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THOR: A Transparent Heterogeneous Open Resource framework

J.L. Vazquez-Poletti, J. Perhac, J. Ryan, A.C. Elster

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Tags: Algorithms, Benchmarking, Cloud, Computer science, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 470, OpenCL, Tesla S1070

August 10, 2011 by hgpu

Pricing the American Option Using Reconfigurable Hardware

Chris Wynnyk, Malik Magdon-Ismail

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Tags: Algorithms, CUDA, Finance, Finite difference, FPGA, nVidia, Tesla S1070

August 10, 2011 by hgpu

Multi-layer depth peeling via fragment sort

Baoquan Liu, Li-Yi Wei, Ying-Qing Xu, Enhua Wu

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Tags: Algorithms, Computer science, HLSL, nVidia, nVidia GeForce 6800, Rendering, Sorting

August 10, 2011 by hgpu

A Flexible Multi-Volume Shader Framework for Arbitrarily Intersecting Multi-Resolution Datasets

John Plate, Thorsten Holtkaemper, Bernd Froehlich

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering

August 10, 2011 by hgpu

Real-time continuum grass

Kan Chen, Henry Johan

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Tags: 3D Graphics and Realism, Algorithms, ATI, ATI Radeon HD 4850, Computer science, DirectX, nVidia, nVidia GeForce 8600 GTS, Virtual reality

August 10, 2011 by hgpu

Performance evaluation and optimization of random memory access on multicores with high productivity

Vaibhav Saxena, Yogish Sabharwal, Pramod Bhatotia

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Tags: Benchmarking, Computer science, CUDA, Memory, nVidia, nVidia Quadro FX 4600, Optimization

August 10, 2011 by hgpu

A parallel mapping of optical flow to Compute Unified Device Architecture for motion-based image segmentation

Peter Kuchnio, David W. Capson

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 280, Optical flow

August 10, 2011 by hgpu

Approaches for parallelizing reductions on modern GPUs

Xin Huo, V.T. Ravi, Wenjing Ma, G. Agrawal

Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, Nearest neighbour, nVidia

August 10, 2011 by hgpu

G-NetMon: A GPU-accelerated Network Performance Monitoring System

Wenji Wu, Phil DeMar, Don Holmgren, Amitoj Singh

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Tags: Computer science, CUDA, GPU cluster, Networking and Internet Architecture, nVidia, Tesla C2070

August 9, 2011 by hgpu

G-NetMon: A GPU-accelerated Network Performance Monitoring System for Large Scale Scientific Collaborations

Wenji Wu, Phil DeMar, Don Holmgren, Amitoj Singh, Ruth Pordes

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Tags: Computer science, CUDA, GPU cluster, Networking and Internet Architecture, nVidia, Tesla C2070

August 9, 2011 by hgpu

Real-Time All-in-Focus Video-Based Rendering Using A Network Camera Array

Yuichi Taguchi, Keita Takahashi, Takeshi Naemura

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Tags: Algorithms, Cg, Computer science, Image generation, nVidia, nVidia GeForce 8800 Ultra, OpenGL, Real-time graphics, Rendering

August 9, 2011 by hgpu

Graphics Processing Units for Handhelds

Tomas Akenine-Moller, Jacobs Strom

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Tags: Computer science, Hardware Architecture, Review

August 9, 2011 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

Pricing the American Option Using Reconfigurable Hardware

Multi-layer depth peeling via fragment sort

A Flexible Multi-Volume Shader Framework for Arbitrarily Intersecting Multi-Resolution Datasets

Real-time continuum grass

Performance evaluation and optimization of random memory access on multicores with high productivity

A parallel mapping of optical flow to Compute Unified Device Architecture for motion-based image segmentation

Approaches for parallelizing reductions on modern GPUs

G-NetMon: A GPU-accelerated Network Performance Monitoring System

G-NetMon: A GPU-accelerated Network Performance Monitoring System for Large Scale Scientific Collaborations

Real-Time All-in-Focus Video-Based Rendering Using A Network Camera Array

Graphics Processing Units for Handhelds

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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