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Quantum Mechanics Bolsters Drug Discovery with QUELO-G and CUDA Graphs
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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
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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
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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
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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
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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
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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
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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
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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.

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