Parallel Computing Courses and Certifications

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

Leveraging Windows PowerShell Jobs

This course is designed to introduce an IT professional to the jobs feature of Windows PowerShell. You will learn how to use background, thread, and scheduled jobs to do more with PowerShell in less time.

• Pluralsight
• 2 hours
• On-Demand
• Free Trial Available

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

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

ACM SIGPLAN

De/Re-Composition of Data-Parallel Computations via Multi-Dimensional Homomorphism - PLDI 2024

Explore a systematic approach for efficient (de/re)-composition of data-parallel computations using Multi-Dimensional Homomorphisms, applicable to various architectures and outperforming state-of-the-art solutions.

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

ACM SIGPLAN

The Best Multicore-Parallelization Refactoring You've Never Heard Of

Discover a powerful, lesser-known refactoring technique for optimizing multicore parallelization in software development.

• YouTube
• 39 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

Dyalog User Meetings

Scheduling Array Operations for GPU and Distributed Computing

Explore array operation scheduling for optimized execution across hardware. Learn about static scheduling, type theory, and parallelization for GPUs and distributed computing.

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

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)

Tiny Functions for Codecs, Compilation, and - Maybe - Soon Everything

Exploring the potential of tiny, pure functions in improving network systems, video codecs, and cloud computing, with real-world examples and future applications.

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

NVIDIA GPU Computing - A Journey from PC Gaming to Deep Learning

Explore NVIDIA GPU's evolution from gaming to deep learning, covering key architectures and applications in supercomputing, data centers, and autonomous vehicles.

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

Stanford Seminar - Dataflow for Convergence of AI and HPC - GroqChip

Explore dataflow history, AI-HPC convergence, and Groq's tensor streaming processor architecture. Learn about stream programming, deterministic execution, and distributed scale-out systems for efficient deep learning computations.

• YouTube
• 1 hour 46 minutes
• On-Demand
• Free Video