Human Philosophy Quotes, Hormel Black Label Microwave Ready Bacon Nutrition Facts, Aanp Log In Exam, Lasko Fan Making Noise, Weather In Cyprus In October, Big Data Capitalism Meaning, Swe Conference 2020 Companies, matei zaharia dblp" />
matei zaharia dblp

Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael J. Franklin, Scott Shenker, and Ion Stoica, University of California, Berkeley     Awarded Best Paper! We use essential cookies to perform essential website functions, e.g. 1, What changes are proposed in this pull request? Proc. Cited by. What is the meaning of the colors in the publication lists? View the profiles of people named Matei Zaharia. Peter Kraft. records. dblp search. To appear at USENIX ATC 2020. Watch Queue Queue DASH: Data-Aware Shell. 4 commit in they're used to gather information about the pages you visit and how many clicks you need to accomplish a task. Find my recent preprints on arXiv. 2020. To appear at SIGIR 2020. 1 of ?? Sort by citations Sort by year Sort by title. Coauthor Index - Ask others: ACM DL/Guide - CiteSeer - CSB - Google - MSN - Yahoo. [1] [2] Zaharia was an undergraduate at the University of Waterloo. A demonstration of willump: a statistically-aware end-to-end optimizer for machine learning inference. View Matei Zaharia’s profile on LinkedIn, the world’s largest professional community. Block user. Matei Zaharia, Mosharaf Chowdhury, Michael J. Franklin, Scott Shenker, Ion Stoica University of California, Berkeley Abstract MapReduce and its variants have been highly successful in implementing large-scale data-intensive applications on commodity clusters. Support USENIX and our commitment to Open Access. You can always update your selection by clicking Cookie Preferences at the bottom of the page. Learn more. repository. CoRR abs/1809.01819 (2018) BibTeX. Beth Plale, Matei Ripeanu, Franck Cappello, Dongyan Xu: The 23rd International Symposium on High-Performance Parallel and Distributed Computing, HPDC'14, Vancouver, BC, Canada - June 23 - 27, 2014. refinements active! 2019 [j7] view. Year; A view of cloud computing. they're used to log you in. IEEE Trans. showing all?? showing all?? Created 1 To achieve fault tolerance efficiently, RDDs provide a restricted form of shared memory, based on coarse-grained transformations rather than fine-grained updates to shared state. records. 6, Scripts used to setup a Spark cluster on EC2, Shell However, neural network inference is computationally expensive at scale: applying a state-of-the-art object detector in real time (i.e., 30+ frames per second) to a single video requires a $4000 GPU. Prevent this user from interacting with your repositories and sending you notifications. Your source for engineering research and ideas How is this patch tested? List of computer science publications by Matei David. 29 ( 4 ) : 899-909 ( 1993 ) We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. export refined list as. 2007 [c1] ... Adrian Iftene, Alexandra Balahur-Dobrescu, Daniel Matei: A Distributed Architecture System for Recognizing Textual Entailment. author = {Matei Zaharia and Mosharaf Chowdhury and Tathagata Das and Ankur Dave and Justin Ma and Murphy McCauly and Michael J. Franklin and Scott Shenker and Ion Stoica}, title = {Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing}, Seeing something unexpected? export refined list as. records. Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads Deepak Narayanan†, Keshav Santhanam†, Fiodar Kazhamiaka†, Amar Phanishayee?, Matei Zaharia† Microsoft Research †Stanford University Abstract Specialized accelerators such as GPUs, TPUs, FPGAs, and Distributed Systems Machine Learning Databases Security. Follow. Watch Queue Queue. This video is unavailable. Verified email at cs.stanford.edu - Homepage. Matei Zaharia is an Assistant Professor of Computer Science at Stanford University and Chief Technologist at Databricks.He started the Apache Spark project during his PhD at UC Berkeley in 2009, and has worked broadly in datacenter systems, co-starting the Apache Mesos project and contributing as a committer on Apache Hadoop. Awarded Community Award Honorable Mention! Matei Zaharia. Stanford DAWN Lab and Databricks. What is the meaning of the colors in the publication lists? Learn more about blocking users. RDDs are motivated by two types of applications that current computing frameworks handle inefficiently: iterative algorithms and interactive data mining tools. 2000 – 2009. see FAQ. Saachi Jain, David Hallac, Rok Sosic, Jure Leskovec: CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data. Just…. He started the Apache Spark project during his PhD at UC Berkeley in 2009, and has worked broadly in datacenter systems, co-starting the Apache Mesos project and contributing as a committer on Apache Hadoop. GitHub profile guide. Prevent this user from interacting with your repositories and sending you notifications. JSONP. D. Raghavan, S. Fouladi, P. Levis and M. Zaharia. Matei A. Zaharia List of publications from the DBLP Bibliography Server - FAQ. Learn more, We use analytics cookies to understand how you use our websites so we can make them better, e.g. JSON. Contact GitHub support about this user’s behavior. Peter Kraft, Daniel Kang, Deepak Narayanan, Shoumik Palkar, Peter Bailis, Matei Zaharia: Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference. Matei Zaharia is this you? mateiz has no activity Block user Report abuse. repository, Opened 1 Take a look at the Matei Zaharia is a Romanian-Canadian computer scientist and the creator of Apache Spark.. Zaharia was an undergraduate at the University of Waterloo. Homepage: https://cs.stanford.edu/~matei/ Sign up for our email. We present Resilient Distributed Datasets (RDDs), a distributed memory abstraction that lets programmers perform in-memory computations on large clusters in a fault-tolerant manner. Daniel Kang, Edward Gan, Peter Bailis, Tatsunori Hashimoto, Matei Zaharia: Approximate Selection with Guarantees using Proxies. However, most of these systems are built around an acyclic data flow model that is not Java USENIX is committed to Open Access to the research presented at our events. 1, Scala Matei Zaharia is a computer scientist and the creator of Apache Spark. Matei Kelemen, Arunabha Bagchi: Modeling and feedback control of a flexible arm of a robot for prescribed frequency-domain tolerances. We have implemented RDDs in a system called Spark, which we evaluate through a variety of user applications and benchmarks. Autom. © USENIX new Date().getFullYear()>document.write(new Date().getFullYear()); Statement on Environmental Responsibility Policy, http://www.facebook.com/events/307418625975555/, Matei Zaharia, University of California, Berkeley, Mosharaf Chowdhury, University of California, Berkeley, Tathagata Das, University of California, Berkeley, Ankur Dave, University of California, Berkeley, Justin Ma, University of California, Berkeley, Murphy McCauly, University of California, Berkeley, Michael J. Franklin, University of California, Berkeley, Scott Shenker, University of California, Berkeley, Ion Stoica, University of California, Berkeley. ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT. 3, Scala 13 (11): 1990-2003 (2020) Approximate Selection with Guarantees using Proxies. Featured Co-authors. Contact GitHub support about this user’s behavior. In both cases, keeping data in memory can improve performance by an order of magnitude. Tianjian Chen, Long Wang, Maximilian Haas-Heger, Matei T. Ciocarlie: Underactuation Design for Tendon-Driven Hands via Optimization of Mechanically Realizable Manifolds in Posture and Torque Spaces. Join Facebook to connect with Matei Zaharia and others you may know. Recent advances in computer vision-in the form of deep neural networks-have made it possible to query increasing volumes of video data with high accuracy. Block or report user Block or report mateiz. 2, Scala In response, we present … Stanford DAWN Project, Daniel Kang XML. view refined list in While at University of California, Berkeley's AMPLab in 2009, he created Apache Spark as a faster alternative to MapReduce. XML. Matei Zaharia works on two areas related to the Platform Lab: granular computing and in-network analytics. However, we show that RDDs are expressive enough to capture a wide class of computations, including recent specialized programming models for iterative jobs, such as Pregel, and new applications that these models do not capture. Wrote 9 papers: SIGMOD-2015-ArmbrustXLHLBMK #relational #sql Spark SQL: Relational Data Processing in Spark (MA, RSX, CL, YH, DL, JKB, XM, TK, MJF, AG, MZ), pp. proposal submission period to July 1 to July 15, 2020, and there will not be another proposal round in November 2020. Matei Zaharia is an Assistant Professor of Computer Science at Stanford University and Chief Technologist at Databricks. For more information, see our Privacy Statement. Sort. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Please consider submitting your proposal for future Dagstuhl Seminars & Workshops.For more information, see our Call for Proposals. 2010 – 2019. see FAQ. In granular computing, Matei’s group is collaborating with other Platform Lab PIs on the gg project — a distributed, massively scalable build system using serverless function. dismiss all constraints. 13 ACM 2014, ISBN 978-1-4503-2749-7 CoRR abs/1906.01974 ( 2019 ) M. Zaharia.Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark, SIGMOD 2018 Industry Track M. Vartak, J. da Trindade, S. Madden and M. Zaharia.MISTIQUE: A … Strata 2014: Matei Zaharia, "How Companies are Using Spark, and Where the Edge in Big Data Will Be" - Duration: 11:22. Cited by. [4] SYNASC 2007: 219-226. He received the 2015 ACM Doctoral Dissertation Award for his PhD research on large-scale computing. O'Reilly 13,223 views dblp search. [3] While at University of California, Berkeley 's AMPLab in 2009, he created Apache Spark as a faster alternative to MapReduce. Matei Zaharia mateiz. 2007; 2: EE: Shimin Guo, Mohammad Hossein Falaki, Earl A. Oliver, S. Ur Rahman, Aaditeshwar Seth, Matei A. Zaharia, Srinivasan Keshav: Very low-cost internet access using KioskNet. 2 2, Forked from databricks/spark-deep-learning, Python VLDB Endow. O. Khattab and M. Zaharia. Learn more about blocking users. yet for this period. Learn more about reporting abuse. Michael I. Jordan 182 publications . Learn more. JSONP. Matei Zaharia’s Publications Preprints. Title. Sign up for your own profile on GitHub, the best place to host code, manage projects, and build software alongside 50 million developers. Matei has 3 jobs listed on their profile. Articles Cited by. pull request in You signed in with another tab or window. We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. Robotics 36 (3): 708-723 (2020) JSON. Ameet Talwalkar, Virginia Smith, Matei Zaharia: Proceedings of Machine Learning and Systems 2019, MLSys 2019, Stanford, CA, USA, March 31 - April 2, 2019. mlsys.org 2019 [contents] [i25] Matei Mancas, Nicolas D'Alessandro, Xavier Siebert, Bernard Gosselin, Carlos Valderrama, Thierry Dutoit: Intelligent Technologies for Interactive Entertainment - 5th International ICST Conference, INTETAIN 2013, Mons, Belgium, July 3-5, 2013, Revised Selected Papers. 1 15 claim profile ∙ 0 followers MIT ∙ Stanford University Chief Technologist at Databricks, Assistant Proffesor at Standford University. zoomed in on ?? 4 other BibTeX. Papers and proceedings are freely available to everyone once the event begins. Made the project description clearer since it shows up on PyPI, etc.

Human Philosophy Quotes, Hormel Black Label Microwave Ready Bacon Nutrition Facts, Aanp Log In Exam, Lasko Fan Making Noise, Weather In Cyprus In October, Big Data Capitalism Meaning, Swe Conference 2020 Companies,

matei zaharia dblp