Abstract: Karatsuba-like multiplication is one of the most efficient multiplication algorithms, but is mostly avoided due to complex sub-multiplications. This paper introduces FPGA-based optimized ...

Studying the epic journey of the iconic jumping plumber can lead to new insights in theoretical computer science—and may help ...

This manuscript represents a valuable contribution to understanding motion processing in the visual cortex. Based on a heterogeneous collection of previous empirical findings, the authors show that ...

Algorithms are everywhere, even when we do not notice them. They help us search the web, navigate roads, and discover new content online. Understanding how algorithms work is one of the simplest ways ...

Kharizmi helped solidify the concept of algorithms in mathematics and popularized algebra and the use of the zero.

Abstract: General sparse matrix-matrix multiplication (SpGEMM) is a fundamental computational method with wide-ranging applications in scientific simulations, machine learning, and image processing.