CRII: SHF: A Flexible, Learning-Enabled, and Multi-layer Interconnection Architecture for — NSF Award to University of North Carol
The rapid scaling of technology has led to the growth of parallel systems that integrate an increased number of cores per chip. For contemporary computer systems, this trend has signified a paradigm shift from computation-centric to communication-centric design methodologies. Consequently, enhancing security, reliabili
| Award title | CRII: SHF: A Flexible, Learning-Enabled, and Multi-layer Interconnection Architecture for |
|---|---|
| Award ID | 2245950 |
| Awardee | University of North Carolina at Charlotte |
| City | CHARLOTTE |
| State | NC |
| Amount obligated | $174,734 |
| Principal investigator | Ke Wang |
| Program | Software & Hardware Foundation |
| Start date | 05/01/2023 |
| Abstract | The rapid scaling of technology has led to the growth of parallel systems that integrate an increased number of cores per chip. For contemporary computer systems, this trend has signified a paradigm shift from computation-centric to communication-centric design methodologies. Consequently, enhancing security, reliability, performance, and energy efficiency of Network-on-Chips (NoCs) architectures is proving to be one of the most critical design challenges to realizing the performance potential o |
| Source | NSF Awards |
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