Survival of the Fittest Amidst the Cambrian Explosion of Processor Architectures for Artificial Intelligence : Invited Paper
2021 IEEE/ACM Programming Environments for Heterogeneous Computing (PEHC)(2021)
摘要
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-...
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Training,Analytical models,Biological system modeling,Computational modeling,Neural networks,Ecosystems,Computer architecture
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