How RAM Works: Interactive Deep Dive into Computer Memory
Explore the inner workings of RAM through beautiful animations and interactive visualizations. Understand memory cells, addressing, and the memory hierarchy.
Explore machine learning concepts related to hardware. Clear explanations and practical insights.
Explore the inner workings of RAM through beautiful animations and interactive visualizations. Understand memory cells, addressing, and the memory hierarchy.
Understanding character devices, major/minor numbers, and the device file hierarchy created by NVIDIA drivers for GPU access in Linux.
Learn how memory controllers manage CPU-RAM data flow. Interactive demos of channels, ranks, banks, and command scheduling for optimal bandwidth.
Learn CUDA Multi-Process Service (MPS) for GPU sharing. Enable concurrent kernel execution from multiple processes and maximize GPU utilization.
Explore Flynn's Classification of computer architectures through interactive visualizations of SISD, SIMD, MISD, and MIMD systems.
Explore CPU pipeline stages, instruction-level parallelism, pipeline hazards, and branch prediction through interactive visualizations.
Master pipeline hazards through interactive visualizations of data dependencies, control hazards, structural conflicts, and advanced detection mechanisms.
Learn how CPU cache lines transfer data between memory and cache. Understand spatial locality and optimize memory access patterns for better performance.
Explore NUMA architecture and memory locality in multi-socket systems. Understand local vs remote memory access latency and optimization strategies.
Automate NVIDIA GPU management in Kubernetes with the GPU Operator. Deploy drivers, device plugins, and monitoring as DaemonSets.
Explore the concept of CUDA contexts, their role in managing GPU resources, and how they enable parallel execution across multiple CPU threads.