High Bandwidth Memory (HBM)
3D-stacked DRAM architecture providing massive bandwidth for GPUs and AI accelerators
Explore machine learning concepts related to gpu. Clear explanations and practical insights.
3D-stacked DRAM architecture providing massive bandwidth for GPUs and AI accelerators
Master GPU memory hierarchy from registers to global memory, understand coalescing patterns, bank conflicts, and optimization strategies for maximum performance
Unified virtual address space enabling seamless CPU-GPU memory sharing with automatic page migration
Understanding virtual memory page migration, fault handling, and TLB management in CPU-GPU systems
Explore the concept of CUDA contexts, their role in managing GPU resources, and how they enable parallel execution across multiple CPU threads.
Interactive visualization of Flash Attention - the breakthrough algorithm that makes attention memory-efficient through tiling, recomputation, and kernel fusion.
Understanding NVIDIA's specialized matrix multiplication hardware for AI workloads
Deep dive into the fundamental processing unit of modern GPUs - the Streaming Multiprocessor architecture, execution model, and memory hierarchy