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A framework for cost based optimization of hybrid CPU/GPU query plans in database systems

Sebastian Bress, Ingolf Geist, Eike Schallehn, Maik Mory, Gunter Saake

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia

July 15, 2013 by hgpu

KernelGen – the design and implementation of a next generation compiler platform for accelerating numerical models on GPUs

Dmitry Mikushin, Nikolay Likhogrud, Eddy Zheng Zhang, Christopher Bergstrom

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Tags: Code generation, Compilers, Computer science, CUDA, Fortran, nVidia, OpenACC, Package, PTX, Tesla K20

July 15, 2013 by hgpu

Parallelization of SAT Algorithms on GPUs

Carlos Costa

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Tags: Algorithms, Computer science, CUDA, nVidia, SAT

July 15, 2013 by hgpu

CUDA-C implementation of the ADER-DG method for linear hyperbolic PDEs

C. E. Castro, J. Behrens, C. Pelties

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Tags: CUDA, Differential equations, Earth and Space Sciences, Geoscience, Hyperbolic PDEs, Matrix multiplication, nVidia, Partial differential equations, PDEs, Tesla C2070

July 15, 2013 by hgpu

GPU Based Implementation of Recursive Digital Filtering Algorithms

Dong-hwan Lee, Wonyong Sung

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Tags: Algorithms, CUDA, Filtering, nVidia, nVidia GeForce GTX 285, Signal processing

July 15, 2013 by hgpu

Exploiting Space and Time Coherence in Grid-based Sorting

Rubens Carlos Silva Oliveira, Claudio Esperanca, Antonio Oliveira

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Collision detection, Computer science, nVidia, nVidia GeForce GT 540 M, OpenCL, Particle simulation, Sorting

July 15, 2013 by hgpu

Near-LSPA Performance at MSA Complexity

Joao Andrade, Gabriel Falcao, Vitor Silva, Joao P. Barreto, Nuno Goncalves, Valentin Savin

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Tags: Computer science, CUDA, nVidia, Parity-check codes, Tesla M2050

July 15, 2013 by hgpu

Equilibrium and Non-Equilibrium Ising Models by Means of PCA

Carlo Lancia, Benedetto Scoppola

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Tags: CUDA, Ising model, Mathematical Physics, Nearest neighbour, nVidia, Physics, Tesla K20

July 14, 2013 by hgpu

Benchmarking Intel Xeon Phi to Guide Kernel Design

Jianbin Fang, Ana Lucia Varbanescu, Henk Sips, Lilun Zhang, Yonggang Che, Chuanfu Xu

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Tags: Benchmarking, Computer science, Intel, Intel Phi, Performance

July 14, 2013 by hgpu

The CUDA Handbook: A Comprehensive Guide to GPU Programming

Nicholas Wilt

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Tags: Book, Computer science, CUDA, Image processing, N-body simulation, nVidia, Overview, Package

July 13, 2013 by hgpu

Identifying the Key Features of Intel Xeon Phi: A Comparative Approach

Jianbin Fang, Ana Lucia Varbanescu, Henk Sips

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Tags: Computer science, Intel, Intel Phi, Performance

July 13, 2013 by hgpu

Optimized MFCC Feature Extraction on GPU

Haofeng Kou, Weijia Shang, Ian Lane, Jike Chong

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Speech recognition

July 13, 2013 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

A framework for cost based optimization of hybrid CPU/GPU query plans in database systems

KernelGen – the design and implementation of a next generation compiler platform for accelerating numerical models on GPUs

Parallelization of SAT Algorithms on GPUs

CUDA-C implementation of the ADER-DG method for linear hyperbolic PDEs

GPU Based Implementation of Recursive Digital Filtering Algorithms

Exploiting Space and Time Coherence in Grid-based Sorting

Near-LSPA Performance at MSA Complexity

Equilibrium and Non-Equilibrium Ising Models by Means of PCA

Benchmarking Intel Xeon Phi to Guide Kernel Design

The CUDA Handbook: A Comprehensive Guide to GPU Programming

Identifying the Key Features of Intel Xeon Phi: A Comparative Approach

Optimized MFCC Feature Extraction on GPU

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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