3 papers
cs.AR2026
Accelerating CRONet on AMD Versal AIE-ML Engines
Kaustubh Mhatre, Vedant Tewari, Aditya Ray +4
Topology optimization is a computational method used to determine the optimal material distribution within a prescribed design domain, aiming to minimize structural weight while sa…
cs.AR2025
GAMA: High-Performance GEMM Acceleration on AMD Versal ML-Optimized AI Engines
Kaustubh Mhatre, Endri Taka, Aman Arora
General matrix-matrix multiplication (GEMM) is a fundamental operation in machine learning (ML) applications. We present the first comprehensive performance acceleration of GEMM wo…
cs.AR2025
Systolic Sparse Tensor Slices: FPGA Building Blocks for Sparse and Dense AI Acceleration
Endri Taka, Ning-Chi Huang, Chi-Chih Chang +3
FPGA architectures have recently been enhanced to meet the substantial computational demands of modern deep neural networks (DNNs). To this end, both FPGA vendors and academic rese…