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hgpu.org » Applications » Computer science

Evaluation Framework for GPU Performance Based on OpenCL Standard

M. Jurecko, J. Kocisova, J. Busa, T. Kasanicky, M. Domiter, M. Zvada

Tags: ATI, Computer science, GPU cluster, nVidia, OpenCL, Performance

March 31, 2011 by hgpu

CUDACL: A tool for CUDA and OpenCL programmers

Ferosh Jacob, David Whittaker, Sagar Thapaliya, Purushotham Bangalore, Marjan Mernik, Jeff Gray

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Tags: Computer science, CUDA, High-level Languages, Java, nVidia, nVidia GeForce GTX 260, OpenCL

March 31, 2011 by hgpu

OpenCL – An effective programming model for data parallel computations at the Cell Broadband Engine

J. Breitbart, C. Fohry

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Tags: Cell processor, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280, OpenCL

March 31, 2011 by hgpu

OpenCL and parallel primitives for digital TV applications

S. M. Cho, D. W. Im, O. Y. Jang, H. J. Song, B. D. Paulovicks, V. Sheinin, H. Yeo

Tags: Cell processor, Computer science, OpenCL

March 30, 2011 by hgpu

OpenCL: Make Ubiquitous Supercomputing Possible

Slo-Li Chu, Chih-Chieh Hsiao

Tags: Computer science, OpenCL, OpenMP

March 30, 2011 by hgpu

OpenCL-based design methodology for application-specific processors

Pekka O. Jaaskelainen, Carlos S. de La Lama, Pablo Huerta, Jarmo H. Takala

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Tags: AES, Computer science, FPGA, MPI, OpenCL, Security

March 30, 2011 by hgpu

Hybrid OpenCL over high speed networks

Ryo Aoki, Shuichi Oikawa, Ryoji Tsuchiyama, Takashi Nakamura

Tags: Computer science, Heterogeneous systems, OpenCL

March 30, 2011 by hgpu

Improving Hybrid OpenCL Performance by High Speed Networks

Ryo Aoki, Shuichi Oikawa, Ryoji Tsuchiyama, Takashi Nakamura

Tags: Computer science, Heterogeneous systems, OpenCL

March 30, 2011 by hgpu

Hybrid OpenCL: Connecting Different OpenCL Implementations over Network

Ryo Aoki, Shuichi Oikawa, Ryoji Tsuchiyama, Takashi Nakamura

Tags: Computer science, Heterogeneous systems, OpenCL

March 30, 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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Source codes

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 Very Simple Approach for 3-D to 2-D Mapping

Sandipan Dey, Ajith Abraham, Sugata Sanyal

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Tags: Algorithms, Computer science, Graphics, OpenGL, Rendering

March 30, 2011 by hgpu

Augmented reality usage for prototyping speed up

Jiri Stastny, David Prochazka, Tomas Koubek, Jaromir Landa

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Tags: Algorithms, Computer science, Graphics, Image generation, Image processing, OpenGL

March 30, 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

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high performance computing on graphics processing units: hgpu.org

Applications

Evaluation Framework for GPU Performance Based on OpenCL Standard

CUDACL: A tool for CUDA and OpenCL programmers

OpenCL – An effective programming model for data parallel computations at the Cell Broadband Engine

OpenCL and parallel primitives for digital TV applications

OpenCL: Make Ubiquitous Supercomputing Possible

OpenCL-based design methodology for application-specific processors

Hybrid OpenCL over high speed networks

Improving Hybrid OpenCL Performance by High Speed Networks

Hybrid OpenCL: Connecting Different OpenCL Implementations over Network

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

A Very Simple Approach for 3-D to 2-D Mapping

Augmented reality usage for prototyping speed up

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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