URL which must be forwarded to the advisor. The advisor will use the URL to submit a confidential letter of endorsement (not to exceed 1500 words). Note that it is the candidate’s responsibility to ensure that the advisor (a) receives the endorsement instructions, and (b) submits the endorsement before the deadline.
- Suggested citation if the nomination is selected. This should be a concise statement (maximum of 25 words) describing your research. Note that the final wording for award announcements will be at the discretion of the Award Committee.
- Nomination (PDF not exceeding 5 pages in length, following typical technical paper page standards: 11pt font, single spaced text, fitting within 7.5” x 10” text area). Note that the research interests should be explained in terms understandable to a non-specialist. Only nominations meeting all requirements, including length limitations, will be considered.
- Educational Information (use a table listing each item in a separate row)
- name of educational institution
- name of department
- name of department chair
- enrollment basis (either Full Time or Other; explain if Other)
- year and term PhD program was entered
- most recent GPA
- expected graduation date
- Additional Candidate Information
- o primary telephone
- o alternate telephone
- Statement of Research (2 pp max)
- description of candidate’s research and its importance
- progress to date
- how candidate has used HPC in the past
- plans for the remaining year(s) of graduate study
- Publications, Reports, and Major Presentations
- bibliographic-style listing, including names of all authors in the order they appeared on the title page/slide
- system and environment where performance was measured (1 p max)
For questions on the above, please contact us at acm-awards@acm.org, or Jade Morris, ACM Awards Committee Liaison. ACM’s conflict-of-interest guidelines apply to all award nominations.
ACM/IEEE CS George Michael Memorial HPC Fellowship Committee
- Ignacio Laguna, Lawrence Livermore National Laboratory (LLNL) – ACM rep, (Chair)
- Trish Damkroger, Hewlett Packard Enterprise – CS rep
- Ewa Deelman, USC Information Sciences Institute – CS Rep
- Tina M. Declerck, Lawrence Berkeley National Lab – CS Rep
- Samantika Sury, Intel Corporation – CS rep
- Michael Gerndt, TU Munich – ACM rep
- Tamara Kolda, Sandia Labs – ACM rep
- Christine Harvey, Mitre – ACM rep
Past Recipients
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