OpenMP Courses and Certifications

Fortran with OpenMP

Learn to implement OpenMP parallel programming in Fortran, from threads and race conditions to scheduling, synchronization, clauses, and speed-up analysis.

• YouTube
• 6 hours
• Self-Paced
• Free Video

NHR@FAU

Asynchronous MPI Communication with OpenMP Tasks - Spawning Task Dependency Graphs Across Nodes

Explore asynchronous MPI communication with OpenMP tasks to improve parallel code scalability. Learn to integrate MPI detached communication for real asynchronous execution across processes.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Exploit Parallelism for AI Workloads with WASM and OpenMP

Explore optimizing AI workloads using WebAssembly and OpenMP for multithreaded, shared memory, and vectorized operations, focusing on challenges and benefits in cloud computing environments.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

LinaroOrg

Linaro Forge Thread Affinity Advisor - Optimizing the Performance of Your MPI OpenMP Jobs

Discover how to optimize MPI/OpenMP job performance with Linaro Forge's Thread Affinity Advisor, focusing on proper thread affinity configuration to prevent silent performance degradation, especially when porting to new systems.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Multicore and GPGPU Programming

Build high-performance parallel applications with Pthreads, OpenMP, MPI, and CUDA, tuning locks, memory hierarchies, warp execution, and workload balance across multicore CPUs and GPUs.

• Coursera
• 10 weeks, 6 hours a week
• Self-Paced
• Paid Course

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Multicore and GPGPU Programming

Build high-performance parallel programs: multicore architectures, NUMA and caching, Pthreads locks and shared-memory data structures, OpenMP, MPI, and CUDA execution and memory models.

• Coursera
• 12 weeks, 6 hours a week
• Self-Paced
• Paid Course

IIT Kharagpur;  NPTEL

High Performance Computing for Scientists and Engineers

Introduces parallel scientific computing through OpenMP, MPI, and CUDA, with matrix solvers, GPU kernels, and performance evaluation.

• Swayam
• 8 weeks
• Available until Oct 9, 2026
• Free Online Course

Learn modern Fortran programming through parallel computing with OpenMP, OpenACC, CUDA Fortran, and MPI.

• Independent
• Self-Paced
• Free Online Course

NHR@FAU

Parallel Programming 2020

Master OpenMP and MPI programming techniques for high-performance computing through comprehensive lectures covering computer architecture, parallelism concepts, and hybrid programming approaches.

• YouTube
• 12 hours 30 minutes
• Self-Paced
• Free Video

IIT Delhi;  NPTEL

Introduction to Parallel Programming in OpenMP

Learn shared-memory parallel programming with OpenMP and C, including tasks, synchronization, blocked matrix multiplication, and BLAS-oriented algorithms for multicore systems.

• Swayam
• 4 weeks
• Not Currently Offered
• Free Online Course

CppCon

C++ Performance Portability - A Decade of Lessons Learned - Lecture

Explore a decade of C++ performance portability challenges and solutions, focusing on Kokkos ecosystem development for efficient cross-platform scientific computing.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

CppNow

Making a Program Faster - Multithreading and Automatic Compiler Vectorization

Master multithreading with OpenMP and compiler autovectorization techniques to dramatically boost C++ program performance in just 90 minutes.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Pathfinder to GPU Offload in WASM

Explore GPU offloading in WebAssembly for AI workloads, discussing integration challenges and potential solutions to enhance security and performance in cloud environments.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Advanced Cyberinfrastructure Training at RPI

Exascale Computing: From Shared Memory to GPU Architecture

Explore exascale computing, HPC architectures, and GPU programming with Dr. Meifeng Lin from Brookhaven National Laboratory.

• YouTube
• 1 hour 34 minutes
• Self-Paced
• Free Video

NHR@FAU

LLVM in HPC - Enabling Performance Portability, Interoperability, and Novel Features - Part 1

Explore LLVM's impact on HPC, covering portable CUDA, debugging at scale, GPU execution of legacy code, and ML in compilers. Learn about efforts to enhance performance, tooling, and development in HPC.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video