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Acceleration of Radiance for Lighting Simulation by Using Parallel Computing with OpenCL

W. Zuo, A. McNeil, M. Wetter, E.S. Lee

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Tags: Algorithms, Computer science, Matrix multiplication, nVidia, nVidia GeForce GTX 460, OpenCL, Raytracing

October 4, 2011 by hgpu

Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA

Fawnizu Azmadi Hussin, Anas Mohd Nazlee, Noohul Basheer Zain Ali

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Tags: Algorithms, Computer science, CUDA, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 260, Performance, Programming techniques, Security

October 3, 2011 by hgpu

Parallel Game Tree Search Using GPU

L'ubomir Lackovic

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, Games, Graph theory, nVidia, nVidia GeForce GTX 460

October 3, 2011 by hgpu

Implementation of the optimization algorithms on GPGPU architecture and multi-cores

Li Liang

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Tags: Algorithms, Computer science, CUDA, Neural networks, nVidia, OpenCL, Optimization

October 3, 2011 by hgpu

Parallel SAT-Solving with OpenCL

Sander Beckers, Gorik De Samblanx, Floris De Smedt, Toon Goedeme, Lars Struyf, Joost Vennekens

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Tags: Algorithms, Computer science, nVidia, OpenCL, SAT

October 3, 2011 by hgpu

Heterogeneous Computing with OpenCL

Benedict Gaster, David R. Kaeli, Lee Howes, Perhaad Mistry, Dana Schaa

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Tags: Algorithms, Book, Computer science, Heterogeneous systems, OpenCL, Optimization, Tutorial

October 3, 2011 by hgpu

An OpenCL Fast Fourier Transformation

Sven De Smet

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Tags: Computer science, Data Structures and Algorithms, FFT, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9400 M, nVidia GeForce GTX 220, nVidia GeForce GTX 280, OpenCL

October 3, 2011 by hgpu

Towards robust automatic detection of vulnerable road users: monocular pedestrian tracking from a moving vehicle

Kristof Van Beeck, Floris De Smedt, Sander Beckers, Lars Struyf, Joost Vennekens, Gorik De Samblanx, Toon Goedeme, Tinne Tuytelaars

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 295, OpenCL

October 3, 2011 by hgpu

An Auto-tuning Solution to Data Streams Clustering in OpenCL

Jianbin Fang, Ana Lucia Varbanescu, Henk Sips

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Tags: ATI, ATI Radeon HD 5870, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL, Optimization, Performance

October 3, 2011 by hgpu

A New Class of Parallel Scheduling Algorithms

Wojciech Bozejko

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Tags: Algorithms, Book, Computer science, CUDA, Metaheuristics, nVidia, Optimization, Programming techniques, Task scheduling, Tesla C1060, Tesla C2050

October 2, 2011 by hgpu

Power Management and Optimization

Hari Sundararajan

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Tags: Computer science, CUDA, Energy-efficient computing, Green, nVidia, nVidia GeForce GTX 260, Performance, Thesis

October 2, 2011 by hgpu

An Execution Model and Runtime For Heterogeneous Many-Core Systems

Gregory Diamos

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Source codes

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, Optimization, Package, PTX, Tesla C1060, Tesla S870, Thesis

October 2, 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

Acceleration of Radiance for Lighting Simulation by Using Parallel Computing with OpenCL

Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA

Parallel Game Tree Search Using GPU

Implementation of the optimization algorithms on GPGPU architecture and multi-cores

Parallel SAT-Solving with OpenCL

Heterogeneous Computing with OpenCL

An OpenCL Fast Fourier Transformation

Towards robust automatic detection of vulnerable road users: monocular pedestrian tracking from a moving vehicle

An Auto-tuning Solution to Data Streams Clustering in OpenCL

A New Class of Parallel Scheduling Algorithms

Power Management and Optimization

An Execution Model and Runtime For Heterogeneous Many-Core 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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