high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming » OpenCL

A Light-weight API for Portable Multicore Programming

Christopher G. Baker, Michael A. Heroux, H. Carter Edwards, Alan B. Williams

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Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, OpenCL, RapidMind

April 3, 2011 by hgpu

Mobile visual computing

K. Pulli

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Tags: Computer science, Image recognition, OpenCL, OpenGL, Video tracking

April 3, 2011 by hgpu

Energy consumption of Graphic Processing Units with respect to automotive use-cases

L. Stolz, H. Endt, M. Vaaraniemi, D. Zehe, W. Stechele

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Tags: Computational Engineering, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9400 GT, nVidia GeForce GT 220, OpenCL

April 3, 2011 by hgpu

MARC: A Many-Core Approach to Reconfigurable Computing

Ilia Lebedev, Shaoyi Cheng, Austin Doupnik, James Martin, Christopher Fletcher, Daniel Burke, Mingjie Lin, John Wawrzynek

Tags: Compilers, Computer science, FPGA, OpenCL, Performance

April 2, 2011 by hgpu

Real-time particle filtering with heuristics for 3D motion capture by monocular vision

D.A.G. Jauregui, P. Horain, M.K. Rajagopal, S.S.K. Karri

Tags: Computer science, OpenCL, Particle filtering, Video tracking

April 2, 2011 by hgpu

Parallel discrete wavelet transform using the Open Computing Language: a performance and portability study

B. Sharma, N. Vydyanathan

Tags: ATI, Image processing, nVidia, OpenCL, Performance, Wavelet

April 2, 2011 by hgpu

Parallel implementation of the Finite-Difference Time-Domain method in Open Computing Language

T.P. Stefanski, S. Benkler, N. Chavannes, N. Kuster

Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, OpenCL, Performance

April 2, 2011 by hgpu

Speeding-up Pearson Correlation Coefficient calculation on graphical processing units

K.Berker Logoglu, Tugrul K. Ates

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Tags: ATI, ATI Radeon HD 5870, CUDA, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8600 M GT, nVidia GeForce GTX 285, OpenCL, Search, Signal processing

April 2, 2011 by hgpu

GPU-Enabled AI

Mark Ingebretsen

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Tags: Artificial intelligence, Computer science, nVidia, OpenCL, Rendering

April 2, 2011 by hgpu

Uncertainty-Aware Guided Volume Segmentation

Jorg-Stefan Prassni, Timo Ropinski, Klaus Hinrich

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Tags: GLSL, Image processing, nVidia, nVidia GeForce GTX 285, OpenCL, OpenGL, Rendering, Visualization

April 2, 2011 by hgpu

Non-intrusive Performance Analysis of Parallel Hardware Accelerated Applications on Hybrid Architectures

Robert Dietrich, Thomas Ilsche, Guido Juckeland

Tags: Computer science, CUDA, nVidia, OpenCL, Performance

April 1, 2011 by hgpu

Message Passing Interface support for the runtime adaptive multi-processor system-on-chip RAMPSoC

D. Gohringer, M. Hubner, L. Hugot-Derville, J. Becker

Tags: Computer science, CUDA, MPI, nVidia, OpenCL, OpenGL

April 1, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

A Light-weight API for Portable Multicore Programming

Mobile visual computing

Energy consumption of Graphic Processing Units with respect to automotive use-cases

MARC: A Many-Core Approach to Reconfigurable Computing

Real-time particle filtering with heuristics for 3D motion capture by monocular vision

Parallel discrete wavelet transform using the Open Computing Language: a performance and portability study

Parallel implementation of the Finite-Difference Time-Domain method in Open Computing Language

Speeding-up Pearson Correlation Coefficient calculation on graphical processing units

GPU-Enabled AI

Uncertainty-Aware Guided Volume Segmentation

Non-intrusive Performance Analysis of Parallel Hardware Accelerated Applications on Hybrid Architectures

Message Passing Interface support for the runtime adaptive multi-processor system-on-chip RAMPSoC

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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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