4 citations · 4 across the 3 of their papers we have counts for
3 papers
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★ 4 cited
LOCAL: Low-Complex Mapping Algorithm for Spatial DNN Accelerators
Midia Reshadi, David Gregg
Deep neural networks are a promising solution for applications that solve problems based on learning data sets. DNN accelerators solve the processing bottleneck as a domain-specifi…