Machine learning in python: Main developments and technology trends in data science, machine learning, and artificial intelligence
Smarter applications are making better use of the insights gleaned from data, having an
impact on every industry and research discipline. At the core of this revolution lies the tools …
impact on every industry and research discipline. At the core of this revolution lies the tools …
GPU virtualization and scheduling methods: A comprehensive survey
The integration of graphics processing units (GPUs) on high-end compute nodes has
established a new accelerator-based heterogeneous computing model, which now …
established a new accelerator-based heterogeneous computing model, which now …
Strong scaling of general-purpose molecular dynamics simulations on GPUs
We describe a highly optimized implementation of MPI domain decomposition in a GPU-
enabled, general-purpose molecular dynamics code, HOOMD-blue (Anderson and Glotzer …
enabled, general-purpose molecular dynamics code, HOOMD-blue (Anderson and Glotzer …
A survey on GPU-based implementation of swarm intelligence algorithms
Inspired by the collective behavior of natural swarm, swarm intelligence algorithms (SIAs)
have been developed and widely used for solving optimization problems. When applied to …
have been developed and widely used for solving optimization problems. When applied to …
GPU acceleration of extreme scale pseudo-spectral simulations of turbulence using asynchronism
K Ravikumar, D Appelhans, PK Yeung - Proceedings of the International …, 2019 - dl.acm.org
This paper presents new advances in GPU-driven Fourier pseudo-spectral numerical
algorithms, which allow the simulation of turbulent fluid flow at problem sizes beyond the …
algorithms, which allow the simulation of turbulent fluid flow at problem sizes beyond the …
Scaling up MapReduce-based big data processing on multi-GPU systems
MapReduce is a popular data-parallel processing model encompassed with recent
advances in computing technology and has been widely exploited for large-scale data …
advances in computing technology and has been widely exploited for large-scale data …
[PDF][PDF] Authoring 3D hypermedia for wearable augmented and virtual reality
S Guven, S Feiner - Seventh IEEE International Symposium on Wearable …, 2003 - Citeseer
Most existing authoring systems for wearable augmented and virtual reality experiences
concentrate on creating separate media objects and embedding them within the user's …
concentrate on creating separate media objects and embedding them within the user's …
Efficient mesoscale hydrodynamics: Multiparticle collision dynamics with massively parallel GPU acceleration
MP Howard, AZ Panagiotopoulos… - Computer Physics …, 2018 - Elsevier
We present an efficient open-source implementation of the multiparticle collision dynamics
(MPCD) algorithm that scales to run on hundreds of graphics processing units (GPUs). We …
(MPCD) algorithm that scales to run on hundreds of graphics processing units (GPUs). We …
Smart containers and skeleton programming for GPU-based systems
U Dastgeer, C Kessler - International journal of parallel programming, 2016 - Springer
In this paper, we discuss the role, design and implementation of smart containers in the
SkePU skeleton library for GPU-based systems. These containers provide an interface …
SkePU skeleton library for GPU-based systems. These containers provide an interface …
Gaia scheduler: A kubernetes-based scheduler framework
S Song, L Deng, J Gong, H Luo - … IEEE Intl Conf on Parallel & …, 2018 - ieeexplore.ieee.org
This paper proposed a topology-based GPU scheduling framework. The framework is based
on the traditional kubernetes GPU scheduling algorithm. In existing algorithms, GPU can …
on the traditional kubernetes GPU scheduling algorithm. In existing algorithms, GPU can …