Performance Analysis and Acceleration of Explicit Integration for Large Kinetic Networks using Batched GPU Computations Azzam Haidar∗ , Benjamin Brock∗† , Stanimire Tomov∗ , Michael Guidry∗† , Jay Jay Billing

First Page		Document Content
Date: 2016-07-29 14:42:18 Computing Concurrent computing Parallel computing Computer architecture GPGPU Graphics hardware Video cards Digital signal processing Graphics processing unit Algorithm Multi-core processor CUDA		Performance Analysis and Acceleration of Explicit Integration for Large Kinetic Networks using Batched GPU Computations Azzam Haidar∗ , Benjamin Brock∗† , Stanimire Tomov∗ , Michael Guidry∗† , Jay Jay Billing Add to Reading List Source URL: icl.cs.utk.edu Download Document from Source Website File Size: 480,29 KB Share Document on Facebook

	Millisort: An Experiment in Granular Computing Seo Jin Park with Yilong Li, Collin Lee and John Ousterhout Massively Parallel Granular Computing DocID: 1xUyt - View Document
	arXiv:1803.04432v1 [cs.DC] 12 MarMemory Models for C/C++ Programmers Manuel P¨oter Jesper Larsson Tr¨aff Research Group Parallel Computing DocID: 1xTxL - View Document
	FEIIC International Journal of Engineering and Technology, Vol. 13, No.2, 2016, ppSURVEY ANALYSIS ON THE EMBEDDED TCPP CURRICULUM IN PARALLEL AND DISTRIBUTED COMPUTING COURSE DocID: 1vq34 - View Document
	Parallel Computing with IPython: an application to air pollution modeling DocID: 1vlLp - View Document
	Multi-EM Multi-Method Inversion to Determine the Electrical Conductivity Distribution of the Subsurface Using Parallel Computing Architectures Multi-EM DocID: 1uVPD - View Document