SoA vs AoS: Data Layout Optimization
Master Structure of Arrays (SoA) vs Array of Structures (AoS) data layouts for optimal cache efficiency, SIMD vectorization, and GPU memory coalescing.
Clear explanations of core machine learning concepts, from foundational ideas to advanced techniques. Understand attention mechanisms, transformers, skip connections, and more.
Master Structure of Arrays (SoA) vs Array of Structures (AoS) data layouts for optimal cache efficiency, SIMD vectorization, and GPU memory coalescing.
Embedding quantization simulator: explore memory-accuracy trade-offs from float32 to int8 and binary representations for retrieval.
Master Linux process management through interactive visualizations. Understand process lifecycle, fork/exec operations, zombies, orphans, and CPU scheduling.
Master vector compression techniques from scalar to product quantization. Learn how to reduce memory usage by 10-100× while preserving search quality.
GPU distributed parallelism: Data Parallel (DDP), Tensor Parallel, Pipeline Parallel, and ZeRO optimization for training large AI models.
Explore Linux memory management through interactive visualizations. Understand virtual memory, page tables, TLB, swapping, and memory allocation.