Learning Path

Parallel and Distributed Computing

HPC Fundamentals → Final Project: Parallelizing a Scientific Application

10 Knowledge Nodes · 10 Learning Steps · v0 Active

This learning path equips graduate students and researchers with advanced parallel computing techniques for large-scale scientific applications. It covers shared and distributed memory programming, GPU acceleration, hybrid computing, performance profiling, and scalability, building from HPC fundamentals to advanced optimization strategies.

Knowledge Map

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Learning Route

10 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

3 steps

Phase 3

Advanced Topics

3 steps