Search Results for author: Mahmood Azhar Qureshi

Found 2 papers, 0 papers with code

Phantom: A High-Performance Computational Core for Sparse Convolutional Neural Networks

no code implementations9 Nov 2021 Mahmood Azhar Qureshi, Arslan Munir

We also generate a two-dimensional (2D) mesh architecture of Phantom neural computational cores, which we refer to as Phantom-2D accelerator, and propose a novel dataflow that supports all layers of a CNN, including unit and non-unit stride convolutions, and FC layers.

Vocal Bursts Intensity Prediction

NeuroMAX: A High Throughput, Multi-Threaded, Log-Based Accelerator for Convolutional Neural Networks

no code implementations19 Jul 2020 Mahmood Azhar Qureshi, Arslan Munir

The designed core provides a 200% increase in peak throughput per PE count while only incurring a 6% increase in area overhead compared to a single, linear multiplier PE core with same output bit precision.

Unity

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