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This lecture explores the effective use of shared memory in CUDA programming, focusing on optimization techniques that enhance performance in data-intensive computing. Delivered by Zhang Qi from Fudan University, the session covers practical examples and outlines the significance of shared memory in reducing latency and improving data access efficiency. The lecture is part of the COMP630030 course, emphasizing how to leverage CUDA frameworks for optimal computing solutions in various applications.
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Lecture 5Efficient Shared Memory Use&Optimization 张奇 复旦大学 COMP630030 Data Intensive Computing
Outline • CUDA Efficient Shared Memory Use • Optimization & Example
Outline • CUDA Efficient Shared Memory Use • Optimization & Example