Filtered by: Design × Clear all

A Flexible Sparsity-Aware FPGA Accelerator with Column-Wise Compression for Efficient CNN Inference

Amirhossein Zarei, Shervin Vakili 2026-07-25
Microarchitecture Simulation Sparsity Accelerator Inference Neural Network Hardware

Efficient acceleration of convolutional neural networks (CNNs) on resource-constrained platforms remains challenging due to the irregularity of sparsity patterns and the associated hardware overhead. While unstructured sparsity offers high model accuracy, it introduces significant inefficiencies in.

PDF

DGNA: Dissecting GPU NUMA Architecture through Microbenchmarking and Data Analysis

Changxi Liu, Yun Chen, Trevor E. Carlson 2026-07-25
Microarchitecture Simulation GPU Architecture Data Workload Hardware Design ×

Graphics Processing Units (GPUs), due to their immense parallel processing capabilities, have become essential across various fields, including gaming and artificial intelligence. With significant advancements in GPU cores, GPU memory efficiency has lagged, resulting in bottlenecks that can limit.

PDF