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cs.AR2026
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…
cs.AR2025
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…
cs.AR2024
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…