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The Dynamical Kernel Scheduler – Part 1

Andreas Adelmann, Uldis Locans, Andreas Suter

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Tags: Algorithms, Computational Physics, CUDA, FFT, Intel Xeon Phi, Monte Carlo simulation, nVidia, OpenCL, OpenMP, Physics

September 29, 2015 by hgpu

Scalable Metropolis Monte Carlo for simulation of hard shapes

Joshua A. Anderson, M. Eric Irrgang, Sharon C. Glotzer

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Tags: Benchmarking, Chemistry, Condensed matter, CUDA, Monte Carlo simulation, nVidia, Physics, Soft Condensed Matter, Tesla K20

September 17, 2015 by hgpu

Advanced Simulation Library: Expanding software ecosystem for the DSP/FPGA/GPU market

Avtech Scientific

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Tags: DSP, FPGA, OpenCL, Package, Physics, Presentation

September 3, 2015 by hgpu

Fast GPU-based calculations in few-body quantum scattering

V.N. Pomerantsev, V.I. Kukulin, O.A. Rubtsova, S.K. Sakhiev

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Tags: Computational Physics, CUDA, Integral equations, nVidia, nVidia GeForce GTX 670, Physics

September 3, 2015 by hgpu

A parallel algorithm for implicit depletant simulations

Jens Glaser, Andrew S. Karas, Sharon C. Glotzer

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Tags: Condensed matter, CUDA, Molecular dynamics, nVidia, Package, Physics, Soft Condensed Matter, Tesla K20, Tesla K80

August 31, 2015 by hgpu

Adaptive Multi-GPU Exchange Monte Carlo for the 3D Random Field Ising Model

C. A. Navarro, Huang Wei, Youjin Deng

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Tags: Algorithms, Computational Physics, CUDA, Ising model, Monte Carlo simulation, nVidia, Physics, Spin Systems, Tesla K40

August 27, 2015 by hgpu

GPU computing with OpenCL to model 2D elastic wave propagation: exploring memory usage

Ursula Iturraran-Viveros, Miguel Molero-Armenta

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Tags: Condensed matter, Instrumentation and measurement, nVidia, OpenCL, Package, Physics, PyOpenCL, Python

August 21, 2015 by hgpu

Efficient Numerical Evaluation of Feynman Integral

Zhao Li, Jian Wang, Qi-Shu Yan, Xiaoran Zhao

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Tags: CUDA, High Energy Physics - Phenomenology, nVidia, Physics, QCD, Tesla K20

August 12, 2015 by hgpu

Performance Analysis of a Particle-in-Cell Plasma Physics Code on Homogeneous and Heterogeneous HPC Systems

Xavier Saez, Alejandro Soba, Edilberto Sanchez, Mervi Mantsinen, Jose M. Cela

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Tags: Algorithms, ARM, Heterogeneous systems, nVidia, OpenCL, Particle-in-cell methods, Physics, Plasma physics, Tesla M2090

July 29, 2015 by hgpu

GPU phase-field lattice Boltzmann simulations of growth and motion of a binary alloy dendrite

T. Takaki, R. Rojas, M Ohno, T. Shimokawabe, T. Aoki

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Tags: Alloys, Condensed matter, CUDA, Lattice Boltzmann model, Materials Science, nVidia, Physics, Tesla K20

July 3, 2015 by hgpu

Spectral Ewald Acceleration of Stokesian Dynamics for polydisperse suspensions

Mu Wang, John F. Brady

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Tags: Computational Physics, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 680, Physics, Soft Condensed Matter

July 1, 2015 by hgpu

CPU and GPU Implementation of QCD by using OpenCL

J. Sa, B. Noh, H. Kim, D. Choi, S. Lee, Y. Chung, D. Kim, H. Jang

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Tags: High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 550, OpenCL, Physics, QCD

June 30, 2015 by hgpu

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

NVIDIA Object Oriented Agents

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

Probe-and-Refine Tuning of Repository Guidance for AI Coding Agents

Probe-and-Refine Tuning of Repository Guidance for Coding Agents

CUDAnalyst (CUDA + Analyst)

Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation

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high performance computing on graphics processing units: hgpu.org

The Dynamical Kernel Scheduler – Part 1

Scalable Metropolis Monte Carlo for simulation of hard shapes

Advanced Simulation Library: Expanding software ecosystem for the DSP/FPGA/GPU market

Fast GPU-based calculations in few-body quantum scattering

A parallel algorithm for implicit depletant simulations

Adaptive Multi-GPU Exchange Monte Carlo for the 3D Random Field Ising Model

GPU computing with OpenCL to model 2D elastic wave propagation: exploring memory usage

Efficient Numerical Evaluation of Feynman Integral

Performance Analysis of a Particle-in-Cell Plasma Physics Code on Homogeneous and Heterogeneous HPC Systems

GPU phase-field lattice Boltzmann simulations of growth and motion of a binary alloy dendrite

Spectral Ewald Acceleration of Stokesian Dynamics for polydisperse suspensions

CPU and GPU Implementation of QCD by using OpenCL

Recent source codes

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

NVIDIA Object Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

Probe-and-Refine Tuning of Repository Guidance for AI Coding Agents

CUDAnalyst (CUDA + Analyst)

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