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Testing Tesla architecture for scientific computing: The performance of matrix-vector product

Pawel Maciol, Krzysztof Banas

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce 8800 GTX, Performance, Tesla C870

July 10, 2011 by hgpu

Interactive global illumination in dynamic environments using commodity graphics hardware

M. Nijasure, S. Pattanaik, V. Goel

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Tags: 3D Graphics and Realism, ATI, ATI Radeon 9700, Computer science, OpenGL, Real-time graphics, Visualization

July 10, 2011 by hgpu

Many-core parallel computing – Can compilers and tools do the heavy lifting?

W.-m.W. Hwu

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Tags: Compilers, Computer science, CUDA, Image processing, nVidia, Presentation, Review

July 10, 2011 by hgpu

A Comparison of FPGA and GPU for Real-Time Phase-based Optical Flow, Stereo, and Local Image Features

Karl Pauwels, Matteo Tomasi, Javier Diaz Alonso, Eduardo Ros, Marc M. Van Hulle

Tags: Computer science, Computer vision, FPGA, Optical flow, Performance

July 10, 2011 by hgpu

Synthesis and rendering of bidirectional texture functions on arbitrary surfaces

Xinguo Liu, Yaohua Hu, Jingdan Zhang, Xin Tong, Baining Guo, Heung-Yeung Shum

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Tags: ATI, ATI Radeon 8500, Computer science, OpenGL, Rendering, Visualization

July 10, 2011 by hgpu

Hardware-assisted visibility sorting for unstructured volume rendering

S.P. Callahan, M. Ikits, J.L.D. Comba, C.T. Silva

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Tags: ATI, ATI Radeon 9800, Computer science, OpenGL, Rendering, Sorting, Visualization

July 10, 2011 by hgpu

FPGA and GPU implementation of large scale SpMV

Yi Shan, Tianji Wu, Yu Wang, Bo Wang, Zilong Wang, Ningyi Xu, Huazhong Yang

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Tags: ATI, ATI CAL, ATI IL, ATI Radeon HD 5870, ATI Stream, Computer science, FPGA, Sparse matrix

July 10, 2011 by hgpu

Power and Performance Characterization of Computational Kernels on the GPU

Y. Jiao, H. Lin, P. Balaji, W. Feng

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Tags: Computer science, Energy-efficient computing, FFT, nVidia, nVidia GeForce GTX 280, OpenCL, Performance

July 9, 2011 by hgpu

Accelerating data clustering on GPU-based clusters under shared memory abstraction

K.I. Karantasis, E.D. Polychronopoulos, G.N. Dimitrakopoulos

Tags: Clustering, Computer science, GPU cluster, OpenMP

July 9, 2011 by hgpu

Numerical Parallel Processing Based on GPU with CUDA Architecture

Chengming Zou, Chunfen Xia, Guanghui Zhao

Tags: Algorithms, Computer science, CUDA, Linear Algebra, Matrix inversion, nVidia

July 9, 2011 by hgpu

Binary Mesh Partitioning for Cache-Efficient Visualization

Marc Tchiboukdjian, Vincent Danjean, Bruno Raffin

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Optimization, Visualization

July 8, 2011 by hgpu

Automatic code generation for solvers of cardiac cellular membrane dynamics in GPUs

R.M. Amorim, B.M. Rocha, F.O. Campos, R.W. dos Santos

Tags: Code generation, Computer science, Heart, Medicine, ODEs, Ordinary differential equations

July 8, 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

Testing Tesla architecture for scientific computing: The performance of matrix-vector product

Interactive global illumination in dynamic environments using commodity graphics hardware

Many-core parallel computing – Can compilers and tools do the heavy lifting?

A Comparison of FPGA and GPU for Real-Time Phase-based Optical Flow, Stereo, and Local Image Features

Synthesis and rendering of bidirectional texture functions on arbitrary surfaces

Hardware-assisted visibility sorting for unstructured volume rendering

FPGA and GPU implementation of large scale SpMV

Power and Performance Characterization of Computational Kernels on the GPU

Accelerating data clustering on GPU-based clusters under shared memory abstraction

Numerical Parallel Processing Based on GPU with CUDA Architecture

Binary Mesh Partitioning for Cache-Efficient Visualization

Automatic code generation for solvers of cardiac cellular membrane dynamics in GPUs

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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