A review of AI hardware accelerators covering GPUs, FPGAs, ASICs, neuromorphic processors, and process-in-memory designs, with no new results.
Sapunov, in TPU v2 was unveiled at Google I/O in May 2017 , https://moocaholic.medium.com/hardware-for-deep-learning-part-4-asic-96a542fe6a813948
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AR 1years
2024 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Hardware Accelerators for Artificial Intelligence
A review of AI hardware accelerators covering GPUs, FPGAs, ASICs, neuromorphic processors, and process-in-memory designs, with no new results.