high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming » OpenCL

Programmable and Scalable Architecture for Graphics Processing Units

Carlos S. de La Lama, Pekka Jaaskelainen, Jarmo Takala

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Tags: Computer science, GLSL, nVidia, nVidia GeForce 9400 M, OpenCL, OpenGL, Performance, Programming techniques

September 16, 2011 by hgpu

Anomalous behaviour detection using spatiotemporal oriented energies, subset inclusion histogram comparison and event-driven processing

Andrei Zaharescu, Richard Wildes

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce GTX 280, OpenCL

September 14, 2011 by hgpu

A scripting language for Digital Content Creation applications

Mohammed Yousef, Ahmed Hashem, Hassan Saad, Amr Gamal, Osama Galal, Khaled F. Hussain

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Tags: 3D Graphics and Realism, Computer science, GLSL, High-level Languages, nVidia, OpenCL

September 12, 2011 by hgpu

Simulating vehicle kinematics with SimVis3D and Newton

Jens Wettach, Daniel Schmidt, Karsten Berns

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Source codes

Tags: 3D Graphics and Realism, Computer science, OpenCL, Package, Physics-based simulation, Sensing

September 12, 2011 by hgpu

Collision-streams: fast GPU-based collision detection for deformable models

Min Tang, Dinesh Manocha, Jiang Lin, Ruofeng Tong

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL

September 11, 2011 by hgpu

Texture compression of light maps using smooth profile functions

Jim Rasmusson, Jacob Strom, Per Wennersten, Michael Doggett, Tomas Akenine-Moller

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Tags: Algorithms, Compression, Computer science, nVidia, OpenCL, Rendering

September 11, 2011 by hgpu

Lattice-boltzmann water waves

Robert Geist, Christopher Corsi, Jerry Tessendorf, James Westall

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Tags: 3D Graphics and Realism, Computer science, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 480, OpenCL, Rendering

September 11, 2011 by hgpu

Importance-driven compositing window management

Manuela Waldner, Markus Steinberger, Raphael Grasset, Dieter Schmalstieg

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Tags: Computer science, Interface tracking, nVidia, nVidia GeForce GTX 480, OpenCL, OpenGL, Visualization

September 11, 2011 by hgpu

Enabling multiple accelerator acceleration for Java/OpenMP

Ronald Veldema, Thorsten Blass, Michael Philippsen

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Tags: Benchmarking, Computer science, CUDA, Java, nVidia, OpenCL, OpenMP, OpenMPI, Tesla M1060

September 9, 2011 by hgpu

Programming Many-Core Chips

Andras Vajda

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Tags: Book, Cluster computing, Computer science, CUDA, MPI, nVidia, OpenCL, OpenMP, Programming techniques

September 8, 2011 by hgpu

GPU Computation in Bioinspired Algorithms: A Review

M. G. Arenas, A. M. Mora, G. Romero and P. A. Castillo

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Tags: Algorithms, ATI, Bioinformatics, Biology, Computational biology, CUDA, nVidia, OpenCL, Overview, Review

September 8, 2011 by hgpu

Towards GPGPU Assisted Computing in Virtualized Environments

Thilo Schmitt, Alexander Weggerle, Christian Himpel, Peter Schulthess

Tags: ATI, ATI Stream, Computer science, CUDA, nVidia, OpenCL, Review, Virtualization

September 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

Programming

Programmable and Scalable Architecture for Graphics Processing Units

Anomalous behaviour detection using spatiotemporal oriented energies, subset inclusion histogram comparison and event-driven processing

A scripting language for Digital Content Creation applications

Simulating vehicle kinematics with SimVis3D and Newton

Collision-streams: fast GPU-based collision detection for deformable models

Texture compression of light maps using smooth profile functions

Lattice-boltzmann water waves

Importance-driven compositing window management

Enabling multiple accelerator acceleration for Java/OpenMP

Programming Many-Core Chips

GPU Computation in Bioinspired Algorithms: A Review

Towards GPGPU Assisted Computing in Virtualized Environments

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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