Oct 8, 2025 · 6 min read · Amdahl’s law is most popular in the computer science community, named after Gene Amdahl in 1967. It is said that the more resources we add to a program the faster it goes, but how can we add more resources to the program? Imagine a program as a singl...
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Feb 19, 2025 · 7 min read · Why Do We Need OpenMP? Modern computing is driven by the need for speed and efficiency. With the rise of multi-core processors, software must leverage parallelism to harness their full potential. Traditional sequential programming fails to utilize mu...
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Nov 28, 2024 · 13 min read · Introduction to Parallel Machines: In today’s digital era, parallel computing has revolutionized the way machines process data. By dividing tasks into smaller subtasks that run simultaneously, parallel computing contrasts with the step-by-step approa...
Join discussionAug 5, 2024 · 16 min read · Since the advent of multi-cores x86 CPUs more than 20 years ago, everybody knows that they can do multiple things at once - true multi-tasking instead of the time-slicing trickery - but there are other forms of parallelism that are present, for a lon...
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Feb 19, 2023 · 5 min read · Parallel computing is the use of multiple processors or computers to solve a computational problem simultaneously. The technique has become increasingly popular as a means of accelerating the performance of computationally intensive tasks, such as si...
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Dec 4, 2022 · 5 min read · As a Computer Science student, I was excited to learn about the possibilities of using Google Colab's free cloud platform to run my CUDA and OpenMP code. However, when I tried to use Colab to run my CUDA and OpenMP-accelerated code, I encountered a n...
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