Conference Update: PEARC24 Proceedings on our OpenTOC site
2024 Outstanding Doctoral Dissertation Award Winner Dr. William S. Moses
ACM's Special Interest Group on High Performance Computing (SIGHPC) is pleased to announce that Dr. William S. Moses has won the 2024 SIGHPC Doctoral Dissertation Award. This award is given each year for the best doctoral dissertation completed in high performance computing (HPC) in the previous year. Nominations were evaluated on the novelty of the work, quality of scholarship, significance of the research contributions, and potential impact on theory and practice. The award includes a $2,000 cash prize, a plaque, and recognition at the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'24) in November, 2024.
Dr. Moses' dissertation addresses how general-purpose compilers can efficiently support domain-specific abstractions. The tools he developed enable domain experts to exploit high-performance computing without becoming HPC experts themselves. His research work overturns the conventional wisdom that domain-specific abstractions must be implemented by source-code tools. For instance, Moses' Tapir compiler optimizes parallel code by embedding parallelism directly into the compiler's internal representation. Tapir now forms the basis of the open-source OpenCilk compiler. As another example, the Enzyme compiler showed that derivatives of arbitrary functions expressed as program code can be generated automatically, yielding significant performance improvement over source-based tools. A key advantage of Moses' compiler-based approach is composability, allowing seamless combination of compiler tools.
Dr. Moses received his Ph.D. degree in Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. Currently, he is in his first year as an Assistant Professor in the Department of Computer Science at the University of Illinois, Urbana-Champaign.
Dr. Kathryn Mohror announced as Winner of the 2024 ACM SIGHPC Emerging Woman Leader in Technical Computing Award
Dr. Mohror is a Distinguished Member of Technical Staff and Deputy Director of the Laboratory Directed Research and Development Program at Lawrence Livermore National Laboratory. She is recognized for her innovative and transformative contributions to HPC I/O and programming models and tools, as well as exemplary service and leadership in the HPC community.
The Emerging Woman Leader in Technical Computing award honors mid-career women within the technical and HPC sectors. The award is presented annually in recognition of the awardee’s technical contributions and impact in growing the HPC community through service and mentorship. The award is presented at the annual SC conference, the HPC community's most prestigious gathering.
Dr. Kathryn Mohror received her bachelor’s degree in chemistry, and her master’s and Ph.D. in computer science from Portland State University, Portland, OR. Throughout her professional career, she has received numerous honors, fellowships, and awards, including the 2022 Oppenheimer Science and Energy Leadership Program Fellowship, a 2019 DOE Early Career Research award, and R&D 100 Awards for the Scalable Checkpoint/Restart Framework (2019) and the UnifyFS file system (2024).
2024 SIGHPC Fellows Announced
ACM’s Special Interest Group on High Performance Computing (SIGHPC) has announced the two recipients of the ACM SIGHPC Computational and Data Science Fellowships for 2024. The fellowships are highly competitive and are awarded after a rigorous merit review.
The fellowship program, funded exclusively by SIGHPC, is intended to increase the diversity of students pursuing graduate degrees in data science and computational science, including women as well as students from racial/ethnic backgrounds that have been historically underrepresented in the computing field. The fellowship provides $15,000 annually for study anywhere in the world.
Come Visit SIGHPC at SC23!
2023 Annual SIGHPC Member Meeting
The 2023 Annual SIGHPC Member Meeting will take place on November 14, 2022 at 12:15-1:15 MT at SC23 in room 505. The annual business meeting of SIGHPC is your opportunity to hear about and discuss the status of SIGHPC and its chapters. We will also be discussing upcoming plans for the year. All of the elected officers and many of the other volunteers will be present to answer your questions about SIGHPC. Representatives from our chapters will also be available.
2023 Annual meeting slides now available for download.
SIGHPC Booth at SC23
Come visit the SIGHPC Executive Council and other members of SIGHPC at the SIGHPC Booth at SC23! The booth will be located in Lobby A/F, right across from registration.
SC23 Information
Visit our SC23 page for more information, slides, and other materials from SC23 meetings and sessions.
Prof. Amanda Randles announced as Winner of the 2023 ACM SIGHPC Emerging Woman Leader in Technical Computing Award
Dr. Amanda Randles is the 2023 ACM SIGHPC Emerging Woman Leader in Technical Computing award winner. Dr. Randles is the Alfred Winborne and Victoria Stover Mordecai Associate Professor of Biomedical Sciences at Duke University and holds positions with the departments of Biomedical Engineering, Engineering and Materials Science, and Computer Science. She is also member of the Duke Cancer Institute. She is recognized for her innovative work in developing new approaches to circulatory blood flow simulation at all scales of computing, as well as her dedicated mentorship and community service.
The Emerging Woman Leader in Technical Computing award is unique in recognizing mid-career women in the technical and high performance computing communities. The award is presented annually in recognition of the candidate’s impact on her chosen field, as indicated by early career achievements and her commitment to growing our community through service and mentorship. The award is presented at the annual SC conference, the HPC community's most prestigious annual gathering.
Dr. Randles received her bachelor’s degree in Physics and Computer Science from Duke University, and her Masters and PhD in Applied Physics and Computational Science from Harvard University, Cambridge, MA. She also served as a CA Fellow at Lawrence Livermore National Laboratory, CA, and worked at IBM developing software for the Blue Gene series.
2023 SIGHPC Fellows Announced
ACM’s Special Interest Group on High Performance Computing (SIGHPC) has announced the six recipients of the ACM SIGHPC Computational and Data Science Fellowships for 2023. The fellowships are highly competitive, and are awarded after a rigorous merit review.
The fellowship program, funded exclusively by SIGHPC, is intended to increase the diversity of students pursuing graduate degrees in data science and computational science, including women as well as students from racial/ethnic backgrounds that have been historically underrepresented in the computing field. The fellowship provides $15,000 annually for study anywhere in the world.
Students were nominated by their graduate advisors. Nominees spanned disciplines from computational biology and data visualization to mechanical engineering and deep learning for quantum systems. They represented large, mid-sized, and small institutions in countries around the world. More than 85% of nominees were female, and 71% identified as an underrepresented minority in their country of study.
2023 Outstanding Doctoral Dissertation Award Winner Dr. Keren Zhou
ACM's Special Interest Group on High Performance Computing (SIGHPC) is pleased to announce that Dr. Keren Zhou has won the 2023 SIGHPC Doctoral Dissertation Award. This award is given each year for the best doctoral dissertation completed in high performance computing (HPC) in the previous year. Nominations were evaluated on the novelty of the work, quality of scholarship, significance of the research contributions, and potential impact on theory and practice. The award includes a $2,000 cash prize, a plaque, and recognition at the International Supercomputing Conference (SC’XY) in November.
Dr. Zhou's dissertation tackled the difficult research problem of understanding the performance of application codes accelerated on graphical processing units (GPUs), through the design and development of innovative techniques for performance instrumentation, measurement, and analysis, particularly in the context of the latest GPU technologies in use on high-end HPC platforms. His work not only made novel contributions to the state of performance art, but the methods have been integrated in real HPC tools and applied in the optimization of real-world heterogeneous HPC applications on modern supercomputers.
Dr. Zhou received his PhD in Computer Science from Rice University in 2022. Following completion of his graduate studies, Dr. Zhou worked as a member of the technical staff at OpenAI. Dr. Zhou will be an Assistant Professor at George Mason University starting in August 2023.