Parallel Algorithms Courses and Certifications

Association for Computing Machinery (ACM)

Faster Parallel Algorithm for Approximate Shortest Path

Explore advanced techniques for optimizing parallel algorithms to compute approximate shortest paths, focusing on transshipment, Sherman's framework, and oblivious routing.

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

Simons Institute

Faster Parallel Algorithms for Basic Linear Algebra Problems

Explore advanced parallel algorithms for fundamental linear algebra, enhancing computational efficiency in mathematical problem-solving.

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

Simons Institute

Parallel Algorithms for Local Problems in Sparse Graphs

Explore efficient parallel algorithms for locally checkable problems in sparse graphs, focusing on techniques beyond graph sparsification for improved performance in sublinear regimes.

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

High Performance Computing

This course will give you solid foundations for developing, analyzing, and implementing parallel and locality-efficient algorithms. Offered at Georgia Tech as CS6220

• Udacity
• 16 weeks
• On-Demand
• Free Online Course

Parallel programming

6 reviews

Apprenez les fondamentaux de la programmation parallèle, de la parallélisation des tâches à celle des données. Maîtrisez les collections parallèles et appliquez ces concepts à travers des exemples pratiques analysant des données réelles.

• Coursera
• 1 day 8 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

Distributed Systems & Cloud Computing with Java

2871 ratings at Udemy

Learn Distributed Java Applications at Scale, Parallel Programming, Distributed Computing & Cloud Software Architecture

• Udemy
• 7 hours 35 minutes
• On-Demand
• Paid Course

Learn Multithreading with Modern C++

1318 ratings at Udemy

Learn how to write portable threaded C++ code which unleashes the power of modern multi-processor hardware!

• Udemy
• 8 hours 47 minutes
• On-Demand
• Paid Course

Learn CUDA with Docker!

21 ratings at Udemy

Learrn to Code with CUDA with GPGPU-Simulators & Docker, Kickstart Your Computing and Data Science Career!

• Udemy
• 2-3 hours
• On-Demand
• Paid Course

Packt

Java Multithreading and Parallel Programming Masterclass

Master Java multithreading and parallel programming. Learn thread management, synchronization, reusability, and real-world applications. Tackle famous problems and optimize performance in modern frameworks.

• Coursera
• 11 hours 2 minutes
• On-Demand
• Free Online Course (Audit)

Advanced Database Systems - Spring 2019

1 review

Comprehensive exploration of advanced database systems, covering in-memory databases, concurrency control, indexing, storage models, query processing, and optimization techniques for modern DBMS architectures.

• YouTube
• 1 day 8 hours
• On-Demand
• Free Video

Advanced Database Systems - Spring 2018

Explore advanced database systems, covering in-memory databases, query optimization, concurrency control, indexing, storage models, logging, and parallel execution techniques for high-performance data management.

• YouTube
• 1 day 7 hours
• On-Demand
• Free Video

NDC Conferences

C++ Parallel Programming Models

Explore C++'s parallel programming models: unstructured, task-based, and data parallel. Learn key facilities, use cases, and recent features for efficient parallel programming in modern C++.

• YouTube
• 50 minutes
• On-Demand
• Conference Talk

CUDA Tutorials

Learn to program NVIDIA GPUs with CUDA, covering basics, kernels, memory, parallel algorithms, shared memory, and the Thrust library for efficient GPU computing.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

Java

Data Parallel Programming - Concepts and Challenges in Java

Explore data parallel computing techniques, array operations, and Java VM virtualization. Learn about multi-threading challenges, data partitioning strategies, and GPU thread concepts.

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

IEEE

Conditional Hardness Results for Massively Parallel Computation from Distributed Lower Bounds

Explore conditional hardness results in massively parallel computation, derived from distributed lower bounds. Gain insights into theoretical computer science and parallel algorithms.

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