Advanced Topic 43 of 51 Concurrency & Parallelism
Parallel Graph Algorithms
Adapting traversals and shortest paths to many cores.
How it works
Parallel BFS processes frontiers level-synchronously; irregular memory access and skewed degree distributions cause imbalance; frameworks include Pregel and GraphBLAS.
Where it is used
Large-scale graph analytics.
Common pitfall
Poor locality limits scaling.
Where it fits in the course
Parallel Graph Algorithms is topic 43 of 51 in Concurrency & Parallelism, rated Advanced. It follows NUMA. The next topic is Concurrency Testing.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Concurrency & Parallelism quiz.
- Explore the Graph Traversal visualizer: BFS, DFS and Dijkstra on a weighted graph.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Concurrency & Parallelism quiz, and revisit the topic if you miss a question.
Frequently asked questions
What is Parallel Graph Algorithms?
Adapting traversals and shortest paths to many cores. It belongs to Concurrency & Parallelism and is an advanced-level topic.
Where do people use Parallel Graph Algorithms?
Large-scale graph analytics.
What is the most common mistake with Parallel Graph Algorithms?
Poor locality limits scaling.
What should I learn before this topic?
Start with NUMA, the topic just before it in Concurrency & Parallelism.
How can I practice it?
Answer the mini quiz in the interactive lesson, then take the Concurrency & Parallelism quiz. You can also explore Graph Traversal in the Visual Lab.
Is Parallel Graph Algorithms hard to learn?
It is an Advanced topic. Expect to read the explanation more than once and to connect it with earlier topics. Working through a small example by hand helps most.
How long does it take to learn Parallel Graph Algorithms?
Most learners can read the explanation and finish the interactive lesson in under an hour. Fluency comes from applying the idea, so plan a few short practice sessions with the quiz.
Which topics are related to Parallel Graph Algorithms?
NUMA, Concurrency Testing, False Sharing are closely connected. The full list is in the related topics section of this page.
What should I study after Parallel Graph Algorithms?
Continue with Concurrency Testing, the next topic in Concurrency & Parallelism.
Related topics
- NUMA (Concurrency & Parallelism)
- Concurrency Testing (Concurrency & Parallelism)
- False Sharing (Concurrency & Parallelism)
- Deterministic Parallelism (Concurrency & Parallelism)
- Line Drawing Algorithms (Graphics, Vision & Media)
- Graph Theory Basics (Theory & Discrete Math)
- Trees in Graph Theory (Theory & Discrete Math)