high performance computing on graphics processing units: hgpu.org

hgpu.org » Performance

Option pricing with multi-dimensional quadrature architectures

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

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Tags: Finance, FPGA, nVidia, nVidia GeForce 8600 GT, Performance, Tesla C1060

July 14, 2011 by hgpu

MATLAB Parallelization through Scalarization

Chun-Yu Shei, Adarsh Yoga, Madhav Ramesh, Arun Chauhan

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Tags: Compilers, Computer science, CUDA, nVidia, Performance, Tesla C1060

July 11, 2011 by hgpu

Accelerating Lossless Data Compression with GPUs

R. L. Cloud, M. L. Curry, H. L. Ward, A. Skjellum, P. Bangalore

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Performance

July 11, 2011 by hgpu

Testing Tesla architecture for scientific computing: The performance of matrix-vector product

Pawel Maciol, Krzysztof Banas

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce 8800 GTX, Performance, Tesla C870

July 10, 2011 by hgpu

A Comparison of FPGA and GPU for Real-Time Phase-based Optical Flow, Stereo, and Local Image Features

Karl Pauwels, Matteo Tomasi, Javier Diaz Alonso, Eduardo Ros, Marc M. Van Hulle

Tags: Computer science, Computer vision, FPGA, Optical flow, Performance

July 10, 2011 by hgpu

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

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

Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing

Brahim Betkaoui, David B. Thomas, Wayne Luk

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Tags: Computer science, CUDA, Energy-efficient computing, FPGA, nVidia, Performance, Tesla C1060

July 7, 2011 by hgpu

A Hybrid Computing Platform Digital Wideband Receiver Design and Performance Measurement

K. George, C.-I. H. Chen

Tags: FPGA, nVidia, Performance, Signal processing, Tesla C2050

June 30, 2011 by hgpu

A comparative benchmarking of the FFT on Fermi and Evergreen GPUs

M.F. Ahmed, O. Haridy

Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, FFT, Hardware Architecture, nVidia, nVidia GeForce GTX 480, Performance

June 30, 2011 by hgpu

GPU-Based Heuristic Solver for Linear Sum Assignment Problems Under Real-time Constraints

Roberto Roverso, Amgad Naiem, Mohammed El-Beltagy, Sameh El-Ansary

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Tags: CUDA, Mathematical Software, Mathematics, nVidia, nVidia GeForce GTX 295, Optimization, Performance

June 29, 2011 by hgpu

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

NVIDIA Object Oriented Agents

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

See all packages

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high performance computing on graphics processing units: hgpu.org

Option pricing with multi-dimensional quadrature architectures

MATLAB Parallelization through Scalarization

Accelerating Lossless Data Compression with GPUs

Testing Tesla architecture for scientific computing: The performance of matrix-vector product

A Comparison of FPGA and GPU for Real-Time Phase-based Optical Flow, Stereo, and Local Image Features

Power and Performance Characterization of Computational Kernels on the GPU

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

Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing

A Hybrid Computing Platform Digital Wideband Receiver Design and Performance Measurement

A comparative benchmarking of the FFT on Fermi and Evergreen GPUs

GPU-Based Heuristic Solver for Linear Sum Assignment Problems Under Real-time Constraints

Recent source codes

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

NVIDIA Object Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

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