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Scheduling by Work-Stealing in Hybrid Parallel Architectures

Vinicius Garcia Pinto, Nicolas Maillard

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Performance, Task scheduling

July 24, 2013 by hgpu

CDFC: Collision Detection Based on Fuzzy Clustering for Deformable Objects on GPU’s

David Mainzer, Gabriel Zachmann

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Tags: Algorithms, Clustering, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

July 24, 2013 by hgpu

Multi-core CUDA Architecture for Parallelization of Hierarchical Text Clustering

Debasis Pattanaik, Ajaya Kumar Malik, Pradeep Kumar Mallick

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Tags: Clustering, Computer science, CUDA, Databases, Hierarchical clustering, nVidia, nVidia GeForce 8800 GTX

July 22, 2013 by hgpu

An overview of techniques for predicting the performance of GPU accelerated applications

Rafael Keller Tesser, Philippe O. A. Navaux

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Tags: Computer science, CUDA, nVidia, Overview, Performance

July 22, 2013 by hgpu

Automatic Generation of FFT Libraries for GPU Platforms

Christos Angelopoulos

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 260, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Thesis

July 22, 2013 by hgpu

Experimental Evaluation of Thread Distribution Effects on Multiple Output Errors in GPUs

P. Rech, C. Aguiar, C. Frost, L. Carro

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Tags: Computer science, CUDA, Fault tolerance, nVidia, nVidia GeForce GTX 480

July 21, 2013 by hgpu

Detecting parametric objects in large scenes by Monte Carlo sampling

Yannick Verdie, Florent Lafarge

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia Quadro FX 4800

July 21, 2013 by hgpu

Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming

Simon Marlow

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Tags: Algorithms, Book, Computer science, Haskell

July 21, 2013 by hgpu

An Efficient Deterministic Parallel Algorithm for Adaptive Multidimensional Numerical Integration on GPUs

Kamesh Arumugam, Alexander Godunov, Desh Ranjan, Balsa Terzic, Mohammad Zubair

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla M2090

July 20, 2013 by hgpu

OpenCL API Extensions to achieve Multi-level Parallelism for Efficient Implementation of Strassen’s Matrix Multiplication on GPUs

Sivaramakrishnan Kasiviswanathan

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Tags: Algorithms, Computer science, Data parallelism, Matrix multiplication, nVidia, OpenCL, Tesla K20

July 19, 2013 by hgpu

HAccRG: Hardware-Accelerated Data Race Detection in GPUs

Anup Holey, Vineeth Mekkat, Antonia Zhai

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia Quadro FX 5800, Performance

July 19, 2013 by hgpu

Methods for Optimizing OpenCL Applications on Heterogeneous Multicore Architectures

Slo-Li Chu, Chih-Chieh Hsiao

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Tags: ATI, ATI Radeon HD 4670, ATI Radeon HD 5850, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 220, nVidia GeForce GTX 285, OpenCL, Optimization, Playstation

July 19, 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

Scheduling by Work-Stealing in Hybrid Parallel Architectures

CDFC: Collision Detection Based on Fuzzy Clustering for Deformable Objects on GPU’s

Multi-core CUDA Architecture for Parallelization of Hierarchical Text Clustering

An overview of techniques for predicting the performance of GPU accelerated applications

Automatic Generation of FFT Libraries for GPU Platforms

Experimental Evaluation of Thread Distribution Effects on Multiple Output Errors in GPUs

Detecting parametric objects in large scenes by Monte Carlo sampling

Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming

An Efficient Deterministic Parallel Algorithm for Adaptive Multidimensional Numerical Integration on GPUs

OpenCL API Extensions to achieve Multi-level Parallelism for Efficient Implementation of Strassen’s Matrix Multiplication on GPUs

HAccRG: Hardware-Accelerated Data Race Detection in GPUs

Methods for Optimizing OpenCL Applications on Heterogeneous Multicore Architectures

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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