HPC Algorithm Optimizations

This repository contains implementations of algorithms optimized for High-Performance Computing (HPC) environments. The focus is on accelerating computation using various parallel programming models and architectures.

⚡ Ongoing project: New algorithms and optimizations are added regularly.

Features

• Optimized compute kernels for CUDA (GPU programming)
• Parallel implementations using OpenMP (shared-memory parallelism)
• Distributed computing with MPI
• SIMD-based optimizations for vectorized computation
• Examples of accelerated algorithms for common HPC workloads

Getting Started

Clone the repository:

git clone https://github.com/chrinovicmu/hpc-lab.git