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Accelerating gravitational microlensing simulations using the Xeon Phi coprocessor

Bin Chen, Ronald Kantowski, Xinyu Dai, Eddie Baron, Paul Van der Mark

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Tags: Astrophysics, CUDA, Gravitation, Gravitational lensing, Intel Xeon Phi, nVidia, OpenMP, Tesla M2050

May 2, 2017 by hgpu

Deep Learning in the Automotive Industry: Applications and Tools

Andre Luckow, Matthew Cook, Nathan Ashcraft, Edwin Weill, Emil Djerekarov, Bennie Vorster

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Tags: Cloud, Computer science, Computer vision, CUDA, Deep learning, Machine learning, Neural networks, nVidia, nVidia GeForce GTX Titan X, nVidia GRID K520, Performance

May 2, 2017 by hgpu

Automatic source code adaptation for heterogeneous platforms

Albert Saa-Garriga

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Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, OpenMP, Tesla M2050, Thesis

April 30, 2017 by hgpu

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, Jianping Shi, Jiaya Jia

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX Titan X

April 30, 2017 by hgpu

Low-complexity Distributed Tomographic Backprojection for large datasets

Gilberto Martinez Jr., Janito V. Ferreira Filho, Eduardo X. Miqueles

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 740 M, nVidia GeForce GTX X, nVidia Tegra TX1, Package, Tomography

April 30, 2017 by hgpu

A Training Framework and Architectural Design for Distributed Deep Learning

Wei Wang

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Tags: Computer science, CUDA, Deep learning, nVidia, nVidia GeForce GTX 970, nVidia GeForce GTX Titan X, Package, Python, Thesis

April 26, 2017 by hgpu

Benchmarking OpenCL, OpenACC, OpenMP, and CUDA: programming productivity, performance, and energy consumption

Suejb Memeti, Lu Li, Sabri Pllana, Joanna Kolodziej, Christoph Kessler

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Tags: Benchmarking, Computer science, CUDA, Energy-efficient computing, Heterogeneous systems, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan X, OpenACC, OpenCL, OpenMP, Performance

April 20, 2017 by hgpu

Evaluation of GPU-based track-triggering for the CMS detector at CERN’s HL-LHC

Hannes Mohr

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Tags: Algorithms, ASIC, CUDA, FPGA, HEP, nVidia, Physics, Tesla K40, Tesla K80, Thesis

April 20, 2017 by hgpu

Parallel Multi Channel Convolution using General Matrix Multiplication

Aravind Vasudevan, Andrew Anderson, David Gregg

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Tags: Algorithms, ARM, Computer science, CUDA, Deep learning, Machine learning, Matrix multiplication, Neural networks, nVidia, nVidia Tegra TX1, Performance

April 17, 2017 by hgpu

GPU implementation of the Rosenbluth generation method for static Monte Carlo simulations

Yachong Guo, Vladimir A. Baulin

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Tags: Algorithms, Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 1080, Physics, Tesla K80

April 17, 2017 by hgpu

CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data

Lukas Cavigelli, Philippe Degen, Luca Benini

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Tags: Artificial intelligence, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX Titan X, nVidia Tegra TX1

April 17, 2017 by hgpu

Portable, high-performance containers for HPC

Lucas Benedicic, Felipe A. Cruz, Alberto Madonna, Kean Mariotti

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Tags: Computer science, CUDA, nVidia, nVidia Quadro K 110 M, OpenCL, performance portability, Tesla K40, Tesla K80, Tesla P100, Virtualization

April 15, 2017 by hgpu

Mass_Flow_Estimation: Semi-supervised implementation of a DNN for mass prediction from sparsely labeled images

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth

KNN: k-Nearest Neighbours algorithm

High Performance Computing via High Level Synthesis

SODECL: library of ordinary differential equation (ODE) and stochastic differential equation (SDE) solvers in OpenCL

SODECL: An Open Source Library for Calculating Multiple Orbits of a System of Stochastic Differential Equations in Parallel

sisph: Simple Iterative Incompressible Smoothed Particle Hydrodynamics

Simple Iterative Incompressible Smoothed Particle Hydrodynamics

GraphBLAST: High-Performance Linear Algebra-based Graph Primitives on GPUs

GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU

FAST: Framework for Heterogeneous Medical Image Computing and Visualization

Parallelization of Coherent Point Drift for patient registration

ESBMC-GPU

Incremental Bounded Model Checking of Artificial Neural Networks in CUDA

FBLAS: BLAS implementation for Intel FPGA

FBLAS: Streaming Linear Algebra on FPGA

CuLE: A CUDA port of the Atari Learning Environment (ALE)

GPU-Accelerated Atari Emulation for Reinforcement Learning

MagmaDNN

MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing

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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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