Chemical process simulations are crucial for optimizing industrial operations, but they often require significant ...

Parallel computing for differential equations has emerged as a critical field in computational science, enabling the efficient simulation of complex physical systems governed by ordinary and ...

It is crucial for Python to provide high-performance parallelism. This talk will expose to both data-scientists and library developers the current state of affairs and the recent advances for parallel ...

The demonstration will show how parallel computing can be used in research and how to gain access to supercomputing resources at MSU. These resources include access to hardware but also access to ...

AWS Parallel Computing Service builds from open-source foundations that customers know and have experience with, and delivers a managed Slurm experience with the reliability and availability of AWS.

Pingali received a certificate and a $1,000 honorarium for his contributions to parallel computing. In May of 2023, he will attend a conference in Florida to present his work.

AWS Parallel Computing Service is a new managed service that helps customers easily set up and manage HPC so they can run scientific and engineering workloads at virtually any scale on AWS. With AWS ...

Parallel computing has been hyped for years as the next big thing in technology, but the time has come, Microsoft, Intel and the universities said, to make it a reality.

Many attempts have been made over the last 46 years to rewrite Amdahl's law, a theory that focuses on performance relative to parallel and serial computing. One scientist hopes to prove that ...

Just back from the Edinburgh Parallel Computing Centre (EPCC), where I had a most interesting conversation with some of the people behind the Maxwell experimental high performance computer. That's ...

Parallel Computing for Differential Equations Publication Trend The graph below shows the total number of publications each year in Parallel Computing for Differential Equations.