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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

Understanding Data Engineering

214 ratings at DataCamp

Discover how data engineers lay the groundwork that makes data science possible. No coding involved!

• DataCamp
• 2 hours
• Self-Paced
• Free Trial Available

Introduction to Data Engineering

28 ratings at DataCamp

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Parallel Programming with Dask in Python

Learn how to take the Python workflows you currently have and easily scale them up to large datasets without the need for distributed computing environments.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Parallel Programming with Dask in Python

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Creating Robust Workflows in Python

Learn to develop a set of principles for your data science and software development projects.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

R Developer

Gain the career-building skills you need to succeed as an R Developer by learning to write and package code efficiently. No coding experience needed!

• DataCamp
• 2 days 4 hours
• Self-Paced
• Free Trial Available

Parallel Programming in R

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Nvidia

Parallel Nsight 2.0 and CUDA 4.0 for GPU Computing - SIGGRAPH 2011

Explore GPU computing with CUDA 4.0 and Parallel Nsight 2.0, integrated into Visual Studio for enhanced graphics and parallel application development.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

EuroPython Conference

Parallel Computing in Python - Current State and Recent Advances

Explore Python's parallel computing landscape, from low-level interfaces to high-level libraries, and learn about recent advances in shared memory management and object serialization.

• YouTube
• 30 minutes
• Self-Paced
• Conference Talk