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The density matrix renormalization group algorithm on kilo-processor architectures: implementation and trade-offs

Csaba Nemes, Gergely Barcza, Zoltan Nagy, Ors Legeza, Peter Szolgay

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Tags: Algorithms, Condensed matter, CUDA, FPGA, Numerical Analysis, nVidia, nVidia GeForce GTX 570, Physics, Tesla K20

September 25, 2013 by hgpu

Exponential Integrators on Graphics Processing Units

Lukas Einkemmer, Alexander Ostermann

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Tags: Computer science, CUDA, Differential equations, Numerical Analysis, nVidia, Tesla C1060, Tesla C2075

September 20, 2013 by hgpu

A Parallel Algorithm for Calculation of Large Determinants with High Accuracy for GPUs and MPI clusters

Gleb Beliakov, Yuri Matiyasevich

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, MPI, Number Theory, Numerical Analysis, nVidia, Tesla C2070

August 12, 2013 by hgpu

Surface Reconstruction from Scattered Point via RBF Interpolation on GPU

Salvatore Cuomo, Ardelio Gallettiy, Giulio Giuntay, Alfredo Staracey

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Tags: Computer science, CUDA, Numerical Analysis, nVidia, Tesla C1060

May 23, 2013 by hgpu

Solving Wave Equations on Unstructured Geometries

Andreas Klockner, Timothy Warburton, Jan S. Hesthaven

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Tags: Computer science, Mathematical Software, Numerical Analysis, nVidia, nVidia GeForce GTX 295, OpenCL, Package, Python, Wave equation

April 23, 2013 by hgpu

Matrix-free GPU implementation of a preconditioned conjugate gradient solver for anisotropic elliptic PDEs

Eike Mueller, Xu Guo, Robert Scheichl, Sinan Shi

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, Differential equations, Numerical Analysis, nVidia, Partial differential equations, PDEs, Tesla M2090

March 2, 2013 by hgpu

Parallel Unsmoothed Aggregation Algebraic Multigrid Algorithms on GPUs

James Brannick, Yao Chen, Xiaozhe Hu, Ludmil Zikatanov

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Tags: CUDA, Mathematics, Numerical Analysis, nVidia, Tesla C2070

February 12, 2013 by hgpu

A GPU-accelerated Direct-sum Boundary Integral Poisson-Boltzmann Solver

Weihua Geng, Ferosh Jacob

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Tags: Biomolecules, CUDA, Electrostatics, Linear Algebra, Mathematics, Molecular surface, Numerical Analysis, nVidia, Poisson Boltzmann, Tesla M2070

January 25, 2013 by hgpu

High Performance Lattice Boltzmann Solvers on Massively Parallel Architectures with Applications to Building Aeraulics

Christian Obrecht

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Tags: Boltzmann equation, CUDA, Fluid dynamics, Lattice Boltzmann model, Navier-Stokes equations, NSEs, Numerical Analysis, nVidia, nVidia GeForce GTX 295, Thesis

January 24, 2013 by hgpu

Theoretical and Numerical Analysis of Three Approaches to the GPGPU Application of the Explicit FDTD Method

Aude Giraud

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, Numerical Analysis, nVidia, Tesla T10, Thesis

December 18, 2012 by hgpu

Hybrid Parallel Streamline Extraction Combining MPI and OpenCL

Michael Vetter, Stephan Olbrich

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Tags: Computer science, MPI, Numerical Analysis, nVidia, OpenCL, Tesla M2070, Visualization

December 12, 2012 by hgpu

Implementing QR Factorization Updating Algorithms on GPUs

Robert Andrew, Nicholas Dingle

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Factorization, Linear Algebra, Numerical Analysis, nVidia, Tesla M2050

December 10, 2012 by hgpu

Genomics-GPU: A Benchmark Suite for GPU-accelerated Genome Analysis

Dragon-Alpha&cu32: A Java-based Tensor Computing Framework With its High-Performance CUDA Library

Beehive SPIR-V Toolkit

Experiences in Building a Composable and Functional API for Runtime SPIR-V Code Generation

TorchBench: a collection of open source benchmarks used to evaluate PyTorch performance

TorchBench: Benchmarking PyTorch with High API Surface Coverage

Prediction of Performance and Power Consumption of GPGPU Applications

Descend: an attempt at safe imperative GPU programming

Descend: A Safe GPU Systems Programming Language

Redwood heterogeneous framework

Redwood: Flexible and Portable Heterogeneous Tree Traversal Workloads

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high performance computing on graphics processing units: hgpu.org

The density matrix renormalization group algorithm on kilo-processor architectures: implementation and trade-offs

Exponential Integrators on Graphics Processing Units

A Parallel Algorithm for Calculation of Large Determinants with High Accuracy for GPUs and MPI clusters

Surface Reconstruction from Scattered Point via RBF Interpolation on GPU

Solving Wave Equations on Unstructured Geometries

Matrix-free GPU implementation of a preconditioned conjugate gradient solver for anisotropic elliptic PDEs

Parallel Unsmoothed Aggregation Algebraic Multigrid Algorithms on GPUs

A GPU-accelerated Direct-sum Boundary Integral Poisson-Boltzmann Solver

High Performance Lattice Boltzmann Solvers on Massively Parallel Architectures with Applications to Building Aeraulics

Theoretical and Numerical Analysis of Three Approaches to the GPGPU Application of the Explicit FDTD Method

Hybrid Parallel Streamline Extraction Combining MPI and OpenCL

Implementing QR Factorization Updating Algorithms on GPUs

Recent source codes

Genomics-GPU: A Benchmark Suite for GPU-accelerated Genome Analysis

AutoDock for GPUs and other accelerators

spotPython: Sequential Parameter Optimization in Python

Test benchmarks for CELERITY

Dragon-Alpha&cu32: A Java-based Tensor Computing Framework With its High-Performance CUDA Library

Beehive SPIR-V Toolkit

TorchBench: a collection of open source benchmarks used to evaluate PyTorch performance

Prediction of Performance and Power Consumption of GPGPU Applications

Descend: an attempt at safe imperative GPU programming

Redwood heterogeneous framework

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