CAREER: Algorithm-Hardware Cross-Layer Design for High-Performance Scientific Data Compres — NSF Award to University of Texas at A
High-performance computing (HPC) enables scientists to simulate and study complex natural phenomena that are difficult or impossible to observe directly, including climate change, astrophysical evolution, fluid motion, and biological processes. These simulations generate enormous volumes of data, often reaching petabyt
| Award title | CAREER: Algorithm-Hardware Cross-Layer Design for High-Performance Scientific Data Compres |
|---|---|
| Award ID | 2544246 |
| Awardee | University of Texas at Arlington |
| City | ARLINGTON |
| State | TX |
| Amount obligated | $347,035 |
| Principal investigator | Miao Yin |
| Program | Software & Hardware Foundation |
| Start date | 06/01/2026 |
| Abstract | High-performance computing (HPC) enables scientists to simulate and study complex natural phenomena that are difficult or impossible to observe directly, including climate change, astrophysical evolution, fluid motion, and biological processes. These simulations generate enormous volumes of data, often reaching petabyte or even exabyte scales, posing severe challenges for storage, data transfer, and I/O performance in HPC systems. While scientific data compression has become essential for enabli |
| Source | NSF Awards |
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