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Cutting-edge codes & resources for parallel computing, optimized algorithms, and efficient data processing in CUDA, OpenCL and OpenMP.

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High Performance Computing Directory

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My High Performance Computing Portfolio

Welcome to my High Performance Computing (HPC) showcase. Here, I've curated a collection of cutting-edge codes and resources that delve into the world of parallel computing, optimized algorithms, and efficient data processing. As a passionate HPC enthusiast, I've crafted this repository to demonstrate my skills and expertise in harnessing the power of high-performance systems to solve complex computational challenges.

What You'll Find Here

In this repository, you will discover a variety of sub-projects that highlight my journey in the realm of high-performance computing. From GPU acceleration and distributed systems to performance optimization and advanced simulations, each sub-project embodies a unique facet of HPC. With meticulously crafted code and comprehensive documentation, I aim to provide not only functional implementations but also valuable insights into the underlying principles.

Getting Started

If you're ready to dive into the world of high-performance computing, start by exploring the sub-projects listed in the repository. Each sub-folder contains its own ReadMe with detailed instructions on how to compile, run, and understand the code. Feel free to experiment, adapt, and expand upon the concepts presented here. Your feedback, suggestions, and contributions are greatly appreciated as we collectively advance the field of HPC.

Connect with Me

I'm excited to connect with fellow enthusiasts, researchers, and learners who share a passion for High Performance Computing. If you have questions, ideas, or simply want to discuss HPC-related topics, don't hesitate to reach out. You can find me on LinkedIn.

Thank you for visiting my HPC portfolio. Let's explore the realm of extreme computational power together!

Momin Ali

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Cutting-edge codes & resources for parallel computing, optimized algorithms, and efficient data processing in CUDA, OpenCL and OpenMP.

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