Dr. Hoefler’s research aims at understanding the performance of parallel computing systems ranging from parallel computer architecture through parallel programming to parallel algorithms. He is also ...

As the complexity and scale of scientific, AI, and simulation workloads continue to grow, modern high-performance computing (HPC) systems are evolving into ...

Hadoop with MapReduce combines some of the best features of both distributed computing and concurrent programming with a hefty dose of parallel programming thrown in for good measure. Chuck Lam, ...

Broadcom Inc. (NASDAQ: AVGO), a semiconductor and infrastructure software company, today announced it is now shipping - Read ...

Concurrent and parallel systems form the bedrock of modern computational infrastructures, enabling vast improvements in processing speed, efficiency and scalability. By orchestrating multiple ...

Intel OPA is designed to reduce network costs (Image courtesy Intel [2]) Machine learning is but one example of a tightly coupled distributed computation where the small message traffic generated by a ...

It, too, is a library for distributed parallel computing in Python, with a built-in task scheduling system, awareness of Python data frameworks like NumPy, and the ability to scale from one ...

Microsoft have confirmed that they have acquired Interactive Supercomputing (ISC), a desktop parallel computing specialist. The company plan to integrate ISC's technology into its desktop and ...