high performance computing on graphics processing units: hgpu.org

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Scientific Computing on Heterogeneous Architectures

A. R. Brodtkorb

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Review, Thesis

January 31, 2011 by hgpu

Program Optimization Strategies for Data-Parallel Many-Core Processors

Shane Ryoo

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Thesis

January 24, 2011 by hgpu

Molecular Dynamics on a Grand Scale

Matthew James Mawson Breeze

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Tags: ATI, ATI Radeon X1600, Chemistry, GLSL, Molecular dynamics, nVidia, nVidia GeForce 6200, nVidia GeForce 8800 GTS, OpenGL, Thesis

December 17, 2010 by hgpu

Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters

Dominik Goddeke

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Tags: CUDA, Finite element method, Fluid dynamics, GPU cluster, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 6800, nVidia GeForce 7600 GT, nVidia GeForce 7900 GT, nVidia GeForce 8600 GT, nVidia GeForce 8800 GTX, nVidia GeForce 9600 GT, nVidia GeForce GTX 280, OpenGL, Review, Thesis

December 16, 2010 by hgpu

The integrated implementation of surgical simulations through modeling by means of imaging, comprehension, visualization, deformation, and collision detection in virtual environments

Sinan Kockara

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Tags: Collision detection, Computer science, Medicine, Surgical simulation, Thesis, Visualization

December 13, 2010 by hgpu

MPI within a GPU

Bobby Dalton Young

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Tags: Computer science, CUDA, Data parallelism, MPI, nVidia, nVidia GeForce 8800 GTS, Thesis, Virtualization

November 5, 2010 by hgpu

Multilevel Multidimensional Scaling on the GPU

Stephen F. Ingram, Stephen

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Tags: Computer science, nVidia, nVidia GeForce 7800 GS, nVidia GeForce 8800 GTX, Thesis, Visualization

November 4, 2010 by hgpu

Optimal loop unrolling for GPGPU programs (thesis)

Giridhar S. Murthy

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, OpenCL, Review, Thesis

November 3, 2010 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

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high performance computing on graphics processing units: hgpu.org

Scientific Computing on Heterogeneous Architectures

Program Optimization Strategies for Data-Parallel Many-Core Processors

Molecular Dynamics on a Grand Scale

Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters

The integrated implementation of surgical simulations through modeling by means of imaging, comprehension, visualization, deformation, and collision detection in virtual environments

MPI within a GPU

Multilevel Multidimensional Scaling on the GPU

Optimal loop unrolling for GPGPU programs (thesis)

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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