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Massively parallel
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#	Item
31	o p Massively Parallel Data Analysis with PACTs on Nephele Overview & Context Add to Reading List Source URL: stratosphere.eu - Date: 2016-05-27 12:05:58
32	Massively-Parallel Stream Processing under QoS Constraints with Nephele Björn Lohrmann Daniel Warneke Add to Reading List Source URL: stratosphere.eu Language: English - Date: 2016-05-27 12:05:58 Computing Concurrent computing Network performance Parallel computing Programming paradigms Computer architecture Latency Throughput Data-intensive computing Low latency Pipeline Real-time computing
33	Microsoft PowerPoint - cs677s15_1.pptx Add to Reading List Source URL: www.cs.stevens.edu Language: English - Date: 2015-01-20 20:28:51 Parallel computing Manycore processor Massively parallel
34	Massively Parallel Methods for Deep Reinforcement Learning arXiv:1507.04296v2 [cs.LG] 16 Jul 2015 Arun Nair, Praveen Srinivasan, Sam Blackwell, Cagdas Alcicek, Rory Fearon, Alessandro De Maria, Vedavyas Panneershelvam, Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-07-16 20:07:04
35	Institut für Technische Informatik und Kommunikationsnetze Computer Engineering and Networks Laboratory Prof. L. Thiele Add to Reading List Source URL: www.tik.ee.ethz.ch Language: English - Date: 2015-11-10 10:25:22 Computing Parallel computing Manycore processors Computer hardware Reconfigurable computing Computer architecture Microprocessors Multi-core processor Massively parallel processor array Adapteva TILE64 Tilera
36	Exponential Stochastic Cellular Automata for Massively Parallel Inference Michael Wick Oracle Labs, Add to Reading List Source URL: www.manzil.ml Language: English - Date: 2016-01-03 02:26:50
37	Exponential Stochastic Cellular Automata for Massively Parallel Inference Michael Wick Oracle Labs, Add to Reading List Source URL: manzil.ml Language: English - Date: 2016-01-03 02:26:50 Estimation theory Expectationmaximization algorithm Missing data Exponential family Latent Dirichlet allocation Symbol Variational Bayesian methods
38	Resistive Associative Processor L. Yavits, S. Kvatinsky, A. Morad, and R. Ginosar Abstract— Associative Processor (AP) combines data storage and data processing, and functions simultaneously as a massively parallel arr Add to Reading List Source URL: webee.technion.ac.il Language: English - Date: 2014-11-26 15:23:04
39	How to program a GPU? Important features from a software point of view GPU Programming Paradigms • Massively parallel Add to Reading List Source URL: parse.ele.tue.nl Language: English - Date: 2011-03-31 06:00:00
40	Robust Data Transformations Alekh Jindal, CSAIL MIT ABSTRACT Background. Massively parallel data processing systems are ubiquitous in today’s big data era. Examples include Hadoop, Spark, Stratosphere, and a number of Add to Reading List Source URL: jindal-web.appspot.com Language: English

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