Parallel and distributed computing are two approaches to solving complex problems using multiple processors or machines. They both aim to improve the performance, scalability, and reliability of ...

Parallel and distributed computing offer many benefits, such as faster performance, lower cost, higher availability, and greater flexibility. However, they also have some limitations, such as ...

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 ...

This repository is created for my Parallel and Distributed Computing course. It contains essential materials, code examples, and concepts related to parallelism and distributed systems. The folder ...

As a result, parallel (or high performance) computing was an elective area in the 2001 ACM/IEEE CS Curriculum, and relatively few universities offered undergraduate courses on the subject. However, ...

📘 README - MPI Program Collection This repository includes various MPI-based parallel computing programs, each illustrating key MPI techniques such as point-to-point communication, collective ...

The parallel and distributed computing group is composed of researchers who have interests in many areas, such as hardware systems, networking, programming languages, algorithms and applications. The ...

Abstract: This paper presents the establishment of cluster computing lab at a minority serving institution that aims to provide computing resources to support undergraduate computer science curriculum ...

There are some problems of accelerator simulation (for example, computer design of new accelerator projects, optimization of working machines and quasi-real time accelerator control) which demand high ...

Wentong CAI is a Professor in the College of Computing & Data Science (CCDS) at Nanyang Technological University (NTU), Singapore. He received his Ph.D. in Computer Science from University of Exeter ...