MRI Consortium: Track 1: Development of SPECTRUM: An Evolutionary Rapid-Prototyping Testbe — NSF Award to Syracuse University (NY,
As artificial intelligence (AI) expands into fields such as healthcare, robotics, and energy distribution, there is growing demand for faster, cost-effective ways to prototype AI hardware. Graphics processing units (GPUs) offer high throughput but often struggle to meet the low latency needed for real-time decisions. F
| Award title | MRI Consortium: Track 1: Development of SPECTRUM: An Evolutionary Rapid-Prototyping Testbe |
|---|---|
| Award ID | 2511445 |
| Awardee | Syracuse University |
| City | SYRACUSE |
| State | NY |
| Amount obligated | $1,199,000 |
| Principal investigator | Alex Jones |
| Program | Major Research Instrumentation, CISE Research Resources |
| Start date | 10/01/2025 |
| Abstract | As artificial intelligence (AI) expands into fields such as healthcare, robotics, and energy distribution, there is growing demand for faster, cost-effective ways to prototype AI hardware. Graphics processing units (GPUs) offer high throughput but often struggle to meet the low latency needed for real-time decisions. Field-programmable gate arrays (FPGAs) provide lower latency but can substantially sacrifice throughput. The key challenge is mapping AI algorithms to the right accelerator. The SPE |
| Source | NSF Awards |
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