Lecture 1: Matrix Multiply: A Case Study

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Lecture 2: Bit Hacks

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Lecture 3: Basic Performance Engineering

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Lecture 4: Computer Architecture and Performance Engineering

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Industry Mentor (MITPOSSE) Overview

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Lecture 5: Performance Engineering with Profiling Tools

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Lecture 6: C to Assembler

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Lecture 7: Memory Systems and Performance Engineering

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Lecture 8: Cache-Efficient Algorithms

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Lecture 9: Cache-Efficient Algorithms II

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Lecture 10: Dynamic Storage Allocation

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Lecture 11: What Compilers Can and Cannot Do

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Lecture 12: Multicore Programming

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Lecture 13: Parallelism and Performance

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Lecture 14: Analysis of Multithreaded Algorithms

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Lecture 15: Nondeterministic Programming

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Lecture 16: Synchronizing without Locks

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Lecture 17: Performance Issues in Parallelization

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Lecture 18: Primer on Ray Tracing Techniques

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Lecture 19: How TokuDB Fractal Tree Indexes Work

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Lecture 20: Distributed Systems

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Lecture 21: Quiz 2 Review

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Lecture 22: A Tale of 10 Bugs: Performance Engineering at VMware

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Lecture 23: Final Competition and Student Feedback

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