Learn data structures the smart way! Here are 5+1 practical tips to help you understand and master core concepts faster — ...

This important study introduces a Bayesian method to determine bacterial counts that accounts for the experimental noise inherent to dilution and plating methods, and distinguishes it from biological ...

The GEneral Matrix Multiplication (GEMM) is one of the essential algorithms in scientific computing. Single-thread GEMM implementations are well-optimised with techniques like blocking and autotuning.

Sparse Matrix-Vector Multiplication (SpMV) is a fundamental workload of numerous applications. However, for today's high-end superscalar CPUs, such as Intel Xeon series, it is usually difficult to ...

I am working on a project that requires high-performance batched matrix multiplication (i.e., 3D tensor multiplication) where all inputs are stored in the FP8 data type. However, I noticed that ...