cuda
Quantum Mechanics Bolsters Drug Discovery with QUELO-G and CUDA Graphs
Quantum mechanics is enhancing drug discovery through the use of QUELO-G and CUDA graphs.
NVIDIA Enhances RDMA Performance with DOCA GPUNetIO
NVIDIA introduces GPU-accelerated RDMA with DOCA GPUNetIO, boosting data transfer speeds.
NVIDIA CUDA Toolkit 12.4 Enhances Runtime Fatbin Creation
NVIDIA CUDA Toolkit 12.4 introduces the nvFatbin library, streamlining the creation of fatbins at runtime and enhancing GPU code compatibility.
NVIDIA Introduces Checkpointing for CUDA Applications with CRIU
NVIDIA's new cuda-checkpoint utility, combined with CRIU, allows transparent checkpointing and restoring of CUDA applications on Linux.
NVIDIA Releases CUDA-Q v0.8, Enhancing Quantum Programming
NVIDIA's CUDA-Q v0.8 update simplifies quantum programming with enhanced state handling, Pauli words, custom unitary operations, and more.
NVIDIA's CUDA-Q Reduces Resources for Quantum Clustering Algorithms
NVIDIA’s CUDA-Q platform enables significant resource reduction in quantum clustering algorithms, making them more feasible for near-term quantum computing applications.
NVIDIA Unveils New CUDA Libraries, Promises Major Speed and Efficiency Gains
NVIDIA introduces new CUDA libraries to enhance accelerated computing, offering substantial speed and energy efficiency improvements across various applications.
Enhancing CUDA Efficiency: Key Techniques for Aspiring Developers
Discover essential techniques to optimize NVIDIA CUDA performance, tailored for new developers, as explained by NVIDIA experts.
NVIDIA NeMo Achieves 10x Speed Boost for ASR Models
NVIDIA NeMo's latest enhancements speed up ASR models by up to 10x, optimizing both performance and cost-efficiency for speech recognition tasks.
NVIDIA Enhances Polars Data Processing with CUDA-X Acceleration
NVIDIA integrates CUDA-X with Polars, significantly boosting data processing speeds. The update promises up to 13x faster performance, enhancing efficiency for data scientists and engineers.
Numbast Bridges CUDA C++ and Python Ecosystems
Numbast introduces an automated pipeline to convert CUDA C++ APIs into Numba bindings, enhancing Python developers' access to CUDA's performance.
Enhancing Deep Learning with nvmath-python's Matrix Multiplication and Epilog Fusion
Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.
NVIDIA Enhances Google Quantum AI Processor Design with CUDA-Q Platform
NVIDIA collaborates with Google Quantum AI to advance quantum computing design using NVIDIA's CUDA-Q platform, enabling large-scale simulations to tackle noise challenges in quantum hardware.
NVIDIA Unveils CUDA-QX Libraries to Boost Quantum Supercomputing
NVIDIA introduces CUDA-QX, a set of libraries aimed at enhancing quantum supercomputing capabilities by integrating AI tools with quantum processing units (QPUs).
NVIDIA and AWS Enhance Quantum Computing with CUDA-Q and Braket Integration
NVIDIA collaborates with AWS to integrate CUDA-Q with Amazon Braket, enhancing accessibility and efficiency in quantum computing through hybrid applications and streamlined QPU access.