37 citations · 58 across the 7 of their papers we have counts for
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cs.AR2021
Phantom: A High-Performance Computational Core for Sparse Convolutional Neural Networks
Mahmood Azhar Qureshi, Arslan Munir
Sparse convolutional neural networks (CNNs) have gained significant traction over the past few years as sparse CNNs can drastically decrease the model size and computations, if exp…
cs.AR2020
NeuroMAX: A High Throughput, Multi-Threaded, Log-Based Accelerator for Convolutional Neural Networks
Mahmood Azhar Qureshi, Arslan Munir
Convolutional neural networks (CNNs) require high throughput hardware accelerators for real time applications owing to their huge computational cost. Most traditional CNN accelerat…
cs.AR2016
Phase distance mapping: a phase-based cache tuning methodology for embedded systems
Tosiron Adegbija, Ann Gordon-Ross, Arslan Munir
Networked embedded systems typically leverage a collection of low-power embedded systems (nodes) to collaboratively execute applications spanning diverse application domains (e.g.,…