4 citations · 4 across the 5 of their papers we have counts for
6 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…
3D Object Localization Using 2D Estimates for Computer Vision Applications
Taha Hasan Masood Siddique, Muhammad Usman
A technique for object localization based on pose estimation and camera calibration is presented. The 3-dimensional (3D) coordinates are estimated by collecting multiple 2-dimensio…
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…