srush/GPU-Puzzles

Features

• GPU Programming Courses - Provides an interactive learning environment and structured puzzles for mastering CUDA GPU kernel development.
• CUDA Programming Tutorials - Serves as an interactive learning environment for mastering CUDA GPU kernel development.
• GPU Programming Educational Tools - Provides a set of programming challenges designed to teach the mapping of high-level code to GPU hardware.
• GPU-Accelerated Computation - Provides a system that executes puzzle computations on GPUs to teach parallel programming and memory management.
• Parallel Algorithm Training - Provides practical training in developing parallel algorithms to improve performance on CUDA-supported hardware.
• GPU Architecture Education - Teaches GPU architecture and how processors handle memory and threads through hands-on code experimentation.
• Hardware-to-Logic Mapping Exercises - Offers exercises that map high-level Python logic directly to low-level CUDA hardware instructions.
• Concurrency Labs - Functions as a hands-on lab for practicing parallel computing concepts and GPU memory management.
• Targeted Feedback Loops - Implements real-time validation of CUDA kernel outputs against expected solutions to provide immediate pedagogical feedback.
• Python-C Interfaces - Interfaces a high-level Python scripting environment with low-level C-style CUDA kernel code.

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