high performance computing on graphics processing units: hgpu.org

Programming

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Implementing LNS using filtering units of GPUs

Mark Arnold, Sylvain Collange, David Defour

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Tags: CUDA, Filtering, nVidia, nVidia GeForce GTX 280, Signal processing

July 17, 2011 by hgpu

Dynamic scheduling Monte-Carlo framework for multi-accelerator heterogeneous clusters

Anson H.T. Tse, David B. Thomas, K.H. Tsoi, Wayne Luk

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, Monte Carlo simulation, nVidia, Tesla C1060

July 17, 2011 by hgpu

Improving the Performance of the Sparse Matrix Vector Product with GPUs

F. Vazquez, G. Ortega, J.J. Fernandez, E.M. Garzon

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Partial differential equations, PDEs, Sparse matrix

July 17, 2011 by hgpu

Boosting sphere decoding speed through Graphic Processing Units

Muhammad S. Khairy, Christian Mehlfuhrer, Markus Rupp

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Tags: Computer science, CUDA, MIMO, Network communications, nVidia, nVidia GeForce 8400 GS, nVidia GeForce GTX 285, Package

July 17, 2011 by hgpu

Voxels on fire

Ye Zhao, Xiaoming Wei, Zhe Fan, A. Kaufman, Hong Qin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Lattice Boltzmann model, nVidia, nVidia GeForce 4, Physics-based simulation

July 17, 2011 by hgpu

Arbitrary dimension Reed-Solomon coding and decoding for extended RAID on GPUs

Matthew L. Curry, Anthony Skjellum, H. Lee Ward, Ron Brightwell

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Tags: Computer science, CUDA, Error recovery, nVidia, nVidia GeForce GTX 260, Security

July 17, 2011 by hgpu

Linpack evaluation on a supercomputer with heterogeneous accelerators

Toshio Endo, Akira Nukada, Satoshi Matsuoka, Naoya Maruyama

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Tags: Benchmarking, Computer science, CUBLAS, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Performance, Tesla S1070

July 17, 2011 by hgpu

Color Seamlessness in Multi-Projector Displays Using Constrained Gamut Morphing

Behzad Sajadi, Maxim Lazarov, M. Gopi, Aditi Majumder

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Tags: Algorithms, Image processing, Visualization

July 17, 2011 by hgpu

Performance improvements of real-time crowd simulations

Guillermo Vigueras, Juan M. Orduna, Miguel Lozano

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Tags: Algorithms, Computer science, Rendering

July 17, 2011 by hgpu

Using Graphics Processor Units (GPUs) for Automatic Video Structuring

Peter Kehoe, Alan F. Smeaton

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Tags: Algorithms, Cg, Image processing, nVidia, nVidia GeForce 7800 GT, OpenGL

July 17, 2011 by hgpu

hiCUDA: High-Level GPGPU Programming

Tianyi David Han, Tarek S. Abdelrahman

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Tags: Code generation, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT, Package, Presentation

July 17, 2011 by hgpu

Highly parallel decoding of space-time codes on graphics processing units

Kalyana C. Bollapalli, Yiyue Wu, Kanupriya Gulati, Sunil Khatri, A. Robert Calderbank

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Tags: CUDA, nVidia, nVidia GeForce GTX 280, Signal processing, Tesla C1060, Wireless baseband architecture

July 17, 2011 by hgpu

Tutoring LLM into a Better CUDA Optimizer

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

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

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

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high performance computing on graphics processing units: hgpu.org

Programming

Implementing LNS using filtering units of GPUs

Dynamic scheduling Monte-Carlo framework for multi-accelerator heterogeneous clusters

Improving the Performance of the Sparse Matrix Vector Product with GPUs

Boosting sphere decoding speed through Graphic Processing Units

Voxels on fire

Arbitrary dimension Reed-Solomon coding and decoding for extended RAID on GPUs

Linpack evaluation on a supercomputer with heterogeneous accelerators

Color Seamlessness in Multi-Projector Displays Using Constrained Gamut Morphing

Performance improvements of real-time crowd simulations

Using Graphics Processor Units (GPUs) for Automatic Video Structuring

hiCUDA: High-Level GPGPU Programming

Highly parallel decoding of space-time codes on graphics processing units

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Tutoring LLM into a Better CUDA Optimizer

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

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