75 citations · 206 across the 28 of their papers we have counts for
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cs.AR2023★ 1 cited
Evaluation of STT-MRAM as a Scratchpad for Training in ML Accelerators
Sourjya Roy, Cheng Wang, Anand Raghunathan
Progress in artificial intelligence and machine learning over the past decade has been driven by the ability to train larger deep neural networks (DNNs), leading to a compute deman…
cs.LG2023★ 2 cited
X-Former: In-Memory Acceleration of Transformers
Shrihari Sridharan, Jacob R. Stevens, Kaushik Roy +1
Transformers have achieved great success in a wide variety of natural language processing (NLP) tasks due to the attention mechanism, which assigns an importance score for every wo…