NVIDIA CUDA Platform
Comprehensive technical exploration of GPU computing architecture, from PTX binaries to kernel execution
Select Your Module
PTX & CUDA Binaries
Deep dive into the CUDA compilation pipeline. Understand PTX intermediate representation, SASS native code, cubin binaries, and the forward compatibility that enables your code to run on future GPU architectures.
GPU Architecture Deep Dive
Evolution from Pascal to Rubin. Explore streaming multiprocessors, tensor cores, memory hierarchies, and the revolutionary architectural advances that power modern AI and HPC workloads.
CUDA API & Kernel Execution
Master the CUDA software stack. Compare Runtime vs Driver APIs, understand CUDA libraries, and learn how kernels are launched, scheduled, and executed across GPU streaming multiprocessors.
Memory Optimization
Master the GPU memory hierarchy. Learn coalescing patterns, shared memory usage, bank conflicts, and register optimization to maximize bandwidth and minimize latency.
Profiling Deep-Dive
Profile and optimize CUDA applications. Master Nsight Compute, Nsight Systems, identify bottlenecks, and apply targeted optimizations using metrics-driven analysis.
Binary Utilities
Understand the CUDA compilation pipeline. From nvcc to PTX to SASS, inspect binaries with cuobjdump and nvdisasm, and debug with cuda-gdb and compute-sanitizer.
TensorRT Deep Dive
NVIDIA's inference optimization engine. Master layer fusion, precision calibration, kernel auto-tuning, and production deployment with Docker, Kubernetes, and Triton Inference Server.
vLLM Deep Dive
High-throughput LLM serving with PagedAttention. Explore continuous batching, CUDA graphs, speculative decoding, and production deployment patterns for scale.