Parallel Computing Courses and Certifications

Introducing Chapel: A Programming Language for Productive Parallel Computing from Laptops to Supercomputers

Explore Chapel, a programming language for efficient parallel computing across devices. Learn key features and applications in aerodynamics, data science, and atmospheric research.

• YouTube
• 43 minutes
• On-Demand
• Free Video

Parallel Computing in R

This course covers in detail the tools available in R for parallel computing.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Concurrency, Multithreading and Parallel Computing in Java

3631 ratings at Udemy

Multithreading and Concurrency, Parallel Computation and MapReduce in Java + Fork-Join and Stream API, Virtual Threads

• Udemy
• 12 hours 11 minutes
• On-Demand
• Paid Course

Introduction to High-Performance and Parallel Computing

140 ratings at Coursera

Explore high-performance computing fundamentals, from Linux basics to parallel programming models. Gain skills in big-data analysis, machine learning, and code optimization for scientific and engineering applications.

• Coursera
• 14 hours 3 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Linear Models and Matrix Algebra

12 reviews

Learn to use R programming to apply linear models to analyze data in life sciences.

• edX
• 4 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Explore superscalar processors, instruction pipelining, and data-level parallelism techniques like vector processing and GPUs to enhance computational efficiency and throughput.

• Codecademy
• 1 hour
• On-Demand
• Free Trial Available

Learn strategies for optimizing single-core performance and explore parallel computing techniques including multithreading, distributed computing, and GPU utilization.

• JuliaAcademy
• 4-5 hours
• On-Demand
• Free Online Course

Parallel Computing Video Series: Wolfram U

Explore optimization techniques and parallel programming in Wolfram Language. Master single-kernel optimization, multi-kernel utilization, and cluster management for enhanced computational efficiency.

• Wolfram U
• 1 hour
• On-Demand
• Free Online Course

Nvidia

Advanced OpenACC Profiling - Lecture 1

Explore advanced OpenACC profiling techniques, focusing on accelerating applications, using profiling tools, and optimizing seismic data processing workflows for improved performance.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

IEEE

Exponentially Faster Massively Parallel Maximal Matching

Discover advanced techniques for optimizing parallel maximal matching algorithms, enhancing efficiency and scalability in large-scale data processing.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Simons Institute

Massively Parallel Evaluation of Relational Queries I

Explore advanced techniques for parallel processing of relational database queries, focusing on fine-grained complexity and efficient evaluation strategies.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Scalable Parallel Computing Lab, SPCL @ ETH Zurich

Streaming Task Graph Scheduling for Dataflow Architectures

Explore efficient scheduling techniques for dataflow architectures using canonical task graphs, steady-state analysis, and spatial block partitioning to optimize performance and device utilization.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Scalable Parallel Computing Lab, SPCL @ ETH Zurich

HPVM: Performance, Programmability and Retargetability for Heterogeneous Parallel Systems

Explore HPVM's approach to programming heterogeneous parallel systems, focusing on performance, ease of use, and retargetability across diverse hardware targets.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

ACM SIGPLAN

Work Assisting - Linking Task-Parallel Work Stealing with Data-Parallel Self Scheduling

Explore a novel scheduling strategy for mixing data and task parallelism, preserving data parallelism structure while enabling flexible thread distribution and self-scheduling for improved performance.

• YouTube
• 25 minutes
• On-Demand
• Free Video

ACM SIGPLAN

Zero-Overhead Parallel Scans for Multi-Core CPUs - ARRAY 2024

Explore efficient parallel scans for multi-core CPUs, achieving zero overhead and improved single-threaded performance in array languages.

• YouTube
• 25 minutes
• On-Demand
• Free Video