high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Loop Transformation Recipes for Code Generation and Auto-Tuning

Mary Hall, Jacqueline Chame, Chun Chen, Jaewook Shin, Gabe Rudy, Malik Khan

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, OpenMP

February 12, 2011 by hgpu

Automated Dynamic Analysis of CUDA Programs

Michael Boyer, Kevin Skadron, Westley Weimer

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Tags: Computer science, CUDA, nVidia, Optimization, Performance

February 12, 2011 by hgpu

Compiling an Array Language to a Graphics Processor

Bradford Larsen

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT, Thesis

February 11, 2011 by hgpu

The fast multipole method on parallel clusters, multicore processors, and graphics processing units

Eric Darve, Cris Cecka, Toru Takahashi

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Tags: Algorithms, CUDA, Fast multipole method, Fluid dynamics, nVidia, Tesla C1060, Tesla S1070

February 11, 2011 by hgpu

Comparing CUDA and OpenGL implementations for a Jacobi iteration

Ronan Amorim, Gundolf Haase, Manfred Liebmann, Rodrigo Weber dos Santos

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Tags: Computer science, CUDA, GLSL, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 8800 GT, nVidia GeForce GTX 280, OpenGL, Performance

February 11, 2011 by hgpu

Comparison of several parallel API for cloth modelling on modern GPUs

Tzvetomir Ivanov Vassilev

Tags: Computer science, CUDA, GLSL, nVidia, OpenCL, OpenGL, Performance

February 11, 2011 by hgpu

Energy-efficient algorithms

Susanne Albers

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Tags: Algorithms, Computer science, Energy-efficient computing, Green, Review

February 11, 2011 by hgpu

GPU-accelerated indirect boundary element method for voxel model analyses with fast multipole method

Shoji Hamada

Tags: CUDA, Electrodynamics, Fast multipole method, Laplace and Poisson equation, nVidia, nVidia GeForce GTX 295, Physics

February 11, 2011 by hgpu

Fast computing of scattering maps of nanostructures using graphical processing units

Vincent Favre-Nicolin, Johann Coraux, Marie-Ingrid Richard, Hubert Renevier

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Tags: Condensed matter, CUDA, Materials Science, Mesoscale and Nanoscale Physics, nVidia, nVidia GeForce GTX 295, Package, Physics, Python

February 11, 2011 by hgpu

Accelerating the solution of families of shifted linear systems with CUDA

Richard Galvez, Greg van Anders

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, Package, Physics, Tesla S1070, Tesla T10

February 11, 2011 by hgpu

Scaling LAPACK panel operations using parallel cache assignment

Anthony M. Castaldo, R. Clint Whaley

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Tags: Algorithms, Computer science, Factorization, Linear Algebra, Mathematical Software, Performance

February 10, 2011 by hgpu

3D tumor localization through real-time volumetric x-ray imaging for lung cancer radiotherapy

Ruijiang Li, John H. Lewis, Xun Jia, Xuejun Gu, Michael Folkerts, Chunhua Men, William Y. Song, Steve B. Jiang

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Tags: CUDA, Image reconstruction, Medical Physics, Medicine, nVidia, Physics, Radiotherapy, Tesla C1060

February 9, 2011 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

Programming

Loop Transformation Recipes for Code Generation and Auto-Tuning

Automated Dynamic Analysis of CUDA Programs

Compiling an Array Language to a Graphics Processor

The fast multipole method on parallel clusters, multicore processors, and graphics processing units

Comparing CUDA and OpenGL implementations for a Jacobi iteration

Comparison of several parallel API for cloth modelling on modern GPUs

Energy-efficient algorithms

GPU-accelerated indirect boundary element method for voxel model analyses with fast multipole method

Fast computing of scattering maps of nanostructures using graphical processing units

Accelerating the solution of families of shifted linear systems with CUDA

Scaling LAPACK panel operations using parallel cache assignment

3D tumor localization through real-time volumetric x-ray imaging for lung cancer radiotherapy

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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