high performance computing on graphics processing units: hgpu.org

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A High-Performance Multi-user Service System for Financial Analytics Based on Web Service and GPU Computation

Gow-Hsing King, Zong-You Cai, Yan-Ying Lu, Jan-Jan Wu, Hung-Pin Shih, Chao-Rui Chang

Tags: Finance, nVidia, nVidia GeForce GTX 275, Tesla C1060

April 16, 2011 by hgpu

A Multi-GPU Spectrometer System for Real-Time Wide Bandwidth Radio Signal Analysis

Hirofumi Kondo, Eric Heien, Masao Okita, Dan Werthimer, Kenichi Hagihara

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Tags: CUDA, FFT, nVidia, Signal processing, Tesla C1060, Tesla S1070

April 13, 2011 by hgpu

CULA: hybrid GPU accelerated linear algebra routines

John R. Humphrey, Daniel K. Price, Kyle E. Spagnoli, Aaron L. Paolini, Eric J. Kelmelis

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Tags: Computer science, CUDA, CULA, Linear Algebra, nVidia, Package, Tesla C1060

April 11, 2011 by hgpu

A Parallel Algorithm for Dot Product over Word-Size Finite Field Using Floating-Point Arithmetic

Jeremy Jean, Stef Graillat

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Tags: Algorithms, Computer science, CUDA, Floating point error, nVidia, Tesla C1060

April 10, 2011 by hgpu

Toward Harnessing DOACROSS Parallelism for Multi-GPGPUs

Peng Di, Qing Wan, Xuemeng Zhang, Hui Wu, Jingling Xue

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Tags: Computer science, nVidia, Optimization, Tesla C1060

April 6, 2011 by hgpu

Poster: GPU-accelerated rigid body fitting of atomic structures into electron density maps

Edward W. Lowe Jr., Nils Woetzel, Jens Meiler

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Tags: ATI, ATI Radeon HD 5970, Biology, Cryo-EM, Molecular modeling, nVidia, nVidia GeForce GTX 470, OpenCL, Package, Poster, Tesla C1060, Tesla C2050

April 1, 2011 by hgpu

Poster: GPU-accelerated artificial neural network for QSAR modeling

Edward W. Lowe Jr., Nils Woetzel, Jens Meiler

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Tags: ATI, ATI Radeon HD 5970, Biology, Neural networks, nVidia, nVidia GeForce GTX 470, OpenCL, Poster, Tesla C1060, Tesla C2050

April 1, 2011 by hgpu

Application of the OpenCL API for Implementation of the NIPALS Algorithm for Principal Component Analysis of Large Data Sets

Joshua C. Bowden

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Tags: BLAS, Computer science, GPU cluster, MPI, nVidia, nVidia Quadro FX 580, OpenCL, Performance, Tesla C1060, Tesla S2050, Tesla T10

March 31, 2011 by hgpu

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

Andreas Klockner, Nicolas Pinto, Yunsup Lee, Bryan Catanzaro, Paul Ivanov, Ahmed Fasih

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Tags: Code generation, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 9400 M, nVidia GeForce GTX 295, nVidia GeForce GTX 480, OpenCL, Package, PyOpenCL, Python, Software Engineering, Tesla C1060

March 30, 2011 by hgpu

A Batched GPU Algorithm for Set Intersection

Di Wu, Fan Zhang, Naiyong Ao, Fang Wang, Xiaoguang Liu, Gang Wang

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, Tesla C1060

March 28, 2011 by hgpu

Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems Using GPU

Jun-ichi Muramatsu, Shao-Liang Zhang, Yusaku Yamamoto

Tags: BLAS, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C1060

March 28, 2011 by hgpu

Modeling GPU-CPU Workloads and Systems

Andrew Kerr, Gregory Diamos, Sudhakar Yalamanchili

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce 8600 GS, nVidia GeForce GTX 280, Performance, Task scheduling, Tesla C1060

March 23, 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 High-Performance Multi-user Service System for Financial Analytics Based on Web Service and GPU Computation

A Multi-GPU Spectrometer System for Real-Time Wide Bandwidth Radio Signal Analysis

CULA: hybrid GPU accelerated linear algebra routines

A Parallel Algorithm for Dot Product over Word-Size Finite Field Using Floating-Point Arithmetic

Toward Harnessing DOACROSS Parallelism for Multi-GPGPUs

Poster: GPU-accelerated rigid body fitting of atomic structures into electron density maps

Poster: GPU-accelerated artificial neural network for QSAR modeling

Application of the OpenCL API for Implementation of the NIPALS Algorithm for Principal Component Analysis of Large Data Sets

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

A Batched GPU Algorithm for Set Intersection

Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems Using GPU

Modeling GPU-CPU Workloads and Systems

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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