Explore machine learning concepts related to Cache. Clear explanations and practical insights.
Deep dive into CPU cache lines — interactive cache simulator with configurable associativity and replacement policies, false sharing MESI protocol visualization, access pattern benchmarks, and optimization techniques.
Master GPU memory hierarchy from registers to global memory, understand coalescing patterns, bank conflicts, and optimization strategies for maximum performance
Master sequential vs strided memory access patterns. Learn how cache efficiency and hardware prefetching affect application performance.
Structure of Arrays vs Array of Structures as instruments: cache-line fill, SIMD gather vs contiguous load, GPU coalescing, and AoSoA hybrids — when layout is a 10× decision.