Tasks are the most basic unit of parallel programming. An increasing number of programming languages (including Java and C++) are moving from older thread-based approaches to more modern task-based ...

Learn how to compare parallel and distributed computing based on problem characteristics, resource constraints, and performance goals. Find out which approach is best for your situation.

Parallel programming is a subset of concurrent programming that focuses on exploiting the hardware capabilities of multicore processors, distributed systems, or specialized devices, such as GPUs ...

This repository contains my solutions for the weekly lab assignments in the Parallel and Distributed Programming course, taken during the 6th semester of my Applied Informatics studies. Each ...

Parallel and distributed programming is essential for exploiting the processing power of modern computing platforms. However, during the first years of a Computer Science course, students usually ...

Abstract: Compared to sequential programs, the execution behavior of parallel and distributed programs generally is much harder to predict during program development and can sometimes be surprising ...

Parallel programming lets us use resources more effectively -- such as CPU cores or communication channels. There are several good options for parallel code (including Parallel.ForEachAsync and ...

The graph below shows the total number of publications each year in Parallel Programming and Multicore Systems. References [1] Disentanglement with Futures, State, and Interaction .