4 citations · 5 across the 4 of their papers we have counts for
4 papers
Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks
Jingkai Hong, Arash Fayyazi, Amirhossein Esmaili +2
Recent efforts to improve the performance of neural network (NN) accelerators that meet today's application requirements have given rise to a new trend of logic-based NN inference…
Better Than Worst-Case Decoding for Quantum Error Correction
Gokul Subramanian Ravi, Jonathan M. Baker, Arash Fayyazi +4
The overheads of classical decoding for quantum error correction on superconducting quantum systems grow rapidly with the number of logical qubits and their correction code distanc…
Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis
Soheil Nazar Shahsavani, Arash Fayyazi, Mahdi Nazemi +1
Recent efforts for improving the performance of neural network (NN) accelerators that meet today's application requirements have given rise to a new trend of logic-based NN inferen…
Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators
Jung Hwan Heo, Arash Fayyazi, Amirhossein Esmaili +1
This paper introduces the sparse periodic systolic (SPS) dataflow, which advances the state-of-the-art hardware accelerator for supporting lightweight neural networks. Specifically…