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…cuPyNumeric supports loading HDF5 datasets into memory, distributing data across parallel tasks running in many GPUs. Through extensive experimentation on the latest GPUs and high-performance Lustre storage systems, three critical optimizations…
…While this may seem like a simple property to guarantee, it can be difficult to achieve in practice, especially in parallel programming and floating-point arithmetic. This is because floating-point addition…
…cuda.compute Pythonic interface for high-performance, device-level CCCL algorithms, enabling developers to leverage CUDA parallel processing directly within Python workflows. cuda.parallel Standardized primitives for distributed and local parallel patterns…
…CPU activity (top) in parallel to GPU graphics and compute activity (bottom). The GPU Metrics section of the Nsight Systems timeline. Track GPU Activity To further explore the GPU, toggling on GPU…
…This enabled us to parallelize attention computation across parallel batches, significantly boosting the aggregate throughput of the prefill phase. While this configuration provided a robust functional baseline, profiling revealed that satisfying the…
…Streams updated weights from learners to actors with minimal transfer overhead Elastic expert parallelism : Dispatches and combine stages in expert parallelism can be done through NIXL, with support for dynamic reconfigurations The…
…Distributed Newton-Schulz LLM training at scale often uses tensor parallelism (TP) together with other parallelisms, which introduces unique challenges. TP splits individual weight matrices across multiple GPUs along specific dimensions, meaning…
…The ideal configuration for any given workload (such as hardware, parallelism, and prefill/decode split) resides in a massive, multi-dimensional search space that is impossible to explore manually or through exhaustive…
…Optimized Attention Data Parallel— Better balancing of context requests between different ranks, enabling significant speedups in end-to-end performance. The latest features of the open source NVIDIA TensorRT-LLM inference serving…
…Accelerating Applications With Parallel Algorithms | CUDA C++ CUDA Upgrades for Jetson Devices Profiling and Debugging Applications Installing CUDA Toolkit on Windows and WSL GTC Digital Webinars Dive deeper into the latest CUDA…