18 citations · 24 across the 7 of their papers we have counts for
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cs.AR2023
Maple: A Processing Element for Row-Wise Product Based Sparse Tensor Accelerators
Midia Reshadi, David Gregg
Sparse tensor computing is a core computational part of numerous applications in areas such as data science, graph processing, and scientific computing. Sparse tensors offer the po…
cs.AR2023
Dynamic Resource Partitioning for Multi-Tenant Systolic Array Based DNN Accelerator
Midia Reshadi, David Gregg
Deep neural networks (DNN) have become significant applications in both cloud-server and edge devices. Meanwhile, the growing number of DNNs on those platforms raises the need to e…
cs.AR2022★ 3 cited
On the RTL Implementation of FINN Matrix Vector Compute Unit
Syed Asad Alam, David Gregg, Giulio Gambardella +2
FPGA-based accelerators are becoming more popular for deep neural network due to the ability to scale performance with increasing degree of specialization with dataflow architectur…