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High-Performance General Solver for Extremely Large-Scale Semidefinite Programming Problems

Katsuki Fujisawa, Hitoshi Sato, Satoshi Matsuoka, Toshio Endo, Makoto Yamashita, Maho Nakata

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, Optimization, Tesla M2050

November 21, 2012 by hgpu

ValuePack: value-based scheduling framework for CPU-GPU clusters

Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat Chakradhar

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Tags: Cloud, Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, Tesla C2050

November 21, 2012 by hgpu

An Adaptive Multiresolution Mesh Representation for CPU-GPU Coupled Computation

Andre Maximo, Luiz Velho, Marcelo Siqueira

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 560 Ti, OpenGL, Visualization

November 21, 2012 by hgpu

Pattern Recognition with OpenCL Heterogeneous Platform

Jordan Vrtanoski, Toni Draganov Stojanovski

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, Heterogeneous systems, Neural networks, OpenCL, Pattern recognition

November 21, 2012 by hgpu

Dataflow-driven GPU performance projection for multi-kernel transformations

Jiayuan Meng, Vitali A. Morozov, Venkatram Vishwanath, Kalyan Kumaran

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 5600, Performance, Tesla C1060

November 20, 2012 by hgpu

Accelerating MapReduce on a coupled CPU-GPU architecture

Linchuan Chen, Xin Huo, Gagan Agrawal

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Tags: APU, ATI, ATI Radeon HD 6550, Computer science, Data mining, Heterogeneous systems, Machine learning, MapReduce, OpenCL

November 20, 2012 by hgpu

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

Li-Wen Chang, John A. Stratton, Hee-Seok Kim, Wen-Mei W. Hwu

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 480, Package, Tesla M2070

November 20, 2012 by hgpu

MPC Toolbox with GPU Accelerated Optimization Algorithms

Nicolai Fog Gade-Nielsen, John Bagterp Jorgensen, Bernd Dammann

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla C2050

November 20, 2012 by hgpu

Krylov Subspace Accelerated Algebraic Multigrid for Mimetic Finite Differences on GPUs

Simen Andreas Andreassen Lonsethagen

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Tags: CUDA, Finite difference, Linear Algebra, Mathematics, nVidia, nVidia GeForce GTX 570, Thesis

November 20, 2012 by hgpu

CUDA-enabled Optimisation of Technical Analysis Parameters

John O'Rourke, John Burns

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Tags: CUDA, Finance, Genetic programming, nVidia, nVidia GeForce GT 430, nVidia GeForce GTX 480

November 19, 2012 by hgpu

Modern GPGPU Frameworks and their Application to the Physical Core of the ASUCA Weather Prediction Model

Michel Muller

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Tags: CUDA, Earth and Space Sciences, Fortran, nVidia, OpenACC, Tesla M2050, Thesis, Weather prediction, Weather Prediction Model

November 19, 2012 by hgpu

Parallel Search of k-Nearest Neighbors with Synchronous Operations

Nikos Sismanis, Nikos Pitsianis, Xiaobai Sun

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Tags: Algorithms, Computer science, CUDA, Nearest neighbour, nVidia, nVidia GeForce GTX 480

November 19, 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

Applications

High-Performance General Solver for Extremely Large-Scale Semidefinite Programming Problems

An Adaptive Multiresolution Mesh Representation for CPU-GPU Coupled Computation

Pattern Recognition with OpenCL Heterogeneous Platform

Dataflow-driven GPU performance projection for multi-kernel transformations

Accelerating MapReduce on a coupled CPU-GPU architecture

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

MPC Toolbox with GPU Accelerated Optimization Algorithms

Krylov Subspace Accelerated Algebraic Multigrid for Mimetic Finite Differences on GPUs

CUDA-enabled Optimisation of Technical Analysis Parameters

Modern GPGPU Frameworks and their Application to the Physical Core of the ASUCA Weather Prediction Model

Parallel Search of k-Nearest Neighbors with Synchronous Operations

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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