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A Method for Large-Scale Terrain Rendering Based-on GPU

Yi Zhu, Xiong Shi, Xiaoli Li

Tags: Algorithms, Computer science, Rendering

April 27, 2011 by hgpu

GPU accelerated preprocessing for potential-visible set

Bangquan Liu, Zhen Liu, Yang Lan

Tags: Algorithms, Computer science, Rendering

April 27, 2011 by hgpu

GRS – GPU radix sort for multifield records

Shibdas Bandyopadhyay, Sartaj Sahni

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Tags: Algorithms, Computer science, CUDA, nVidia, Sorting, Tesla C1060

April 27, 2011 by hgpu

Real-time simulation of large-scale dynamic forest with GPU

Long Zhang, Yubo Zhang, Wei Chen, Qunsheng Peng

Tags: 3D Graphics and Realism, Computer science, Real-time graphics

April 27, 2011 by hgpu

A GPU Based 3D Object Retrieval Approach Using Spatial Shape Information

Qian Zhang, Jinyuan Jia, Hongyu Li

Tags: 3D Graphics and Realism, Computer science, Computer vision, Rendering

April 26, 2011 by hgpu

Model-T: Rethinking the OS for terabit speeds

Willem de Bruijn, Herbert Bos

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Tags: Computer science, Memory model, Networks, nVidia, nVidia GeForce 8800 Ultra

April 26, 2011 by hgpu

GPU accelerated fast FEM deformation simulation

Youquan Liu, Shaohui Jiao, Wen Wu, Suvranu De

Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce 8800 GTX

April 25, 2011 by hgpu

Parallel 3D Finite Difference Time Domain Simulations on Graphics Processors with Cuda

Du Liuge, Li Kang, Kong Fanmin

Tags: Computer science, CUDA, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GT 200

April 25, 2011 by hgpu

MultiGPU computing using MPI or OpenMP

Gabriel Noaje, Michael Krajecki, Christophe Jaillet

Tags: Computer science, GPU cluster, MPI, OpenMP

April 25, 2011 by hgpu

Scalable Software Defined FM-radio receiver running on desktop computers

P. Szegvari, C. Hentschel

Tags: Algorithms, Computer science, FPGA, Signal processing

April 25, 2011 by hgpu

Flexible Pixel Compositor for Plug-and-Play Multi-Projector Displays

Ruigang Yang, Daniel R. Rudolf, Vijai Raghunathan

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Tags: Computer science, FPGA, GPU cluster, Rendering

April 25, 2011 by hgpu

Exploiting SPMD Horizontal Locality to Improve Memory Efficiency

C. Gou, G. Gaydadjiev

Tags: Computer science, Memory, Performance

April 25, 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

A Method for Large-Scale Terrain Rendering Based-on GPU

GPU accelerated preprocessing for potential-visible set

GRS – GPU radix sort for multifield records

Real-time simulation of large-scale dynamic forest with GPU

A GPU Based 3D Object Retrieval Approach Using Spatial Shape Information

Model-T: Rethinking the OS for terabit speeds

GPU accelerated fast FEM deformation simulation

Parallel 3D Finite Difference Time Domain Simulations on Graphics Processors with Cuda

MultiGPU computing using MPI or OpenMP

Scalable Software Defined FM-radio receiver running on desktop computers

Flexible Pixel Compositor for Plug-and-Play Multi-Projector Displays

Exploiting SPMD Horizontal Locality to Improve Memory Efficiency

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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