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Performance Analysis for GPU-based Ray-triangle Algorithms

Juan J. Jimenez, Carlos J. Ogayar, Jose M. Noguera, Felix Paulano

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Performance, Raytracing

March 6, 2014 by hgpu

Fast 3D Graphics Rendering Technique with CUDA Parallel Processing

Ji-Hoon Kang, Syung-Og An, Shin-Jin Kang, Seok-Hun Kim, SooKyun Kim

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Tags: 3D Graphics and Realism, Computer science, CUDA, GLSL, nVidia, nVidia GeForce GTX 285, OpenGL, Raytracing, Rendering

February 8, 2014 by hgpu

Efficient Virtual Shadow Maps for Many Lights

Ola Olsson, Erik Sintorn, Viktor Kampe, Markus Billeter, Ulf Assarsson

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan, OpenGL, Raytracing, Real-time graphics

February 2, 2014 by hgpu

Adaptation of an acoustic propagation model to the parallel architecture of a graphics processor

Emanuel Ey

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Tags: Acoustics, Algorithms, Earth and Space Sciences, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Raytracing, Thesis

January 14, 2014 by hgpu

Real-Time Radio Wave Propagation for Mobile Ad-Hoc Network Emulation using GPGPUs

Brian J. Henz, David Richie, Evens Jean, Song Jun Park, James A. Ross, Dale R. Shires

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Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, nVidia, OpenCL, Raytracing, Signal processing, Tesla C2070

January 5, 2014 by hgpu

Parallel Irradiance Caching on the GPU

Nathaniel L. Jones

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Tags: Computer science, CUDA, nVidia, nVidia Quadro K4000, OptiX, Package, Raytracing

January 5, 2014 by hgpu

Interactive Ray-tracing Based on OptiX to Visualize Signed Distance Fields

Taejung Park, Yangmi Lim

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Tags: 3D Graphics and Realism, Computer science, CUDA, KD-tree, nVidia, OpenGL, OptiX, Raytracing, Triangular meshes

January 2, 2014 by hgpu

Ray-Traced Collision Detection: Interpenetration Control and Multi-GPU Performance

Francois Lehericey, Valerie Gouranton, Bruno Arnaldi

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Tags: Algorithms, Collision detection, Computer science, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 660, OpenCL, Raytracing

December 16, 2013 by hgpu

Finding the Force – Consistent Particle Seeding for Satellite Aerodynamics

J. Brent Parham, L. A. Barba

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Tags: Algorithms, Computational Physics, CUDA, nVidia, Physics, Raytracing, Tesla K20

December 16, 2013 by hgpu

Efficient Volume Rendering in CUDA Path Tracer

Hsuan-Yueh Peng, Kristopher Wong, Kaleb Williams

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 770, Raytracing, Rendering

December 9, 2013 by hgpu

Evaluation and Improvement of GPU Ray Tracing with a Thread Migration Technique

Xingxing Zhu, Yangdong Deng

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Rasterization, Raytracing, Rendering

November 26, 2013 by hgpu

Ray-Tracing Based Interactive Camera Simulation

Damon Shing-Min Liu, Che-Wei Hsu

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Tags: Algorithms, Computer science, nVidia, nVidia Quadro 600, OpenGL, Optics, Raytracing, Rendering

November 16, 2013 by hgpu

Hierarchical Product Quantization for Approximate Nearest Neighbors Search

Accelerated Approximate Nearest Neighbors Search Through Hierarchical Product Quantization

hlslib: A collection of extensions for Vivado HLS and Intel FPGA OpenCL to improve developer quality of life

hlslib: Software Engineering for Hardware Design

Taichi: A Language for High-Performance Computation on Spatially Sparse Data Structures

Taichi: A Language for High-Performance Computation on Spatially Sparse Data Structures

MCL kernel verification library

Verification of GPU Program Optimizations in Lean

waLBerla: A block-structured high-performance framework for multiphysics simulations

waLBerla: A block-structured high-performance framework for multiphysics simulations

MIOpen: AMD's Machine Intelligence Library

MIOpen: An Open Source Library For Deep Learning Primitives

horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet

Exascale Deep Learning for Scientific Inverse Problems

Futhark Vulkan Backend

Futhark Vulkan Backend

Megatron-LM: Ongoing research training transformer language models at scale, including: BERT & GPT-2

Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit

Espresso: A Fast End-to-end Neural Speech Recognition Toolkit

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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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