Abstract: Real-time movie recommendation systems must efficiently handle large amounts of sparse user-item interaction data while maintaining great prediction accuracy. Conventional collaborative ...

Oh, Christmas tree, now is the time of year when you become the centerpiece of homes all over the world. For some, nostalgic Christmas trends are back in style this year, which might mean taking a ...

ABSTRACT: Node renumbering is an important step in the solution of sparse systems of equations. It aims to reduce the bandwidth and profile of the matrix. This allows for the speeding up of the ...

Hand-tuned WebAssembly implementations for efficient execution of web-based sparse computations including Sparse Matrix-Vector Multiplication (SpMV), sparse triangular solve (SpTS) and other useful ...

SpMV-CNN: A set of convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product ...

Matrix Executions, an agency-only broker dealer and trading technology provider, has enhanced its US listed options algorithm technology suite with new price discovery and liquidity-seeking tools. The ...

Abstract: General sparse matrix–matrix multiplication (SpGEMM) is integral to many high-performance computing (HPC) and machine learning applications. However, prior field-programmable gate array ...