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Phase Transition in 3d Heisenberg Spin Glasses with Strong Random Anisotropies, through a Multi-GPU Parallelization

M. Baity-Jesi, L.A. Fernandez, V. Martin-Mayor, J.M. Sanz

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Tags: Condensed matter, CUDA, Disordered Systems and Neural Networks, GPU cluster, MPI, nVidia, Phase transition, Tesla M2050

September 9, 2013 by hgpu

Implementation of PDE models of cardiac dynamics on GPUs using OpenCL

Christopher D. Marcotte, Roman O. Grigoriev

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Tags: Chaotic Dynamics, Computational Physics, Nonlinear Sciences, nVidia, nVidia GeForce GTX 680, OpenCL, Partial differential equations, PDEs, Physics

September 9, 2013 by hgpu

A GPU Implementation for Two-Dimensional Shallow Water Modeling

Kerry A. Seitz Jr., Alex Kennedy, Owen Ransom, Bassam A. Younis, John D. Owens

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 680

September 9, 2013 by hgpu

GPU Accelerated Particle Visualization with Splotch

Marzia Rivi, Claudio Gheller, Mel Krokos, Klaus Dolag, Martin Reinecke

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Tags: Algorithms, Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, Numerical simulation, nVidia, Rendering, Tesla M2090, Visualization

September 9, 2013 by hgpu

Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs

Furong Huang, Niranjan U N, Mohammad Umar Hakeem, Prateek Verma, Animashree Anandkumar

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Tags: Computer science, CUDA, CULA, Machine learning, nVidia, nVidia Quadro K4000, nVidia Quadro K5000

September 9, 2013 by hgpu

Acceleration of iterative Navier-Stokes solvers on graphics processing units

Tomczak, T., Zadarnowska, K., Koza, Z., Matyka, M., Miroslaw, L.

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Tags: CUDA, Finite volume method, Fluid dynamics, GPU, hardware acceleration, incompressible flow, Navier-Stokes solvers, OpenFOAM, operator splitting, Parallelization, PISO, SIMPLE

September 9, 2013 by Vratis

A Bi-objective Optimization Framework for Query Plans

P. Przymus, K. Kaczmarski, K. Stencel

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Tags: Heterogeneous systems, Performance, Programming techniques

September 7, 2013 by hgpu

GPU-based simulation of brain neuron models

H. A. Du Nguyen

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Tags: CUDA, Neural networks, Neuroscience, nVidia, nVidia GeForce GT 640, Review, Tesla C2075, Thesis

September 7, 2013 by hgpu

Comparison and Analysis of GPU Energy Effciency For CUDA and OpenCL

J. Jackson

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Tags: CUDA, nVidia, nVidia GeForce 9800 GT, OpenCL, Power-efficient computing

September 7, 2013 by hgpu

D5.5.3 – Design and implementation of the SIMD-MIMD GPU architecture

J. Lucas, S. Lal, M. Alvarez-Mesa, A. Alhossini, B. Juurlink

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Tags: CUDA, Performance, Power-efficient computing

September 7, 2013 by hgpu

Combining recent HPC techniques for 3D geophysics acceleration

L. Boillot, E. Agullo, G. Bosilca, H. Calandra

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Tags: Geoscience, Intel Xeon Phi, Seismic modeling

September 7, 2013 by hgpu

D5.5.2 – Architectural Techniques to exploit SLACK & ACCURACY trade-offs

S. Kaxiras, G. Keramidas, K. Koukos

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Tags: Benchmarking, Memory, Power-efficient computing

September 6, 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

Phase Transition in 3d Heisenberg Spin Glasses with Strong Random Anisotropies, through a Multi-GPU Parallelization

Implementation of PDE models of cardiac dynamics on GPUs using OpenCL

A GPU Implementation for Two-Dimensional Shallow Water Modeling

GPU Accelerated Particle Visualization with Splotch

Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs

Acceleration of iterative Navier-Stokes solvers on graphics processing units

A Bi-objective Optimization Framework for Query Plans

GPU-based simulation of brain neuron models

Comparison and Analysis of GPU Energy Effciency For CUDA and OpenCL

D5.5.3 – Design and implementation of the SIMD-MIMD GPU architecture

Combining recent HPC techniques for 3D geophysics acceleration

D5.5.2 – Architectural Techniques to exploit SLACK & ACCURACY trade-offs

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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