4 citations · 4 across the 4 of their papers we have counts for
5 papers
MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA
Muhammad Usman, Malik Zohaib Nisar, Florian Aschauer +1
We present MINT, a dynamic-precision CNN inference accelerator based on left-to-right (LR) arithmetic. LR arithmetic computes in most-significant-digit-first manner and exposes use…
DSLR-CNN: Efficient CNN Acceleration using Digit-Serial Left-to-Right Arithmetic
Malik Zohaib Nisar, Muhammad Sohail Ibrahim, Saeid Gorgin +2
Digit-serial arithmetic has emerged as a viable approach for designing hardware accelerators, reducing interconnections, area utilization, and power consumption. However, conventio…
L2R-CIPU: Efficient CNN Computation with Left-to-Right Composite Inner Product Units
Malik Zohaib Nisar, Mohammad Sohail Ibrahim, Muhammad Usman +1
This paper proposes a composite inner-product computation unit based on left-to-right (LR) arithmetic for the acceleration of convolution neural networks (CNN) on hardware. The eff…
DSLOT-NN: Digit-Serial Left-to-Right Neural Network Accelerator
Muhammad Sohail Ibrahim, Muhammad Usman, Malik Zohaib Nisar +1
We propose a Digit-Serial Left-tO-righT (DSLOT) arithmetic based processing technique called DSLOT-NN with aim to accelerate inference of the convolution operation in the deep neur…
Low Cost 3D Printing for Rapid Prototyping and its Application
Taha Hasan Masood Siddique, Iqra Sami, Malik Zohaib Nisar +3
In the recent years of industrial revolution, 3D printing has shown to grow as an expanding field of new applications. The low cost solutions and short time to market makes it a fa…