Name
Title | ||
|---|---|---|
Survival of the Fittest Amidst the Cambrian Explosion of Processor Architectures for Artificial Intelligence : Invited Paper |
Abstract | ||
|---|---|---|
The need for high performance computing in data-driven artificial intelligence (AI) workloads has led to the Cambrian explosion of processor architectures. As these novel processor architectures aim to evolve and thrive inside datacenters and cloud-services, we need to understand different figures-of-merit for device-, server- and rack-scale systems. Towards that goal, we share early-access hands-... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/PEHC54839.2021.00010 | 2021 IEEE/ACM Programming Environments for Heterogeneous Computing (PEHC) |
Keywords | DocType | ISBN |
Training,Analytical models,Biological system modeling,Computational modeling,Neural networks,Ecosystems,Computer architecture | Conference | 978-1-7281-8676-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sreenivas R. Sukumar | 1 | 0 | 0.34 |
| Jacob A. Balma | 2 | 0 | 0.34 |
| Cong Xu | 3 | 1154 | 48.25 |
| Sergey Serebryakov | 4 | 2 | 2.06 |