high performance computing on graphics processing units: hgpu.org

hgpu.org » Thesis

GPU-Acceleration of Linear Algebra using OpenCL

Andreas Falkenstrom Mieritz

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Tags: ATI, ATI Radeon HD 6990, Computer science, Linear Algebra, nVidia, nVidia GeForce GTX 590, OpenCL, Thesis, Wave equation

September 20, 2012 by hgpu

Implementation of QR Updating Algorithms on the GPU

Robert Andrew

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Tags: Algorithms, Computer science, CUDA, Numerical Analysis, nVidia, Tesla M2050, Thesis

September 18, 2012 by hgpu

A GPU operations framework for WattDB

Vitor Uwe Reus

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GT 430, Thesis

September 17, 2012 by hgpu

Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)

Tony Kam-Thong

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Tags: Biology, CUDA, Genetics, Machine learning, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 580, Package, Thesis

September 16, 2012 by hgpu

On the Validation and Applications of a Parallel Flexible Multi-Body Dynamics Implementation

Daniel J. Melanz

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Tesla C2070, Thesis

September 14, 2012 by hgpu

Accelerating Sparse Matrix Kernels on Graphics Processing Units

Kiran Kumar Matam

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, Sparse matrix, Tesla C1060, Tesla C2050, Thesis

September 14, 2012 by hgpu

Mapping a Dataflow Programming Model onto Heterogeneous Architectures

Alina Sbirlea

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 580, Tesla C1060, Thesis

September 12, 2012 by hgpu

Multi-Moment Methods for PDEs and GPUs for Large-Scale Scientific Computations

Sarah Amalie King

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Tags: Algorithms, CUDA, Differential equations, Mathematics, nVidia, nVidia GeForce GT 640 M, Optimization, Partial differential equations, PDEs, Tesla C2050, Thesis

September 7, 2012 by hgpu

Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

Saktheesh Subramoniapillai Ajeetha

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, Performance, Tesla C2050, Thesis

September 6, 2012 by hgpu

GPU-accelerated Fourier-continuation solvers and physically exact computational boundary conditions for wave scattering problems

Timothy James Elling

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Tags: Algorithms, CUDA, Finite difference, Integral equations, nVidia, Physics, Tesla C1060, Thesis

September 5, 2012 by hgpu

Computational Modelling of Galaxy Formation using FLAME GPU

Laurence William James

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Tags: Astrophysics, Computational modelling, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 285, Package, Physics, Python, Thesis

September 4, 2012 by hgpu

Towards large-scale network analytics

Xintian Yang

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Tags: Algorithms, Compression, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C1060, Thesis, Visualization

September 1, 2012 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

GPU-Acceleration of Linear Algebra using OpenCL

Implementation of QR Updating Algorithms on the GPU

A GPU operations framework for WattDB

Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)

On the Validation and Applications of a Parallel Flexible Multi-Body Dynamics Implementation

Accelerating Sparse Matrix Kernels on Graphics Processing Units

Mapping a Dataflow Programming Model onto Heterogeneous Architectures

Multi-Moment Methods for PDEs and GPUs for Large-Scale Scientific Computations

Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

GPU-accelerated Fourier-continuation solvers and physically exact computational boundary conditions for wave scattering problems

Computational Modelling of Galaxy Formation using FLAME GPU

Towards large-scale network analytics

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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