This repository contains a collection of High-Performance Computing (HPC) benchmarks, focusing on evaluating the performance of supercomputers and parallel computing systems. The benchmarks cover various aspects of HPC, including computational speed, memory bandwidth, and data-intensive processing.

• Description: Measures the floating-point computing power, primarily for solving linear equations. Basis for the TOP500 list.
• Useful for: Evaluating peak computational performance.

• Description: Complements LINPACK by testing performance on a broader set of computational tasks, including sparse matrix operations.
• Useful for: Assessing performance on real-world applications.

• Description: Developed by NASA, evaluates the performance of parallel supercomputers using various tests, including computational fluid dynamics simulations.
• Useful for: Benchmarking parallel computing systems with MPI and OpenMP.

• Description: Measures sustainable memory bandwidth and computation rate for simple vector kernels.
• Useful for: Assessing the memory subsystem performance.

• Description: Focuses on data-intensive workloads and evaluates performance in processing large graphs.
• Useful for: Benchmarking systems for applications in cybersecurity, medical informatics, and social network analysis.

• Description: A suite of benchmarks to evaluate the performance of MPI implementations on parallel systems.
• Useful for: Standardized benchmarking of MPI performance.

• Description: Designed to assess the performance of systems using OpenMP for shared-memory parallelism.
• Useful for: Benchmarking OpenMP performance.

• Description: A proxy application that simulates hydrodynamics, used to evaluate performance in handling complex physics calculations.
• Useful for: Testing HPC systems on physics-based simulations.

Each benchmark directory contains source code, documentation, and instructions for compilation and execution. Please refer to the individual README files within each benchmark directory for detailed usage information.

Contributions to this repository are welcome. Please submit a pull request or open an issue to suggest improvements or add new benchmarks.

This repository is licensed under the MIT License. See the LICENSE file for details.