high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

A Light-weight API for Portable Multicore Programming

Christopher G. Baker, Michael A. Heroux, H. Carter Edwards, Alan B. Williams

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Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, OpenCL, RapidMind

April 3, 2011 by hgpu

Mobile visual computing

K. Pulli

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Tags: Computer science, Image recognition, OpenCL, OpenGL, Video tracking

April 3, 2011 by hgpu

Energy consumption of Graphic Processing Units with respect to automotive use-cases

L. Stolz, H. Endt, M. Vaaraniemi, D. Zehe, W. Stechele

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Tags: Computational Engineering, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9400 GT, nVidia GeForce GT 220, OpenCL

April 3, 2011 by hgpu

Throughput-Effective On-Chip Networks for Manycore Accelerators

Ali Bakhoda, John Kim, Tor M. Aamodt

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance

April 2, 2011 by hgpu

MARC: A Many-Core Approach to Reconfigurable Computing

Ilia Lebedev, Shaoyi Cheng, Austin Doupnik, James Martin, Christopher Fletcher, Daniel Burke, Mingjie Lin, John Wawrzynek

Tags: Compilers, Computer science, FPGA, OpenCL, Performance

April 2, 2011 by hgpu

Real-time particle filtering with heuristics for 3D motion capture by monocular vision

D.A.G. Jauregui, P. Horain, M.K. Rajagopal, S.S.K. Karri

Tags: Computer science, OpenCL, Particle filtering, Video tracking

April 2, 2011 by hgpu

Parallel discrete wavelet transform using the Open Computing Language: a performance and portability study

B. Sharma, N. Vydyanathan

Tags: ATI, Image processing, nVidia, OpenCL, Performance, Wavelet

April 2, 2011 by hgpu

Parallel implementation of the Finite-Difference Time-Domain method in Open Computing Language

T.P. Stefanski, S. Benkler, N. Chavannes, N. Kuster

Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, OpenCL, Performance

April 2, 2011 by hgpu

Speeding-up Pearson Correlation Coefficient calculation on graphical processing units

K.Berker Logoglu, Tugrul K. Ates

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Tags: ATI, ATI Radeon HD 5870, CUDA, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8600 M GT, nVidia GeForce GTX 285, OpenCL, Search, Signal processing

April 2, 2011 by hgpu

GPU-Enabled AI

Mark Ingebretsen

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Tags: Artificial intelligence, Computer science, nVidia, OpenCL, Rendering

April 2, 2011 by hgpu

Uncertainty-Aware Guided Volume Segmentation

Jorg-Stefan Prassni, Timo Ropinski, Klaus Hinrich

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Tags: GLSL, Image processing, nVidia, nVidia GeForce GTX 285, OpenCL, OpenGL, Rendering, Visualization

April 2, 2011 by hgpu

A characterization and analysis of PTX kernels

Andrew Kerr, Gregory Diamos, Sudhakar Yalamanchili

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance, PTX

April 2, 2011 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

A Light-weight API for Portable Multicore Programming

Mobile visual computing

Energy consumption of Graphic Processing Units with respect to automotive use-cases

Throughput-Effective On-Chip Networks for Manycore Accelerators

MARC: A Many-Core Approach to Reconfigurable Computing

Real-time particle filtering with heuristics for 3D motion capture by monocular vision

Parallel discrete wavelet transform using the Open Computing Language: a performance and portability study

Parallel implementation of the Finite-Difference Time-Domain method in Open Computing Language

Speeding-up Pearson Correlation Coefficient calculation on graphical processing units

GPU-Enabled AI

Uncertainty-Aware Guided Volume Segmentation

A characterization and analysis of PTX kernels

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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