Last Friday, I wrote some special coverage for my TAZR Trader members on the SIGGRAPH computer vision event that NVIDIA (NVDA ) attended in Vancouver. I include those notes below under "Robots From ...

Sparse tensor operations are increasingly important in diverse applications such as social networks, deep learning, diagnosis, crime, and review analysis. However, a major obstacle in sparse tensor ...

In this week's It’s Debatable article, Rick Rosen and Charles Moster debate whether we're all living in a computer simulation like the Matrix. Rosen retired as a professor from the Texas Tech ...

The dynamic evolution of effective stress and pore water pressure is a key scientific issue of study in the field of seepage-stress coupling in geotechnical engineering. To address the imbalance in ...

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 ...

A new technical paper titled “Simulation of Vertically Stacked 2-D Nanosheet FETs” was published by researchers at Università di Pisa and TU Wien. “We present a simulation study of vertically stacked ...

Abstract: The sparse matrix solver has become a bottleneck in simulation program with integrated circuit emphasis (SPICE)-like circuit simulators. It is difficult to parallelize the solver because of ...