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High performance finite difference PDE solvers on GPUs

Daniel Egloff

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Tags: CUDA, Finance, Finite difference, nVidia, Partial differential equations, PDEs, Risk Management, Tesla C1060

October 16, 2011 by hgpu

Liszt: A Domain Specific Language for Building Portable Mesh-based PDE Solvers

Zachary DeVito, Niels Joubert, Francisco Palacios, Stephen Oakley, Montserrat Medina, Mike Barrientos, Erich Elsen, Frank Ham, Alex Aiken, Karthik Duraisamy, Eric Darve, Juan Alonso, Pat Hanrahan

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Tags: Code generation, Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Package, Partial differential equations, PDEs, Performance, Programming Languages, Tesla C2050

October 14, 2011 by hgpu

A GPU-Accelerated Parallel Preconditioner for the Solution of the Boltzmann Transport Equation for Semiconductors

Karl Rupp, Ansgar Jungel, Tibor Grasser

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Tags: Boltzmann equation, Computer science, Differential equations, Factorization, nVidia, nVidia GeForce GTX 580, OpenCL, Partial differential equations, PDEs

October 10, 2011 by hgpu

Performance Analysis and Optimisation of the OP2 Framework on Many-core Architectures

M.B. Giles, G.R. Mudalige, Z. Sharif, G. Markall, P.H.J. Kelly

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Tags: Benchmarking, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 260, OpenMP, Partial differential equations, PDEs, Tesla C2050

October 5, 2011 by hgpu

Fine-grained Parallel ILU Preconditioners with Fill-ins for Multi-core CPUs and GPUs

Vincent Heuveline, Dimitar Lukarski and Jan-philipp Weiss

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Tags: Algorithms, Computer science, FEM, Finite element method, Heterogeneous systems, Numerical simulation, OpenCL, Package, Partial differential equations, PDEs

October 4, 2011 by hgpu

Real-time, accurate depth of field using anisotropic diffusion and programmable graphics cards

Marcelo Bertalmio, Pere Fort, Daniel Sanchez-Crespo

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Differential equations, nVidia, nVidia GeForce FX 5950 Ultra, Partial differential equations, PDEs, Rendering

September 1, 2011 by hgpu

Potential contribution of CNN-based solving of stiff ODEs and PDEs to enabling real-time Computational Engineering

J.C. Chedjou, K. Kyamakya, U.A. Khan, M.A. Latif

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Tags: Cellular neural networks, CNN, Computational Engineering, Computer science, Differential equations, DSP, FPGA, Maxwell's equations, Neural networks, ODEs, Optimization, Ordinary differential equations, Partial differential equations, PDEs

August 2, 2011 by hgpu

Near-real-time simulations of biolelectric activity in small mammalian hearts using graphical processing units

E.J. Vigmond, P.M. Boyle, L.J. Leon, G. Plank

Tags: Biology, Heart, Medicine, ODEs, Ordinary differential equations, Partial differential equations, PDEs

July 27, 2011 by hgpu

High-Performance Reverse Time Migration on GPU

Javier Cabezas, Mauricio Araya-Polo, Isaac Gelado, Nacho Navarro, Enric Morancho, Jose M. Cela

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Tags: CUDA, Earth and Space Sciences, Finite difference, Geoscience, nVidia, nVidia GeForce GTX 280, Partial differential equations, PDEs

July 22, 2011 by hgpu

Improving the Performance of the Sparse Matrix Vector Product with GPUs

F. Vazquez, G. Ortega, J.J. Fernandez, E.M. Garzon

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Partial differential equations, PDEs, Sparse matrix

July 17, 2011 by hgpu

A multi-platform linear algebra toolbox for finite element solvers on heterogeneous clusters

V. Heuveline, C. Subramanian, D. Lukarski, J.-P. Weiss

Tags: Finite element method, Heterogeneous systems, Linear Algebra, Mathematics, Partial differential equations, PDEs

June 14, 2011 by hgpu

A framework for parallel unstructured grid applications on GPUs

Mike Giles

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Tags: Code generation, Computer science, CUDA, GPU cluster, MPI, nVidia, OpenCL, OpenMP, Package, PDEs, Presentation

June 5, 2011 by hgpu

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

High performance finite difference PDE solvers on GPUs

Liszt: A Domain Specific Language for Building Portable Mesh-based PDE Solvers

A GPU-Accelerated Parallel Preconditioner for the Solution of the Boltzmann Transport Equation for Semiconductors

Performance Analysis and Optimisation of the OP2 Framework on Many-core Architectures

Fine-grained Parallel ILU Preconditioners with Fill-ins for Multi-core CPUs and GPUs

Real-time, accurate depth of field using anisotropic diffusion and programmable graphics cards

Potential contribution of CNN-based solving of stiff ODEs and PDEs to enabling real-time Computational Engineering

Near-real-time simulations of biolelectric activity in small mammalian hearts using graphical processing units

High-Performance Reverse Time Migration on GPU

Improving the Performance of the Sparse Matrix Vector Product with GPUs

A multi-platform linear algebra toolbox for finite element solvers on heterogeneous clusters

A framework for parallel unstructured grid applications on GPUs

Recent source codes

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

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