In the task-parallel model represented by OpenMP, the user specifies the distribution of iterations among processors and then the data travels to the - Read more from Inside HPC & AI News.

Parallel Domain, a startup developing a platform for synthesizing AI model training data, has raised $11 million.

Hammerspace and Parallel Works' unified solution enables customers to orchestrate and run HPC and AI workloads across decentralized compute clusters.

CERN is restarting its Large Hadron Collider (after a two-year massive upgrade) to start working on amazing experiments to reveal the identity of “dark matter” and to search for tiny black ...

Manifold has shipped Radian® Studio, a massively parallel data engineering environment for DBMS and GIS that anyone can afford. Radian automatically runs on thousands of GPU cores plus all CPU core… ...

SAN FRANCISCO, June 19, 2023 — Parallel Domain, a synthetic data platform that enhances perception performance for autonomy and robotics companies, today announced Data Lab, a new API to generate high ...

The MAX3950 is designed to convert 10-Gbps serial data to 16-bit-wide, 622-Mbps parallel data. Its ability to handle FEC data rates make the MAX3950 ideal for a variety of applications ...

New tool from Parallel Domain enhances AI performance in industries such as autonomous vehicles and drones by generating high-quality images.

Alfred Inselberg provided parallel coordinates plots as alternatives to the table of the expenditures data in the Graph Makeover Contest.