high performance computing on graphics processing units: hgpu.org

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An architecture for real time fluid simulation using multiple GPUs

Jose Silva Junior, Mark Joselli, Marcelo Zamith, Eduardo Soluri, Esteban Clua

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Tags: CUDA, Fluid dynamics, Fluid simulation, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 580

November 14, 2012 by hgpu

A GPU-Based Transient Stability Simulation Using Runge-Kutta Integration Algorithm

Zhijun Qin, Yunhe Hou

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Tags: Algorithms, Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 580, Sparse direct solvers

November 7, 2012 by hgpu

Connectivity-Based Segmentation for GPU-Accelerated Mesh Decompression

Jie-Yi Zhao, Min Tang, Ruo-Feng Tong

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Geodesic Distances, nVidia, nVidia GeForce GTX 580

November 7, 2012 by hgpu

Analysis & Design of Efficient Cryptographic Systems

Michael Lehmann

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Package, Security, Stream Ciphers

October 28, 2012 by hgpu

Artifact-Free Decompression and Zooming of JPEG Compressed Images with Total Generalized Variation

Kristian Bredies, Martin Holler

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, nVidia Quadro FX 3700

October 26, 2012 by hgpu

Modular & Scalable Ultrasound Platform with GPU Processing

M. Lewandowski, M. Walczak, B. Witek, P. Kulesza, K. Sielewicz

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Tags: CUDA, FPGA, nVidia, nVidia GeForce GTX 580, Signal processing, Ultrasound

October 25, 2012 by hgpu

A structural analysis of the A5/1 state transition graph

Andreas Beckmann, Jaroslaw Fedorowicz, Jorg Keller, Ulrich Meyer

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 580, Security, Stream Ciphers, Tesla C1060

October 25, 2012 by hgpu

GPU Implementation of the STA Algorithm on I/Q Data

M. Lewandowski, P. Karwat, J. Kudelka, T. Kleczek

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Tags: CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce GTX 580, Ultrasound

October 24, 2012 by hgpu

Large-scale Monte Carlo simulation of two-dimensional classical XY model using multiple GPUs

Yukihiro Komura, Yutaka Okabe

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Tags: Algorithms, Condensed matter, CUDA, GPU cluster, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, Physics, Statistical Mechanics

October 24, 2012 by hgpu

A (ir)regularity-aware task scheduler for heterogeneous platforms

Artur Mariano, Ricardo Alves, Joao Barbosa, Luis Paulo Santos, Alberto Proenca

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Tags: Computer science, CUDA, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, Task scheduling

October 22, 2012 by hgpu

Empirical analysis of a parallel data mining algorithm on a graphic processor

Davide Berdin

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Tags: Computer science, CUDA, Data mining, Data parallelism, nVidia, nVidia GeForce GTX 580, Thesis

October 20, 2012 by hgpu

Particle Filters on Multi-Core Processors

Mehdi Chitchian, Alexander S. van Amesfoort, Andrea Simonetto, Tamas Keviczky, Henk J. Sips

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Tags: ATI, ATI Radeon HD 6970, Bayesian, Computer science, Computer vision, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL, Particle filtering

October 16, 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

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high performance computing on graphics processing units: hgpu.org

An architecture for real time fluid simulation using multiple GPUs

A GPU-Based Transient Stability Simulation Using Runge-Kutta Integration Algorithm

Connectivity-Based Segmentation for GPU-Accelerated Mesh Decompression

Analysis & Design of Efficient Cryptographic Systems

Artifact-Free Decompression and Zooming of JPEG Compressed Images with Total Generalized Variation

Modular & Scalable Ultrasound Platform with GPU Processing

A structural analysis of the A5/1 state transition graph

GPU Implementation of the STA Algorithm on I/Q Data

Large-scale Monte Carlo simulation of two-dimensional classical XY model using multiple GPUs

A (ir)regularity-aware task scheduler for heterogeneous platforms

Empirical analysis of a parallel data mining algorithm on a graphic processor

Particle Filters on Multi-Core Processors

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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