The Parallel & Distributed Computing Lab (PDCL) conducts research at the intersection of high performance computing and big data processing. Our group works in the broad area of Parallel & Distributed ...

At a fundamental level, distributed computing and concurrent programming are simply descriptive terms that refer to ways of getting work done at runtime (as is parallel processing, another term that’s ...

COURSE GOALS: To provide an introduction to the field of parallel computing. The goals are to provide an overview of the three basic types of parallel computing: shared memory, distributed memory ...

To improve computational efficiency, the algorithm employs a distributed computing framework, efficiently distributing computational tasks across multiple computing units. Through a parallel ...

The complexity of HPC is a barrier to wider adoption: While parallel computing and distributed architectures require technical expertise, ...

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 ...

Distributed computing and systems software form the critical backbone of modern digital infrastructures by enabling a network of autonomous computers to work collaboratively. This paradigm ...

Distributed computing is as old as the hills. This technique started being used across the Internet for public distributed computing projects only in 1997 with distributed.net .

In this process, MicroAlgo's multi-simulator collaborative algorithm takes advantage of distributed computing. The distributed computing framework not only fully utilizes the computational ...