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Accelerating Kirchhoff Migration by CPU and GPU Cooperation

Jairo Panetta, Thiago Teixeira, Paulo R. P. de Souza Filho, Carlos A. da Cunha Finho, David Sotelo, Fernando M. da Motta, Silvio S. Pinheiro, Ivan P. Junior, Andre L. Rosa, Luiz R. Monnerat, Leandro T. Carneiro, Carlos H. B. de Albrecht

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Tags: CUDA, Geoscience, GPU cluster, nVidia, Physics, Tesla C1060

October 28, 2010 by hgpu

Hybrid GPU-Based Single- and Double-Bounce SAR Simulation

T. Balz, U. Stilla

Tags: Geoscience, Physics, Raytracing, Rendering, Signal processing

October 28, 2010 by hgpu

The Heisenberg spin glass model on GPU: myths and actual facts

M. Bernaschi, G. Parisi, L. Parisi

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Tags: Condensed matter, CUDA, Disordered Systems and Neural Networks, nVidia, nVidia GeForce GTX 480, Package, Physics, Spin Systems, Tesla C1060, Tesla C2050

October 28, 2010 by hgpu

Accelerating astrophysical particle simulations with programmable hardware (FPGA and GPU)

R. Spurzem, P. Berczik, G. Marcus, A. Kugel, G. Lienhart, I. Berentzen, R. Manner, R. Klessen, R. Banerjee

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Tags: Astrophysics, FPGA, N-body simulation, nVidia, nVidia GeForce 8800 GTX, Particle simulation, Special purpose accelerators

October 28, 2010 by hgpu

Analyzing CUDA workloads using a detailed GPU simulator

Ali Bakhoda, George L. Yuan, Wilson W. L. Fung, Henry Wong, Tor M. Aamodt

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600 GTS, PTX

October 28, 2010 by hgpu

CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment

Svetlin Manavski, Giorgio Valle

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Tags: Bioinformatics, Biology, Computational biology, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Sequence alignment, Smith-Waterman algorithm

October 28, 2010 by hgpu

cuInspiral: prototype gravitational waves detection pipeline fully coded on GPU using CUDA

Leone B. Bosi

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Tags: Computational Physics, CUDA, FFT, General Relativity and Quantum Cosmology, nVidia, nVidia GeForce GTX 275, Physics

October 28, 2010 by hgpu

Matched Filter Computation on FPGA, Cell and GPU

Z. K. Baker, M. B. Gokhale, J. L. Tripp

Tags: Computer science, FPGA, nVidia, nVidia GeForce 7900 GTX

October 28, 2010 by hgpu

Automatic Dynamic Task Distribution between CPU and GPU for Real-Time Systems

M. Joselli, M. Zamith, E. Clua, A. Montenegro, A. Conci, R. Leal-Toledo, L. Valente, B. Feijo, M. D'Ornellas, C. Pozzer

Tags: Computer science

October 28, 2010 by hgpu

An improved scheme of an interactive finite element model for 3D soft-tissue cutting and deformation

Wen Wu, Pheng A. Heng

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Tags: Computer science, Finite element method, Medicine, nVidia, nVidia GeForce FX 5950 Ultra, Surgical simulation

October 28, 2010 by hgpu

GpuCV: A GPU-Accelerated Framework for Image Processing and Computer Vision

Yannick Allusse, Patrick Horain, Ankit Agarwal, Cindula Saipriyadarshan

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Tags: Computer science, Computer vision, CUDA, GLSL, Image processing, nVidia, nVidia GeForce GTX 280, OpenGL, Package

October 28, 2010 by hgpu

A hybrid condensed finite element model with GPU acceleration for interactive 3D soft tissue cutting

Wen Wu, Pheng A. Heng

Tags: Computer science, Finite element method, Medicine, Surgical simulation

October 28, 2010 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

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high performance computing on graphics processing units: hgpu.org

Applications

Accelerating Kirchhoff Migration by CPU and GPU Cooperation

Hybrid GPU-Based Single- and Double-Bounce SAR Simulation

The Heisenberg spin glass model on GPU: myths and actual facts

Accelerating astrophysical particle simulations with programmable hardware (FPGA and GPU)

Analyzing CUDA workloads using a detailed GPU simulator

CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment

cuInspiral: prototype gravitational waves detection pipeline fully coded on GPU using CUDA

Matched Filter Computation on FPGA, Cell and GPU

Automatic Dynamic Task Distribution between CPU and GPU for Real-Time Systems

An improved scheme of an interactive finite element model for 3D soft-tissue cutting and deformation

GpuCV: A GPU-Accelerated Framework for Image Processing and Computer Vision

A hybrid condensed finite element model with GPU acceleration for interactive 3D soft tissue cutting

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

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