Getting Started with CUDA Graphs | NVIDIA Technical Blog
WEBSep 5, 2019 · We can further improve performance by using a CUDA Graph to launch all the kernels within each iteration in a single operation. We introduce a graph as follows:
Constructing CUDA Graphs with Dynamic Parameters
WEBAug 23, 2022 · Applying CUDA graphs to existing CUDA code is a great way to achieve performance on the latest NVIDIA GPUs, with dynamic parameters and minimal code changes.
Accelerating PyTorch with CUDA Graphs
WEBOct 26, 2021 · To overcome these performance overheads, NVIDIA engineers worked with PyTorch developers to enable CUDA graph execution natively in PyTorch. This design was instrumental in scaling NVIDIA’s MLPerf workloads (implemented in PyTorch) to over 4000 GPUs in order to achieve record-breaking performance.
Employing CUDA Graphs in a Dynamic Environment
WEBNov 3, 2021 · Coverage and efficiency of such update operations have since improved markedly. In this post, I describe some scenarios for improving performance of real-world applications by employing CUDA graphs, some including graph update functionality.
Graph API — NVIDIA cuDNN v9.4.0 documentation
WEBSep 6, 2024 · Graph API. The cuDNN library provides a declarative programming model for describing computation as a graph of operations. This graph API was introduced in cuDNN 8.0 to provide a more flexible API, especially with the growing importance of operation fusion. The user starts by building a graph of operations.
Getting Started with CUDA Graphs - NVIDIA Developer Forums
WEBSep 10, 2019 · When using the manual method to create a CUDA graph, you do this by explicitly specifying dependencies, and the graph will be built with as many parallel branches as possible given these dependencies.
Using NCCL with CUDA Graphs — NCCL 2.22.3 documentation
WEBStarting with NCCL 2.9, NCCL operations can be captured by CUDA Graphs. CUDA Graphs provide a way to define workflows as graphs rather than single operations. They may reduce overhead by launching multiple GPU operations through a …
CUDA Graph Usage: CUDA Feature Testing - GPU Developer …
WEBSep 25, 2020 · Simple demonstration of CUDA graphs using the vector add code from Visual Studio's default CUDA project as a starting point.
CUDA C++ Programming Guide - NVIDIA Documentation Hub
WEBIn the CUDA programming model a thread is the lowest level of abstraction for doing a computation or a memory operation. Starting with devices based on the NVIDIA Ampere GPU architecture, the CUDA programming model provides acceleration to memory operations via the asynchronous programming model.
Effortless CUDA Graphs | GTC Digital April 2021 - NVIDIA
WEBCUDA graphs are a great way to make workloads with many small kernels run faster, but when first released they only supported static workflows with constan.
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