high performance computing on graphics processing units: hgpu.org

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Exploring the use of glossy light volumes for interactive global illumination

Bernardt Duvenhage, Kadi Bouatouch, Derrick Kourie

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Tags: 3D Graphics and Realism, Algorithms, Computer science, GLSL, Image generation, nVidia, nVidia GeForce 9400 M, OpenGL

September 13, 2011 by hgpu

Parallel volume rendering implementation on graphics cards using CUDA

Jens Fangerau, Susanne Kromker

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 280, OpenGL, Rendering, Visualization

September 13, 2011 by hgpu

Translation-invariant two-dimensional discrete wavelet transform on graphics processing units

Dietmar Wippig, Bernd Klauer

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Tags: Algorithms, ATI, ATI Radeon HD 4870, Discrete Wavelet Transform, GLSL, Image processing, nVidia, nVidia GeForce GTX 280, OpenGL, Shaders

September 11, 2011 by hgpu

SSLPV: subsurface light propagation volumes

Jesper Borlum, Brian Bunch Christensen, Thomas Kim Kjeldsen, Peter Trier Mikkelsen, Karsten Ostergaard Noe, Jens Rimestad, Jesper Mosegaard

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Tags: 3D Graphics and Realism, Algorithms, Computer science, GLSL, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, OpenGL, Package, 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

TimeGraph: GPU scheduling for real-time multi-tasking environments

Shinpei Kato, Karthik Lakshmanan, Ragunathan Rajkumar, Yutaka Ishikawa

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Tags: Benchmarking, Computer science, nVidia, nVidia GeForce 9800 GT, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenGL, Operating systems, Package, Real-time graphics, Task scheduling

September 11, 2011 by hgpu

Solving diffractive optics problems using graphics processing units

D. L. Golovashkin, N. L. Kasanskiy

Tags: Algorithms, ATI, ATI FireStream, Brook, Cg, CUDA, FDTD, Finite-difference time-domain, nVidia, OpenGL, Optics, Overview, Physics, Raytracing, Review

September 11, 2011 by hgpu

Beyond programmable shading (parts I and II)

Aaron Lefohn, Mike Houston, Johan Andersson, Ulf Assarsson, Cass Everitt, Kayvon Fatahalian, Tim Foley, Justin Hensley, Paul Lalonde, David Luebke

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Tags: 3D Graphics and Realism, Algorithms, Computer science, DirectX, Image processing, OpenGL, Presentation, Programming techniques, Rasterization, Raytracing, Rendering

September 9, 2011 by hgpu

Fast Ultrasound Image Simulation Using the Westervelt Equation

Athanasios Karamalis, Wolfgang Wein, Nassir Navab

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Tags: Finite difference, GLSL, Medicine, nVidia, nVidia GeForce GTX 280, OpenGL, Ultrasound

September 8, 2011 by hgpu

Real-Time Tone Mapping for High-Resolution HDR Images

Hanli Zhao, Xiaogang Jin, Jianbing Shen

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 8800 GTS, OpenGL, Rendering

September 5, 2011 by hgpu

DUODECIM – a structure for point scan compression and rendering

Jens Kruger, Jens Schneider, Rudiger Westermann

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Tags: ATI, ATI Radeon X800, Compression, Computer science, OpenGL, Rendering

September 5, 2011 by hgpu

Isocube: Exploiting the Cubemap Hardware

Liang Wan, Tien-Tsin Wong, Chi-Sing Leung

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Tags: 3D Graphics and Realism, Cg, Computer science, Filtering, nVidia, nVidia GeForce FX 6800 Ultra, OpenGL

September 5, 2011 by hgpu

Data-Parallel Flattening by Expansion

Data-Parallel Flattening by Expansion

IA-SpGEMM: An Input-aware Auto-tuning Framework for Parallel Sparse Matrix-Matrix Multiplication

IA-SpGEMM: An Input-aware Auto-tuning Framework for Parallel Sparse Matrix-Matrix Multiplication

MGPUSim: Enabling Multi-GPU Performance Modeling and Optimization

MGPUSim: Enabling Multi-GPU Performance Modeling and Optimization

TensorNetwork: A library for easy and efficient manipulation of tensor networks

TensorNetwork for Machine Learning

triSYCL: Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group

SYCL Code Generation for Multigrid Methods

PSST: A Tutorial for Parallelised Scalable Simulations in TensorFlow

Parallel scalable simulations of biological neural networks using TensorFlow: A beginner’s guide

MUSE: Miami University Simulation Environment

Temporospatial Epidemic Simulations Using Heterogeneous Computing

Pressure Point Analysis framework

Diagnosing Performance Bottlenecks in HPC Applications

Dynamic Distribution Pruning for Efficient Network Architecture Search

Dynamic Distribution Pruning for Efficient Network Architecture Search

Tinker-HP: High Performance Massively Parallel Evolution of Tinker

Raising the Performance of the Tinker-HP Molecular Modeling Package on Intel’s HPC Architectures: a Living Review [Article v1.0]

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2019

May

13-15

Boston, USA

7th International Workshop on OpenCL, 2019

2019

May

13

Boston, MA, USA

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

2019

May

14

Larnaca, Cyprus

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

2019

July

26-28

Rome, Italy

International Conference on Frontiers of Neural Networks (ICFNN), 2019

2019

July

26-28

Rome, Italy

International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML), 2019

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