CNS Core:Small:A HW/SW Codesign Framework For Dynamic Composition of Disaggregated Hardwar — NSF Award to University of California
Traditionally datacenters and high performance computing (HPC) facilities increase compute capacity by adding additional servers, which is increasingly becoming inefficient since emerging workloads exhibit very high peak to average memory requirements. Moreover, the fundamental building blocks of a modern data centers
| Award title | CNS Core:Small:A HW/SW Codesign Framework For Dynamic Composition of Disaggregated Hardwar |
|---|---|
| Award ID | 2225882 |
| Awardee | University of California-Davis |
| City | DAVIS |
| State | CA |
| Amount obligated | $599,939 |
| Principal investigator | Venkatesh Akella |
| Program | CSR-Computer Systems Research |
| Start date | 10/01/2022 |
| Abstract | Traditionally datacenters and high performance computing (HPC) facilities increase compute capacity by adding additional servers, which is increasingly becoming inefficient since emerging workloads exhibit very high peak to average memory requirements. Moreover, the fundamental building blocks of a modern data centers and HPC facilities (the processors) are becoming increasingly specialized with dedicated hardware for vector/tensor processing, deep learning, different memory pools such as DRAM, |
| Source | NSF Awards |
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