high performance computing on graphics processing units: hgpu.org

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Study on GPU-accelerated extraction of interconnects parasitic using CUDA and MPI

Xiaoyu Xu, Guoqiang Liu, Hui Qu, Wei Xu, Yang Zhang

Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, Sparse matrix

March 6, 2011 by hgpu

A Stream Processor Cluster Architecture Model with the Hybrid Technology of MPI and CUDA

Qing-kui Chen, Jia-kang Zhang

Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, Programming techniques

March 4, 2011 by hgpu

Multi-GPU Performance of Incompressible Flow Computation by Lattice Boltzmann Method on GPU Cluster

Xian Wang, Takayuki Aoki

Tags: CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, nVidia

March 4, 2011 by hgpu

UCHPC – UnConventional High Performance Computing for Finite Element Simulations

Stefan Turek, Dominik Goddeke, Christian Becker, Sven H.M. Buijssen, Hilmar Wobker

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Tags: Finite element method, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 5600, Physics

March 1, 2011 by hgpu

Co-processor acceleration of an unmodified parallel solid mechanics code with FEASTGPU

Dominik Goddeke, Hilmar Wobker, Robert Strzodka, Jamaludin Mohd-Yusof, Patrick McCormick, Stefan Turek

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Tags: CUDA, Finite element method, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 5600, Physics

March 1, 2011 by hgpu

Efficient Finite Element Geometric Multigrid Solvers for Unstructured Grids on GPUs

Markus Geveler, Dirk Ribbrock, Dominik Goddeke, Peter Zajac, Stefan Turek

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Source codes

Tags: Cell processor, CUDA, Finite element method, Fluid dynamics, GPU cluster, MPI, nVidia, nVidia GeForce GTX 285, Package

March 1, 2011 by hgpu

Performance and accuracy of Lattice-Boltzmann kernels on multi- and manycore architectures

Dirk Ribbrock, Markus Geveler, Dominik Goddeke, Stefan Turek

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Source codes

Tags: Cell processor, CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, Package

March 1, 2011 by hgpu

Lattice-Boltzmann Simulation of the Shallow-Water Equations with Fluid-Structure Interaction on Multi- and Manycore Processors

Markus Geveler, Dirk Ribbrock, Dominik Goddeke, and Stefan Turek

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Source codes

Tags: Cell processor, CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, Package

March 1, 2011 by hgpu

A Simulation Suite for Lattice-Boltzmann based Real-Time CFD Applications Exploiting Multi-Level Parallelism on modern Multi- and Many-Core Architectures

Markus Geveler, Dirk Ribbrock, Sven Mallach, Dominik Goddeke

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Source codes

Tags: Cell processor, CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, Package

March 1, 2011 by hgpu

HORIZON: Accelerated General Relativistic Magnetohydrodynamics

Burkhard Zink

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Tags: Computational Physics, CUDA, General Relativity and Quantum Cosmology, GPU cluster, Gravitation, Instrumentation and Methods for Astrophysics, Magnetohydrodynamics, MPI, nVidia, nVidia GeForce GTX 580, Tesla C2070

February 28, 2011 by hgpu

Handbook of open source tools

Sandeep Koranne

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Tags: Book, Cluster computing, Computer science, CUDA, MPI, nVidia, OpenCL, Pthreads

February 26, 2011 by hgpu

An MPI-CUDA Implementation for Massively Parallel Incompressible Flow Computations on Multi-GPU Clusters

Dana A. Jacobsen, Julien C. Thibault, Inanc Senocak

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Tags: CUDA, Fluid dynamics, GPU cluster, MPI, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTX 260, Tesla C1060, Tesla C870, Tesla S1070, Tesla S870

February 24, 2011 by hgpu

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Study on GPU-accelerated extraction of interconnects parasitic using CUDA and MPI

A Stream Processor Cluster Architecture Model with the Hybrid Technology of MPI and CUDA

Multi-GPU Performance of Incompressible Flow Computation by Lattice Boltzmann Method on GPU Cluster

UCHPC – UnConventional High Performance Computing for Finite Element Simulations

Co-processor acceleration of an unmodified parallel solid mechanics code with FEASTGPU

Efficient Finite Element Geometric Multigrid Solvers for Unstructured Grids on GPUs

Performance and accuracy of Lattice-Boltzmann kernels on multi- and manycore architectures

Lattice-Boltzmann Simulation of the Shallow-Water Equations with Fluid-Structure Interaction on Multi- and Manycore Processors

A Simulation Suite for Lattice-Boltzmann based Real-Time CFD Applications Exploiting Multi-Level Parallelism on modern Multi- and Many-Core Architectures

HORIZON: Accelerated General Relativistic Magnetohydrodynamics

Handbook of open source tools

An MPI-CUDA Implementation for Massively Parallel Incompressible Flow Computations on Multi-GPU Clusters

Recent source codes

TensorCorePTX: PTX Tensor Core GEMM Exploration

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

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