In our previous exploration of graph analytics, we uncovered the transformative power of GPU-CPU fusion using NVIDIA cuGraph. Building upon those insights…
The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. With the CUDA Toolkit, you can develop, optimize, and deploy your applications on GPU-accelerated...
Thrust is the C++ parallel algorithms library which inspired the introduction of parallel algorithms to the C++ Standard Library. Thrust’s high-level interface greatly enhances programmer productivity while enabling performance portability between GPUs and multicore CPUs. It builds on top of...
1. Difference between the driver and runtime APIs 2. API synchronization behavior 3. Stream synchronization behavior 4. Graph object thread safety 5. Rules for version mixing 6. Modules 6.1. 6.2. Device Management [DEPRECATED] 6.3. Thread Management [DEPRECATED] 6.4. Error Handling 6.5. Stream...
NVIDIA TensorRT is an SDK that facilitates high-performance machine learning inference. It complements training frameworks such as TensorFlow, PyTorch, and MXNet. It focuses on running an already-trained network quickly and efficiently on NVIDIA hardware. Attention Ensure you refer to the Release...
NVIDIA Optimized Frameworks such as Kaldi, NVIDIA Optimized Deep Learning Framework (powered by Apache MXNet), NVCaffe, PyTorch, and TensorFlow (which includes DLProf and TF-TRT) offer flexibility with designing and training custom (DNNs for machine learning and AI applications.
Today I’m excited to announce the general availability of CUDA 8, the latest update to NVIDIA’s powerful parallel computing platform and programming model.
News and tutorials for developers, scientists, and IT admins
The NVIDIA® GPUDirect® Storage cuFile API Reference Guide provides information about the cuFile API reference that is used in applications and frameworks to leverage GDS technology and describes the intent, context, and operation of those...
News and tutorials for developers, scientists, and IT admins
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