Collaborative Research: Frameworks: IOWarp: Bending the I/O Fabric for Advancing AI-Infuse — NSF Award to University of Utah (UT,
Scientific discovery is increasingly driven by massive, complex datasets that hold the keys to unlocking new knowledge and solving global challenges. However, the current landscape of data storage and management is struggling to keep pace with this data deluge. IOWarp is designed to create a next-generation data manage
| Award title | Collaborative Research: Frameworks: IOWarp: Bending the I/O Fabric for Advancing AI-Infuse |
|---|---|
| Award ID | 2411319 |
| Awardee | University of Utah |
| City | SALT LAKE CITY |
| State | UT |
| Amount obligated | $999,943 |
| Principal investigator | Jacob Hochhalter |
| Program | Software Institutes |
| Start date | 08/01/2024 |
| Abstract | Scientific discovery is increasingly driven by massive, complex datasets that hold the keys to unlocking new knowledge and solving global challenges. However, the current landscape of data storage and management is struggling to keep pace with this data deluge. IOWarp is designed to create a next-generation data management platform tailored to the unique needs of modern, data-intensive science. This platform will address the fundamental challenges that researchers face when dealing with diverse |
| Source | NSF Awards |
$799/mo
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