77 citations · 77 across the 2 of their papers we have counts for
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cs.DC2021★ 77 cited
Understanding Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training
Mark Zhao, Niket Agarwal, Aarti Basant +14
Datacenter-scale AI training clusters consisting of thousands of domain-specific accelerators (DSA) are used to train increasingly-complex deep learning models. These clusters rely…
cs.DC2015
The Blacklisting Memory Scheduler: Balancing Performance, Fairness and Complexity
Lavanya Subramanian, Donghyuk Lee, Vivek Seshadri +2
In a multicore system, applications running on different cores interfere at main memory. This inter-application interference degrades overall system performance and unfairly slows…