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hgpu.org » nVidia GeForce 9200 M GS

Opportunities for Heterogeneous CPUGPU Task Scheduling

Christiaan Arnoldus, Robert Witte
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July 31, 2013 by hgpu

Speeding up LIP-Canny with CUDA programming

Rafael Palomar, Jose M. Palomares, Joaquin Olivares, Jose M. Castillo, Juan Gomez-Luna
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July 28, 2012 by hgpu

Implementation of random linear network coding on OpenGL-enabled graphics cards

Peter Vingelmann, Peter Zanaty, Frank H. P. Fitzek, Hassan Charaf
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July 17, 2011 by hgpu

Recent source codes

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Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

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Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen
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Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

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Accelerating cosmological simulations on GPUs: a portable approach using OpenMP
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KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation
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VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs
Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

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Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework
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exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials
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