high performance computing on graphics processing units: hgpu.org

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High performance histogramming on massively parallel processors

Wen-Mei Hwu

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Tags: Computer science, Computer vision, CUDA, Databases, Machine learning, nVidia, nVidia GeForce GTX 570, nVidia GeForce GTX 780, Thesis

September 20, 2014 by hgpu

Efficient implementation of computationally intensive algorithms on parallel computing platforms

Csaba Nemes

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 570, Tesla K20, Thesis

July 17, 2014 by hgpu

Fast and Efficient Lossless Image Compression Based on CUDA Parallel Wavelet Tree Encoding

Jingqi Ao

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 570, Thesis, Wavelet

July 7, 2014 by hgpu

GPU based FDTD method for investigation on the electromagnetic scattering from 1-D rough soil surface

C.-G. Jia, L.-X. Guo, J. Li

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GTX 570, Physics

June 20, 2014 by hgpu

GPU Implementation of Gaussian Processes

Ying Deng, Edward Khon, Yuanruo Liang, Terence Lim, Jun Wei Ng, Lixiaonan Yin

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 570

June 11, 2014 by hgpu

GPU Ray Tracing with CUDA

Tom A. Pitkin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Raytracing, Rendering, Thesis

May 31, 2014 by hgpu

GPU accelerated toolbox for real-time beam-shaping in multimode fibres

M. Ploschner, B. Straka, K. Dholakia, T. Cizmar

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Source codes

Tags: Computer holography, CUDA, nVidia, nVidia GeForce GTX 570, nVidia GeForce GTX 780, Optics, Package, Physics

May 25, 2014 by hgpu

An Extensible Component-based Approach to Simulation Systems on Heterogeneous Clusters

Roger Viet Hoang

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 570, Performance, Tesla C2050, Thesis, Virtual reality

May 23, 2014 by hgpu

Cellular GPU Models to Euclidean Optimization Problems

Naiyu Zhang

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Tags: Algorithms, Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 570, Optimization, Self-organizing map, Thesis

April 27, 2014 by hgpu

Exploring the power of GPU’s for training Deep Belief Networks

Vivek Kulkarni

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Tags: Computer science, CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 570

April 9, 2014 by hgpu

A New High Performance GPU-based Approach to Prime Numbers Generation

A. Nezarat, M.M. Raja, G. Dastghaybifard

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Tags: Algorithms, CUDA, nVidia, nVidia 9600 GT, nVidia GeForce GTX 570, Security

March 30, 2014 by hgpu

Accelerating GPU Implementation of Contourlet Transform

M. Mohrekesh, S. Azizi, S. Samavi

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 610 M, nVidia GeForce GTX 570

March 26, 2014 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

High performance histogramming on massively parallel processors

Efficient implementation of computationally intensive algorithms on parallel computing platforms

Fast and Efficient Lossless Image Compression Based on CUDA Parallel Wavelet Tree Encoding

GPU based FDTD method for investigation on the electromagnetic scattering from 1-D rough soil surface

GPU Implementation of Gaussian Processes

GPU Ray Tracing with CUDA

GPU accelerated toolbox for real-time beam-shaping in multimode fibres

An Extensible Component-based Approach to Simulation Systems on Heterogeneous Clusters

Cellular GPU Models to Euclidean Optimization Problems

Exploring the power of GPU’s for training Deep Belief Networks

A New High Performance GPU-based Approach to Prime Numbers Generation

Accelerating GPU Implementation of Contourlet Transform

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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