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A GPGPU Implementation of Approximate String Matching with Regular Expression Operators and Comparison with Its FPGA Implementation

Yuichiro Utan, Masato Inagi, Shin'ichi Wakabayashi, Shinobu Nagayama

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Tags: Algorithms, Computer science, CUDA, Databases, FPGA, nVidia, String matching, Tesla C2070

September 5, 2012 by hgpu

Approximate Similarity Search for Online Multimedia Services on Distributed CPU-GPU Platforms

George Teodoro, Eduardo Valle, Nathan Mariano, Ricardo Torres, Wagner Meira Jr, Joel H. Saltz

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Tags: Algorithms, Computer science, CUDA, Databases, Nearest neighbour, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 470

September 4, 2012 by hgpu

Massive parallelization of serial inference algorithms for a complex generalized linear model

Marc A. Suchard, Shawn E. Simpson, Ivan Zorych, Patrick Ryan, David Madigan

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Tags: Algorithms, CUDA, Databases, Mathematics, nVidia, Statistics, Tesla C2050

August 9, 2012 by hgpu

Optimizing Data Warehousing Applications for GPUs Using Kernel Fusion/Fission

Haicheng Wu, Gregory Diamos, Ashwin Lele, Jin Wang, Srihari Cadambi, Sudhakar Yalamanchili, Srimat Chakradhar

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Tags: Compilers, Computer science, CUDA, Databases, nVidia, Optimization, Tesla C2070

August 9, 2012 by hgpu

Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems

Kaibo Wang, Yin Huai, Rubao Lee, Fusheng Wang, Xiaodong Zhang, Joel H. Saltz

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Tags: CUDA, Databases, Image processing, nVidia, nVidia GeForce GTX 580, Tesla M2050

August 2, 2012 by hgpu

GPU merge path: a GPU merging algorithm

Oded Green, Robert McColl, David A. Bader

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Tesla C1060, Tesla C2070

August 1, 2012 by hgpu

High-Performance Online Spatial and Temporal Aggregations on Multi-core CPUs and Many-Core GPUs

Jianting Zhang, Simin You, Le Gruenwald

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Tags: Computer science, CUDA, Databases, nVidia, nVidia Quadro FX 6000

July 29, 2012 by hgpu

Speeding up Large-Scale Point-in-Polygon Test Based Spatial Join on GPUs

Jianting Zhang, Simin You

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Tags: Computer science, CUDA, Databases, Filtering, nVidia, nVidia Quadro FX 6000

July 27, 2012 by hgpu

High-Performance Spatial Join Processing on GPGPUs with Applications to Large-Scale Taxi Trip Data

Jianting Zhang, Simin You, Le Gruenwald

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Tags: Computer science, CUDA, Databases, Filtering, Nearest neighbour, nVidia, nVidia Quadro FX 6000

July 27, 2012 by hgpu

Efficient Cross-Device Query Processing

Holger Pirk

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480

July 22, 2012 by hgpu

Optimized Private Information Retrieval Protocol Using Graphics Processing Unit With Reduced Accessibility

Sandip B. Bansode

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Tags: Computer science, CUDA, Databases, Information Retrieval, nVidia, nVidia GeForce GTX 280, Security, Thesis

July 20, 2012 by hgpu

Multicore and Manycore Algorithms for Octrees

Dhanavath Saida

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, Thesis

July 17, 2012 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 GPGPU Implementation of Approximate String Matching with Regular Expression Operators and Comparison with Its FPGA Implementation

Approximate Similarity Search for Online Multimedia Services on Distributed CPU-GPU Platforms

Massive parallelization of serial inference algorithms for a complex generalized linear model

Optimizing Data Warehousing Applications for GPUs Using Kernel Fusion/Fission

Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems

GPU merge path: a GPU merging algorithm

High-Performance Online Spatial and Temporal Aggregations on Multi-core CPUs and Many-Core GPUs

Speeding up Large-Scale Point-in-Polygon Test Based Spatial Join on GPUs

High-Performance Spatial Join Processing on GPGPUs with Applications to Large-Scale Taxi Trip Data

Efficient Cross-Device Query Processing

Optimized Private Information Retrieval Protocol Using Graphics Processing Unit With Reduced Accessibility

Multicore and Manycore Algorithms for Octrees

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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