high performance computing on graphics processing units: hgpu.org

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Scientific Computing on Hybrid Architectures

Marcus Holm

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Tags: Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 260, Tesla M2050, Thesis

June 7, 2013 by hgpu

Job Parallelism using Graphical Processing Unit individual Multi-Processors and Highly Localised Memory

D. P. Playne, K. A. Hawick

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 580, nVidia GeForce GTX 590, nVidia GeForce GTX 680, Tesla M2075

May 29, 2013 by hgpu

On-Demand Generating and Scheduling Optimised Parallel Applications on Heterogeneous Platforms

K. A. Hawick, D. P. Playne

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 580, nVidia GeForce GTX 680, Software Engineering

May 25, 2013 by hgpu

Parallel implementation of the wideband DOA algorithm on single core, multicore, GPU and IBM cell BE processor

Mohammad Wadood Majid, Todd E. Schmuland, Mohsin M. Jamali

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Tags: Algorithms, Cell processor, CUDA, nVidia, nVidia GeForce GTX 260, Signal processing

May 11, 2013 by hgpu

Construction and Implementation of a Simple Agent-Based System on GPU-Architectures

Gunter Schneckenreither, Stefan Hepp, Daniel Prokesch

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, OpenGL

May 8, 2013 by hgpu

Novel implementations of recursive discrete wavelet transform for real time computation with multicore systems on chip (SOC)

Mohammad Wadood Majid, Golrokh Mirzaei, Mohsin M. Jamali

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Tags: Algorithms, Compression, Computational Complexity, CUDA, Discrete Wavelet Transform, nVidia, nVidia GeForce GTX 260

April 16, 2013 by hgpu

A new CUDA-based GPU implementation of the two-dimensional Athena code

A. Wasiljew, K. Murawski

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Tags: CUDA, Electrodynamics, Magnetohydrodynamics, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 460

April 7, 2013 by hgpu

High Performance Computing using GPGPU’s

Omar Usman Khan

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Tags: Electrodynamics, FFT, nVidia, nVidia GeForce GTX 260, OpenCL, Package, Thesis

March 29, 2013 by hgpu

General Purpose Computation on Graphics Processing Units Using OpenCL

Fiaz Gul Khan

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Tags: Computer science, Electrodynamics, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, nVidia Quadro FX 6000, OpenCL, Sorting, Thesis, Tutorial

March 26, 2013 by hgpu

Time-stepping methods for the simulation of the self-assembly of nano-crystals in Matlab on a GPU

M. D. Korzec, T. Ahnert

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Tags: CUDA, Differential equations, Mathematics, Numerical simulation, nVidia, nVidia GeForce GTX 260, Partial differential equations, PDEs, Spectral methods

March 20, 2013 by hgpu

Parallelization Research of Circle Detection Based on Hough Transform

Suping Wu, Xiangjiao Liu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260

March 12, 2013 by hgpu

A Networked Dataflow Simulation Environment for Signal Processing and Data Mining Applications

Stephen Won

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Tags: Computer vision, CUDA, Data mining, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, SIFT, Signal processing, Thesis

February 12, 2013 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

Scientific Computing on Hybrid Architectures

Job Parallelism using Graphical Processing Unit individual Multi-Processors and Highly Localised Memory

On-Demand Generating and Scheduling Optimised Parallel Applications on Heterogeneous Platforms

Parallel implementation of the wideband DOA algorithm on single core, multicore, GPU and IBM cell BE processor

Construction and Implementation of a Simple Agent-Based System on GPU-Architectures

Novel implementations of recursive discrete wavelet transform for real time computation with multicore systems on chip (SOC)

A new CUDA-based GPU implementation of the two-dimensional Athena code

High Performance Computing using GPGPU’s

General Purpose Computation on Graphics Processing Units Using OpenCL

Time-stepping methods for the simulation of the self-assembly of nano-crystals in Matlab on a GPU

Parallelization Research of Circle Detection Based on Hough Transform

A Networked Dataflow Simulation Environment for Signal Processing and Data Mining Applications

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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