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COFFEE: an Optimizing Compiler for Finite Element Local Assembly

Fabio Luporini, Ana Lucia Varbanescu, Florian Rathgeber, Gheorghe-Teodor Bercea, J. Ramanujam, David A. Ham, Paul H.J. Kelly

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Tags: Compilers, Computer science, Differential equations, FEM, Finite element method, Intel Xeon Phi, Mathematical Software, Partial differential equations, PDEs

July 10, 2014 by hgpu

High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System

Manob Jyoti Saikia, Rajan Kanhirodan, Ram Mohan Vasu

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Tags: CUDA, FEM, Finite element method, Image processing, Medicine, nVidia, Tesla K20, Tomography

June 6, 2014 by hgpu

A Step towards Energy Efficient Computing: Redesigning A Hydrodynamic Application on CPU-GPU

Tingxing Dong, Veselin Dobrev, Tzanio Kolev, Robert Rieben, Stanimire Tomov, Jack Dongarra

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Tags: Computer science, CUDA, FEM, Finite element method, Linear Algebra, nVidia, Tesla K20

May 20, 2014 by hgpu

Parallel Solving Massive Linear Equations with CUDA

Zheng Xia

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 295

May 7, 2014 by hgpu

GPU-based Parallel Computing for Nonlinear Finite Element Deformation Analysis

Ramin Mafi

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Tags: CUDA, FEM, Finite element method, Image registration, nVidia, nVidia GeForce GTX 470, Physics, Surgical simulation, Thesis

May 5, 2014 by hgpu

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers

M.Wozniak, K.Kuznik, M. Paszynski, V. M. Calo, D. Pardo

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 780, Performance, Tesla C2070

April 21, 2014 by hgpu

An Approach to Efficient FEM Simulations on Graphics Processing Units Using CUDA

Bjorn Nutti, Dragan Marinkovic

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, FEM, Finite element method, nVidia, nVidia GeForce 8800 GTX

April 14, 2014 by hgpu

An optimized algorithm for discrete element system analysis using CUDA

Zhaosong Ma, Chun Feng, Tianping Liu, Shihai Li

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Tags: Algorithms, Computer science, CUDA, Finite element method, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 460, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Tesla C2070

March 17, 2014 by hgpu

Efficient Preconditioned Conjugate Gradient Parallelization on GPU

A. F. P. Camargos, V. C. Silva

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Tags: Conjugate gradient solver, CUDA, Electrodynamics, Factorization, FEM, Finite element method, nVidia, nVidia GeForce GT 240

March 12, 2014 by hgpu

Multilayered Abstractions for Partial Differential Equations

Graham Robert Markall

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Code generation, CUDA, Differential equations, FEM, Finite element method, Mathematics, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL, Partial differential equations, PDEs, Software Engineering, Thesis

December 11, 2013 by hgpu

Graph grammar based multi-frontal direct solver for isogeometric FEM simulations on GPU

M. Paszynski, K. Kuznik, V.M. Calo, D. Pardo

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, Tesla C2070

November 23, 2013 by hgpu

Numerical integration on GPUs for higher order finite elements

Krzysztof Banas, Przemyslaw Plaszewski, Pawel Maciol

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Tags: ATI, ATI Radeon HD 5870, Computer science, FEM, Finite element method, Mathematical Software, nVidia, nVidia GeForce GTX 580, OpenCL

October 7, 2013 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

COFFEE: an Optimizing Compiler for Finite Element Local Assembly

High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System

A Step towards Energy Efficient Computing: Redesigning A Hydrodynamic Application on CPU-GPU

Parallel Solving Massive Linear Equations with CUDA

GPU-based Parallel Computing for Nonlinear Finite Element Deformation Analysis

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers

An Approach to Efficient FEM Simulations on Graphics Processing Units Using CUDA

An optimized algorithm for discrete element system analysis using CUDA

Efficient Preconditioned Conjugate Gradient Parallelization on GPU

Multilayered Abstractions for Partial Differential Equations

Graph grammar based multi-frontal direct solver for isogeometric FEM simulations on GPU

Numerical integration on GPUs for higher order finite elements

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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