With Saratoga and Del Mar about to kick off, now’s the perfect time to sharpen your skills for one of horse racing’s most exciting bets: the Pick 5. It’s a high-stakes wager that can deliver massive ...

This repository contains the CUDA kernels for general matrix-matrix multiplication (GEMM) and the corresponding performance analysis. The correctness of the CUDA kernels is guaranteed for any matrix ...

IRMSD is a Python library for computing the optimal root-mean-square-deviation between pairs of structures (e.g., protein conformations). It is based on the Theobald QCP method, and because of an ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

PDC Center for High Performance Computing, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden Division of Theoretical Chemistry and Biology, School of Engineering Sciences in Chemistry, ...

Abstract: This letter presents a parallel frequency-domain finite-difference (FDFD) algorithm based on multi-graphic processing unit (GPU) applied to electromagnetic scattering computations to enhance ...

Qualcomm's ' Snapdragon X Elite ' is a PC SoC equipped with 12 'Qualcomm Oryon' CPU cores with a maximum speed of 3.8GHz, a 'Qualcomm Adreno' GPU with a maximum speed of 4.6TFLOPs, and a 'Qualcomm ...

Abstract: Sparse matrix-matrix multiplication is a critical kernel for several scientific computing applications, especially the setup phase of algebraic multigrid. The MPI+X programming model, which ...