high performance computing on graphics processing units: hgpu.org

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A new adaptive model for real-time fluid simulation with complex boundaries

Jian He, Xi Chen, Zhangye Wang, Ke Yan, Chen Cao, Qunsheng Peng

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Tags: Algorithms, Cg, CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce GTX 280, Voxelization

August 27, 2011 by hgpu

Exploring graphics processing units as parallel coprocessors for online aggregation

Tobias Lauer, Amitava Datta, Zurab Khadikov, Christoffer Anselm

Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Performance

August 26, 2011 by hgpu

Parallel Viewshed Analysis on GPU Using CUDA

Yingjie Xia, Yang Li, Xingmin Shi

Tags: CUDA, Image processing, nVidia

August 26, 2011 by hgpu

Acceleration of an improved Retinex algorithm

Yuan-Kai Wang, Wen-Bin Huang

Tags: Algorithms, Compression, CUDA, Image processing, nVidia

August 26, 2011 by hgpu

Considering GPGPU for HPC Centers: Is It Worth the Effort?

Hans Hacker, Carsten Trinitis, Josef Weidendorfer, Matthias Brehm

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Tags: Computer science, CUDA, nVidia, Performance, Review, Tesla C1060

August 25, 2011 by hgpu

A PC-based fully-programmable medical ultrasound imaging system using a graphics processing unit

Seokhyun Kim, Hak-yeol Sohn, Jin Ho Chang, Tai-kyoung Song, Yangmo Yoo

Tags: Algorithms, CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, Ultrasound

August 25, 2011 by hgpu

Fine-grain Parallelism using Multi-core, Cell/BE, and GPU Systems

Frederico Pratas, Pedro Trancoso, Leonel Sousa, Alexandros Stamatakis, Guochun Shi, Volodymyr Kindratenko

Tags: Bioinformatics, Biology, Cell processor, CUDA, Molecular dynamics, nVidia

August 25, 2011 by hgpu

An efficient GPU-based time domain solver for the acoustic wave equation

Ravish Mehra, Nikunj Raghuvanshi, Lauri Savioja, Ming C. Lin, Dinesh Manocha

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Tags: Acoustics, Algorithms, CUDA, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9600 M GT, nVidia GeForce GTX 480, nVidia Quadro FX 5800, Physics, Visualization, Wave equation

August 25, 2011 by hgpu

GPU-acceleration for Moving Particle Semi-implicit Method

Chiemi Hori, Hitoshi Gotoh, Hiroyuki Ikari, Abbas Khayyer

Tags: CUDA, Fluid dynamics, nVidia, Poisson equation

August 25, 2011 by hgpu

A mapping path for multi-GPGPU accelerated computers from a portable high level programming abstraction

Allen Leung, Nicolas Vasilache, Benoit Meister, Muthu Baskaran, David Wohlford, Cedric Bastoul, Richard Lethin

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Tags: Algorithms, Code generation, Compilers, Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 285, Programming Languages

August 24, 2011 by hgpu

CnC-CUDA: declarative programming for GPUs

Max Grossman, Alina Simion Sbirlea, Zoran Budimlic, Vivek Sarkar

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 480, Performance

August 24, 2011 by hgpu

Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system

Linchuan Li, Xingjian Li, Guangming Tan, Mingyu Chen, Peiheng Zhang

Tags: Algorithms, Computer science, Cryo-EM, CUDA, Data parallelism, GPU cluster, Heterogeneous systems, MPI, nVidia, Performance, Tesla C2050

August 24, 2011 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

A new adaptive model for real-time fluid simulation with complex boundaries

Exploring graphics processing units as parallel coprocessors for online aggregation

Parallel Viewshed Analysis on GPU Using CUDA

Acceleration of an improved Retinex algorithm

Considering GPGPU for HPC Centers: Is It Worth the Effort?

A PC-based fully-programmable medical ultrasound imaging system using a graphics processing unit

Fine-grain Parallelism using Multi-core, Cell/BE, and GPU Systems

An efficient GPU-based time domain solver for the acoustic wave equation

GPU-acceleration for Moving Particle Semi-implicit Method

A mapping path for multi-GPGPU accelerated computers from a portable high level programming abstraction

CnC-CUDA: declarative programming for GPUs

Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system

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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