high performance computing on graphics processing units: hgpu.org

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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

H- and C-level WFST-based large vocabulary continuous speech recognition on Graphics Processing Units

Jungsuk Kim, Kisun You, Wonyong Sung

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Tags: CUDA, nVidia, nVidia GeForce GTX 285, Signal processing, Speech recognition

July 17, 2011 by hgpu

Speedup of Fuzzy Clustering Through Stream Processing on Graphics Processing Units

Derek T. Anderson, Robert H. Luke, James M. Keller

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Tags: Cg, Clustering, Image processing, nVidia, nVidia GeForce 7800 GS, nVidia GeForce 8800 GTX, nVidia GeForce FX 5900 Ultra, nVidia Quadro FX 2500 M

July 17, 2011 by hgpu

Feature-based speed limit sign detection using a graphics processing unit

Vladimir Glavtchev, Pinar Muyan-Ozcelik, Jeffrey M. Ota, John D. Owens

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce 9400 M GS, OpenGL, Rendering

July 17, 2011 by hgpu

Mars: Accelerating MapReduce with Graphics Processors

Wenbin Fang, Bingsheng He, Qiong Luo, N.K. Govindaraju

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Tags: Computer science, CUDA, MapReduce, nVidia, nVidia GeForce GTX 280, Package, Presentation

July 17, 2011 by hgpu

Towards a unified framework for rapid 3D computed tomography on commodity GPUs

F. Xu, K. Mueller

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Tags: ATI, ATI Radeon 9700, Computed tomography, CT, Medicine, nVidia, Tomography, Visualization

July 17, 2011 by hgpu

Parallel implementation of endmember extraction algorithms using NVidia graphical processing units

Antonio Plaza, Javier Plaza, Sergio Sanchez

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Sensing, Spectral methods

July 17, 2011 by hgpu

Quality comparison and acceleration for digital hologram generation method based on segmentation

Hoonjong Kang, Fahri Yaras, Levent Onural

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Tags: Computer holography, Computer science, CUDA, Image reconstruction, nVidia, nVidia GeForce GTX 280

July 17, 2011 by hgpu

Full-Parallax Hologram Synthesis of Triangular Meshes using a Graphical Processing Unit

Ivo Hanak, Martin Janda, Vaclav Skala

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Tags: Computer holography, Computer science, DirectX, nVidia, nVidia GeForce FX 6800, Rendering

July 16, 2011 by hgpu

Uniform partitioning of Monte Carlo radiosity on GPUs

J. R. Sanjurjo, M. Amor, E. J. Padron, R. Doallo, M. Boo

Tags: Algorithms, CUDA, Image processing, nVidia

July 16, 2011 by hgpu

ForOpenCL: Transformations Exploiting Array Syntax in Fortran for Accelerator Programming

Matthew J. Sottile, Craig E Rasmussen, Wayne N. Weseloh, Robert W. Robey, Daniel Quinlan, Jeffrey Overbey

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Tags: Computer science, Fortran, nVidia, OpenCL, Package, Programming Languages, Tesla C2050

July 14, 2011 by hgpu

Real-time, fast radio transient searches with GPU de-dispersion

Alessio Magro, Aris Karastergiou, Stefano Salvini, Benjamin Mort, Fred Dulwich, Kristian Zarb Adami

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Tags: Astrophysics, CUDA, FFT, Instrumentation and Methods for Astrophysics, nVidia, Tesla C1060

July 14, 2011 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

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

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

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

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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high performance computing on graphics processing units: hgpu.org

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

H- and C-level WFST-based large vocabulary continuous speech recognition on Graphics Processing Units

Speedup of Fuzzy Clustering Through Stream Processing on Graphics Processing Units

Feature-based speed limit sign detection using a graphics processing unit

Mars: Accelerating MapReduce with Graphics Processors

Towards a unified framework for rapid 3D computed tomography on commodity GPUs

Parallel implementation of endmember extraction algorithms using NVidia graphical processing units

Quality comparison and acceleration for digital hologram generation method based on segmentation

Full-Parallax Hologram Synthesis of Triangular Meshes using a Graphical Processing Unit

Uniform partitioning of Monte Carlo radiosity on GPUs

ForOpenCL: Transformations Exploiting Array Syntax in Fortran for Accelerator Programming

Real-time, fast radio transient searches with GPU de-dispersion

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

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

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

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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