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Explore advanced optimization techniques for matrix multiplication in C++ through this 43-minute conference talk from C++Now 2025. Learn how to transform naive matrix multiplication implementations into highly optimized versions that leverage modern hardware capabilities. Discover key performance-enhancing strategies including loop unrolling, cache blocking, SIMD vectorization, and thread-based parallelization while examining their real-world impact through benchmarking and profiling. Gain practical insights into the challenges of implementing optimized matrix multiplication in C++ and understand how effectively C++ can achieve peak performance for this fundamental operation used in scientific computing, game development, AI, and high-performance applications. Master modern C++ techniques for numerical computing and performance optimization suitable for developers working on computationally intensive applications.
