high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Mathematics

Extending the Generalized Fermat Prime Number Search Beyond One Million Digits Using GPUs

Iain Bethune, Michael Goetz

View

Download (PDF)

Source codes

Tags: CUDA, Mathematics, nVidia, nVidia GeForce GTX 460, Package

February 27, 2014 by hgpu

ShearLab 3D: Faithful Digital Shearlet Transforms based on Compactly Supported Shearlets

Gitta Kutyniok, Wang-Q Lim, Rafael Reisenhofer

View

Download (PDF)

Tags: CUDA, Image processing, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 650 Ti, Wavelet

February 26, 2014 by hgpu

Fast Hamiltonian Monte Carlo Using GPU Computing

Andrew L. Beam, Sujit K. Ghosh, Jon Doyle

View

Download (PDF)

Source codes

Tags: Algorithms, Bayesian, CUDA, CULA, Monte Carlo simulation, nVidia, Package, Python, Statistics, Tesla K20

February 19, 2014 by hgpu

GPU acceleration of Newton’s method for large systems of polynomial equations in double double and quad double arithmetic

Jan Verschelde, Xiangcheng Yu

View

Download (PDF)

Tags: Algorithms, CUDA, Extended precision, Linear Algebra, Mathematics, nVidia, Tesla C2050, Tesla K20

January 26, 2014 by hgpu

Optimal polygonal L1 linearization and fast interpolation of nonlinear systems

Guillermo Gallego, Daniel Berjon, Narciso Garcia

View

Download (PDF)

Tags: CUDA, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 580, Optimization

January 2, 2014 by hgpu

Graphics Processing Units in Acceleration of Bandwidth Selection for Kernel Density Estimation

Witold Andrzejewski, Artur Gramacki, Jaroslaw Gramacki

View

Download (PDF)

Source codes

Tags: Algorithms, CUDA, nVidia, nVidia GeForce GTX 480, Package, Probability, Statistics

December 24, 2013 by hgpu

Augur: a Modeling Language for Data-Parallel Probabilistic Inference

Jean-Baptiste Tristan, Daniel Huang, Joseph Tassarotti, Adam Pocock, Stephen J. Green, Guy L. Steele Jr

View

Download (PDF)

Tags: Bayesian, CUDA, Machine learning, Mathematics, nVidia, nVidia GeForce GTX Titan, Programming Languages, Statistics

December 13, 2013 by hgpu

Multilayered Abstractions for Partial Differential Equations

Graham Robert Markall

View

Download (PDF)

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

Optimizing Data Locality for Iterative Matrix Solvers on CUDA

Raymond Flagg, Jason Monk, Yifeng Zhu, Bruce Segee

View

Download (PDF)

Tags: CUDA, Mathematics, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680

December 4, 2013 by hgpu

Designing Scientific Applications on GPUs

Raphael Couturier

View

Download (PDF)

Source codes

Tags: Book, Computer science, CUDA, Factorization, Fluid simulation, Image processing, Mathematics, nVidia, Physics, Tutorial

November 13, 2013 by hgpu

SIMD Parallel Gibbs Sampling of Probabilistic Directed Acyclic Graphs

Alireza S. Mahani, Mansour T.A. Sharabiani

View

Download (PDF)

Tags: Artificial intelligence, Bayesian, Intel Phi, Intel Xeon Phi, OpenMP, Statistics

October 22, 2013 by hgpu

Massively parallel approximate Gaussian process regression

Robert B. Gramacy, Jarad Niemi, Robin Weiss

View

Download (PDF)

Tags: Cluster computing, CUDA, nVidia, Statistics, Tesla M2090

October 22, 2013 by hgpu

* * *

Octo-Tiger: Astrophysics program simulating the evolution of star systems based on the fast multipole method on adaptive Octrees

Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL

BAT: A standardized benchmark suite for auto-tuners

Towards a Benchmarking Suite for Kernel Tuners

BenchDirect: A Directed Language Model for Compiler Benchmarks

A Deep Learning Model for Loop Interchange

Bridging Control-Centric and Data-Centric Optimization

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE

EvoTorch: Scalable Evolutionary Computation in Python

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Extending the Generalized Fermat Prime Number Search Beyond One Million Digits Using GPUs

ShearLab 3D: Faithful Digital Shearlet Transforms based on Compactly Supported Shearlets

Fast Hamiltonian Monte Carlo Using GPU Computing

GPU acceleration of Newton’s method for large systems of polynomial equations in double double and quad double arithmetic

Optimal polygonal L1 linearization and fast interpolation of nonlinear systems

Graphics Processing Units in Acceleration of Bandwidth Selection for Kernel Density Estimation

Augur: a Modeling Language for Data-Parallel Probabilistic Inference

Multilayered Abstractions for Partial Differential Equations

Optimizing Data Locality for Iterative Matrix Solvers on CUDA

Designing Scientific Applications on GPUs

SIMD Parallel Gibbs Sampling of Probabilistic Directed Acyclic Graphs

Massively parallel approximate Gaussian process regression

Recent source codes

E2C-Sim: a simulator and workload generator for Edge-to-Cloud environments

Kernel Tuner

Clava: C/C++ Source-to-Source Tool based on Clang

gpuLik

Octo-Tiger: Astrophysics program simulating the evolution of star systems based on the fast multipole method on adaptive Octrees

BAT: A standardized benchmark suite for auto-tuners

BenchDirect: A Directed Language Model for Compiler Benchmarks

A Deep Learning Model for Loop Interchange

Bridging Control-Centric and Data-Centric Optimization

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE

Most viewed papers (last 30 days)