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Parallel H-Tree Based Data Cubing on Graphics Processors

Baoyuan Wang, Yizhou Yu

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce 8800 GTX

October 13, 2012 by hgpu

Parallelization of Hierarchical Text Clustering on Multi-core CUDA Architecture

Atul Bagga, Durga Toshniwal

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Tags: Clustering, Computer science, CUDA, Databases, Hierarchical clustering, nVidia, nVidia GeForce 8800 GTX

September 21, 2012 by hgpu

High Performance Computing on Astrophysics with Artificial Intelligence Algorithms

Juan C. Cuevas-Tello

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Tags: Algorithms, Artificial intelligence, Astrophysics, CUDA, MPI, Neural networks, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, Physics

September 16, 2012 by hgpu

Clustering Based Search Algorithm For Motion Estimation

Ke Chen, Zhong Zhou, Wei Wu

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Search

August 5, 2012 by hgpu

Power Management for GPU-CPU Heterogeneous Systems

Xue Li

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, Thesis

August 3, 2012 by hgpu

Performance Analysis of GPU Accelerators with Realizable Utilization of Computational Density

Justin Richardson, Alan D. George, Herman Lam

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Tags: Computer science, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GT 240, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance, Tesla C1060, Tesla C870

August 3, 2012 by hgpu

High Performance System in GPU and CUDA Media Processing System

M.Chithik Raja

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Tags: Computer science, CUDA, Heterogeneous systems, HLSL, nVidia, nVidia GeForce 6600 GT, nVidia GeForce 8800 GTX, nVidia GeForce 8800 Ultra

July 6, 2012 by hgpu

GreenGPU: A Holistic Approach to Energy Efficiency in GPU-CPU Heterogeneous Architectures

Kai Ma, Xue Li, Wei Chen, Chi Zhang, Xiaorui Wang

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Tags: Computer science, CUDA, Energy-efficient computing, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX

June 26, 2012 by hgpu

Compiling a high-level language for GPUs: (via language support for architectures and compilers)

Christophe Dubach, Perry Cheng, Rodric Rabbah, David F. Bacon, Stephen J. Fink

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Tags: ATI, ATI Radeon HD 5970, Compilers, Computer science, CUDA, Heterogeneous systems, Java, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 580, OpenCL, Programming Languages

June 26, 2012 by hgpu

Parallel Approach for Time Series Analysis with General Regression Neural Networks

J.C. Cuevas-Tello, R.A. Gonzalez-Grimaldo, O. Rodriguez-Gonzalez, H.G. Perez-Gonzalez, O. Vital-Ochoa

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Tags: Algorithms, Astrophysics, CUDA, MPI, Neural networks, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, Physics

May 14, 2012 by hgpu

Multicore Processing for Classification and Clustering Algorithms

V. Vaitheeshwaran, Kapil Kumar Nagwanshi, T. V. Rao

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Clustering, Computer science, CUDA, Data mining, nVidia, nVidia GeForce 8800 GTX, OpenCL

April 21, 2012 by hgpu

Auto-tuning interactive ray tracing using an analytical GPU architecture model

Per Ganestam, Michael Doggett

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Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 5870, Computer science, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 580, OpenCL, Raytracing, Rendering

April 17, 2012 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

* * *

high performance computing on graphics processing units: hgpu.org

Parallel H-Tree Based Data Cubing on Graphics Processors

Parallelization of Hierarchical Text Clustering on Multi-core CUDA Architecture

High Performance Computing on Astrophysics with Artificial Intelligence Algorithms

Clustering Based Search Algorithm For Motion Estimation

Power Management for GPU-CPU Heterogeneous Systems

Performance Analysis of GPU Accelerators with Realizable Utilization of Computational Density

High Performance System in GPU and CUDA Media Processing System

GreenGPU: A Holistic Approach to Energy Efficiency in GPU-CPU Heterogeneous Architectures

Compiling a high-level language for GPUs: (via language support for architectures and compilers)

Parallel Approach for Time Series Analysis with General Regression Neural Networks

Multicore Processing for Classification and Clustering Algorithms

Auto-tuning interactive ray tracing using an analytical GPU architecture model

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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