IEEE

ScanNow: A Scan Window-Based Sparse Matrix Multiplication Accelerator Design

Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...
GitHub

Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding Transformer

Official repository for the AAAI2025 paper Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding ...
IEEE

MdCSR: A Memory-Efficient Sparse Matrix Compression Format

Abstract: Efficient representation of sparse matrices is critical for reducing memory usage and improving performance in hardware-accelerated computing systems. This letter presents memory-efficient ...
Seeking Alpha

Here's Why Pfizer Is Willing To Pay $500 Million For Novavax's Matrix-M

Novavax secures a non-exclusive licensing deal with Pfizer, validating Matrix-M's platform value and shifting NVAX toward a technology provider model. NVAX receives $30M upfront, a potential $500M in ...