rolv LLC Launches rolvsparse(c): A New Mathematical Operator That Makes Every Computer on Earth Run AI Faster -- With 99% Less Energy

University of Miami Frost Institute independently confirms 50× speedups and 90--99.9% energy savings across CPUs, GPUs, TPUs, and AI accelerators -- identical SHA-256 verified results on all platforms ...
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 ...
IEEE

Synthesis of Sparse Linear Arrays via Low-Rank Hankel Matrix Completion

Abstract: In this communication, we propose a method to synthesize sparse linear arrays using low-rank Hankle matrix completion. With the given metrics (e.g., peak sidelobe level (PSL), mainlobe width ...