The addition of multiple cores to microprocessors has created a significant opportunity for parallel programming, but a killer application is needed to push the concept into the mainstream, ...

In this slidecast, Torsten Hoefler from ETH Zurich presents: Data-Centric Parallel Programming. The ubiquity of accelerators in high-performance computing has driven programming complexity beyond the ...

Students will be able to analyze the computing and memory architecture of a super computing node and use OpenMP directives to improve vectorization of their programs. This module focuses on the key ...

Huge volumes of data need near-supercomputer power to process and analyze it all. You can get there with the .NET Task Parallel Library. As Web and mobile applications face the challenge of quickly ...

Hammerspace, the company orchestrating the next data cycle, and Parallel Works, provider of the ACTIVATE control plane for AI and HPC resources, are collaborating on a unified solution for compute and ...

In-memory data grid (IMDG) specialist Hazelcast Inc. yesterday launched a new distributed processing engine for Big Data streams. The open-source, Apache 2-licenced Hazelcast Jet is designed to ...

SAN MATEO, Calif.--(BUSINESS WIRE)--Hammerspace, the company orchestrating the next data cycle, and Parallel Works, provider of the ACTIVATE control plane for AI and HPC resources, today unveiled a ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...