High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

GCHQ, the UK’s intelligence agency, released its annual Christmas card on Wednesday, filled with puzzles and hidden codes. The spy agency's "Chief Puzzler", known as "Colin", said the notoriously ...

As Transformer models continue to grow in size and complexity, numerous high-fidelity pruning methods have been proposed to mitigate the increasing parameter count. However, transforming these ...

Instagram is introducing a new feature that gives users more control over the Reels suggestions in their feed. According to Instagram’s blog, the tool is called “Your Algorithm,” which lets users see ...

The HIMAWARI8 satellite image for Jan. 16, 2017, shows cold cloud tops and deep convection attributed to a shear line, indicated by the white dotted line. Shear lines account for up to 20 percent of ...

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

Abstract: Distributed Energy Resources (DERs) are important components of the smart grid architecture. They play a major role in utilizing renewable energy resources and realizing the benefits of ...