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Power and Performance Characterization of Computational Kernels on the GPU

Y. Jiao, H. Lin, P. Balaji, W. Feng

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Tags: Computer science, Energy-efficient computing, FFT, nVidia, nVidia GeForce GTX 280, OpenCL, Performance

July 9, 2011 by hgpu

Utilization of GPU for real-time vision in robotics

Tomasz Kornuta, Mateusz Pruchniak

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Tags: Algorithms, Computer vision, Image processing, nVidia, nVidia GeForce GTX 275, OpenCL

July 9, 2011 by hgpu

GPU volume rendering in 3D echocardiography: Real-time pre-processing and ray-casting

Gabriel Kiss, Erik Steen, Jon Petter Asen, Hans G. Torp

Tags: CUDA, Heart, Medicine, nVidia, OpenCL, Performance, Rendering, Visualization

July 9, 2011 by hgpu

Frameworks for GPU Accelerators: A comprehensive evaluation using 2D/3D image registration

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: CUDA, Image processing, Image registration, nVidia, nVidia Quadro FX 5800, OpenCL, Performance, RapidMind, Tesla C2050

July 9, 2011 by hgpu

Flexible OpenCL accelerated disparity estimation for video communication applications

Christian Weigel, Niklas Treutner

Tags: Algorithms, Computer science, OpenCL, Stereo vision

July 6, 2011 by hgpu

Automatic Multi-GPU Code Generation applied to Simulation of Electrical Machines

Antonio Wendell De Oliveira Rodrigues, Frederic Guyomarc'H, Jean-Luc Dekeyser, Yvonnick Le Menach

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Tags: Code generation, Computer science, Conjugate gradient solver, nVidia, OpenCL, Tesla S1070

July 5, 2011 by hgpu

QCD simulations with staggered fermions on GPUs

C. Bonati, G. Cossu, M. D'Elia, P. Incardona

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Tags: ATI, ATI Radeon HD 5870, Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GT 430, OpenCL, Physics, Tesla C1060, Tesla C2050, Tesla C2070

June 29, 2011 by hgpu

GPU acceleration of compton reconstruction for the PEDRO

Matthew R. Dimmock, Dmitri A. Nikulin, Jeremy M. C. Brown, Chuong V. Nguyen, John E. Gillam

Tags: Image processing, Image reconstruction, OpenCL

June 21, 2011 by hgpu

GPU-based motion correction of contrast-enhanced liver MRI scans: An OpenCL implementation

Jihun Oh, Diego Martin, Oskar Skrinjar

Tags: Image reconstruction, Medicine, MRI, nVidia, nVidia GeForce GTX 260 M, OpenCL

June 21, 2011 by hgpu

Performance evaluation of the multi-device OpenCL FDTD solver

Tomasz P. Stefanski, Nicolas Chavannes, Niels Kuster

Tags: Electrodynamics, FDTD, Finite-difference time-domain, GPU cluster, OpenCL

June 21, 2011 by hgpu

A comparative study of GPU programming models and architectures using neural networks

Vivek Pallipuram, Mohammad Bhuiyan, Melissa Smith

Tags: ATI, Computer science, CUDA, Neural networks, nVidia, OpenCL, Performance, Tesla C2050

June 14, 2011 by hgpu

A framework for parallel unstructured grid applications on GPUs

Mike Giles

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Source codes

Tags: Code generation, Computer science, CUDA, GPU cluster, MPI, nVidia, OpenCL, OpenMP, Package, PDEs, Presentation

June 5, 2011 by hgpu

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

Power and Performance Characterization of Computational Kernels on the GPU

Utilization of GPU for real-time vision in robotics

GPU volume rendering in 3D echocardiography: Real-time pre-processing and ray-casting

Frameworks for GPU Accelerators: A comprehensive evaluation using 2D/3D image registration

Flexible OpenCL accelerated disparity estimation for video communication applications

Automatic Multi-GPU Code Generation applied to Simulation of Electrical Machines

QCD simulations with staggered fermions on GPUs

GPU acceleration of compton reconstruction for the PEDRO

GPU-based motion correction of contrast-enhanced liver MRI scans: An OpenCL implementation

Performance evaluation of the multi-device OpenCL FDTD solver

A comparative study of GPU programming models and architectures using neural networks

A framework for parallel unstructured grid applications on GPUs

Recent source codes

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

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