Performance Engineering of Software Systems free videos and free material uploaded by Massachusetts Institute of Technology Staff .
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L1: Intro and Matrix Multiplication
R1: Basic Tools
HW1: Basic Tools, C Primer assigned
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L2: Bentley's Rules
L3: Bit Hacks
R2: Profiling
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L4: Architecture and Vectorization
L5: C to Assembly
HW3: Vectorization
assigned
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L6: Multicore Programming
L7: Races and Parallelism
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L8: Analysis of Multithreaded Algorithms
L9: What Compilers Can and Cannot Do
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L10: Measurement and Timing
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L11: Storage Allocation
R6: Simple, Straightforward Memory Allocation
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L12: Parallel Storage Allocation
L13: The Cilk Runtime System
R7: Compiler-Inserted Instrumentation
HW7: Dynamic Analysis Tools assigned
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L14: Caching and Cache-Efficient Algorithms
L15: Cache-Oblivious Algorithms
R8: Chaching and Cachegrind
HW8: Caching and Cachegrind assigned
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L16: Nondeterministic Programming
L17: Synchronization without Locks
R9: Deterministic Execution
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L18: DSLs and Autotuning
L19: Leiserchess Code Walk
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No lectures
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L20: Speculative Parallelism/Project
Parallelization Strategies
L21: Guest Lecture
R10: Synchronization Primitives and Examples
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L22: Graph Optimization
L23: Guest Lecture
class that provides a hands-on, project-based introduction to building scalable and high-performance software systems. Topics include performance analysis, algorithmic techniques for high performance, instruction-level optimizations, caching optimizations, parallel programming, and building scalable systems. The course programming language is C.
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