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 user. 2019 [j7] view. Watch Queue Queue Stanford DAWN Lab and Databricks. A demonstration of willump: a statistically-aware end-to-end optimizer for machine learning inference. Title. Peter Kraft. they're used to log you in. You signed in with another tab or window. This video is unavailable. Learn more. proposal submission period to July 1 to July 15, 2020, and there will not be another proposal round in November 2020. Contact GitHub support about this user’s behavior. View the profiles of people named Matei Zaharia. export refined list as. Learn more about blocking users. For more information, see our Privacy Statement. Follow. other commit in CoRR abs/1906.01974 ( 2019 ) Matei Kelemen, Arunabha Bagchi: Modeling and feedback control of a flexible arm of a robot for prescribed frequency-domain tolerances. He received the 2015 ACM Doctoral Dissertation Award for his PhD research on large-scale computing. To appear at SIGIR 2020. 1 [4] showing all?? 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. 1, What changes are proposed in this pull request? 2020. RDDs are motivated by two types of applications that current computing frameworks handle inefficiently: iterative algorithms and interactive data mining tools. VLDB Endow. 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. Featured Co-authors. showing all?? 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. refinements active! 2 Homepage: https://cs.stanford.edu/~matei/ Sign up for our email. Saachi Jain, David Hallac, Rok Sosic, Jure Leskovec: CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data. Made the project description clearer since it shows up on PyPI, etc. repository, Opened 1 Matei Zaharia is a computer scientist and the creator of Apache Spark. Created 1 pull request in 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. © 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. yet for this period. 13 What is the meaning of the colors in the publication lists? Block or report user Block or report mateiz. Prevent this user from interacting with your repositories and sending you notifications. Daniel Kang, Edward Gan, Peter Bailis, Tatsunori Hashimoto, Matei Zaharia: Approximate Selection with Guarantees using Proxies. Matei has 3 jobs listed on their profile. view refined list in 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. of ?? Cited by. Strata 2014: Matei Zaharia, "How Companies are Using Spark, and Where the Edge in Big Data Will Be" - Duration: 11:22. 1 O'Reilly 13,223 views XML. Cited by. Matei Zaharia’s Publications Preprints. ACM 2014, ISBN 978-1-4503-2749-7 records. 3, Scala 4 Articles Cited by. Matei Zaharia is this you? zoomed in on ?? In response, we present … Watch Queue Queue. 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 … 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}, Sort. Proc. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Matei Zaharia is an Assistant Professor of Computer Science at Stanford University and Chief Technologist at Databricks. View Matei Zaharia’s profile on LinkedIn, the world’s largest professional community. GitHub profile guide. 4 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. Sort by citations Sort by year Sort by title. 2007 [c1] ... Adrian Iftene, Alexandra Balahur-Dobrescu, Daniel Matei: A Distributed Architecture System for Recognizing Textual Entailment. 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. 2000 – 2009. see FAQ. What is the meaning of the colors in the publication lists? Distributed Systems Machine Learning Databases Security. Your source for engineering research and ideas Sign up for your own profile on GitHub, the best place to host code, manage projects, and build software alongside 50 million developers. Learn more about reporting abuse. While at University of California, Berkeley's AMPLab in 2009, he created Apache Spark as a faster alternative to MapReduce. O. Khattab and M. Zaharia. dismiss all constraints. To appear at USENIX ATC 2020. 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. Join Facebook to connect with Matei Zaharia and others you may know. 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. records. 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. 2, Scala 15 Autom. Awarded Community Award Honorable Mention! they're used to gather information about the pages you visit and how many clicks you need to accomplish a task. records. Please consider submitting your proposal for future Dagstuhl Seminars & Workshops.For more information, see our Call for Proposals. CoRR abs/1809.01819 (2018) 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. Year; A view of cloud computing. 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! Matei Zaharia is a Romanian-Canadian computer scientist and the creator of Apache Spark.. Zaharia was an undergraduate at the University of Waterloo. Java How is this patch tested? We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. Learn more. Matei Zaharia. SYNASC 2007: 219-226. 13 (11): 1990-2003 (2020) Approximate Selection with Guarantees using Proxies. 2010 – 2019. see FAQ. You can always update your selection by clicking Cookie Preferences at the bottom of the page. [1] [2] Zaharia was an undergraduate at the University of Waterloo. Prevent this user from interacting with your repositories and sending you notifications. USENIX is committed to Open Access to the research presented at our events. ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT. Take a look at the Michael I. Jordan 182 publications . DASH: Data-Aware Shell. JSONP. We use essential cookies to perform essential website functions, e.g. 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] Papers and proceedings are freely available to everyone once the event begins. In both cases, keeping data in memory can improve performance by an order of magnitude. 1, Scala 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. List of computer science publications by Matei David. Support USENIX and our commitment to Open Access. Stanford DAWN Project, Daniel Kang mateiz has no activity We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. [3] While at University of California, Berkeley 's AMPLab in 2009, he created Apache Spark as a faster alternative to MapReduce. export refined list as. XML. JSON. However, most of these systems are built around an acyclic data flow model that is not Coauthor Index - Ask others: ACM DL/Guide - CiteSeer - CSB - Google - MSN - Yahoo. We have implemented RDDs in a system called Spark, which we evaluate through a variety of user applications and benchmarks. D. Raghavan, S. Fouladi, P. Levis and M. Zaharia. BibTeX. 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 repository. JSONP. 6, Scripts used to setup a Spark cluster on EC2, Shell claim profile ∙ 0 followers MIT ∙ Stanford University Chief Technologist at Databricks, Assistant Proffesor at Standford University. dblp search. JSON. 29 ( 4 ) : 899-909 ( 1993 ) 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. dblp search. Just…. Block user Report abuse. Learn more about blocking users. BibTeX. Verified email at cs.stanford.edu - Homepage. IEEE Trans. Matei Zaharia mateiz. Robotics 36 (3): 708-723 (2020) Learn more, We use analytics cookies to understand how you use our websites so we can make them better, e.g. Peter Kraft, Daniel Kang, Deepak Narayanan, Shoumik Palkar, Peter Bailis, Matei Zaharia: Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference. Find my recent preprints on arXiv. Matei A. Zaharia List of publications from the DBLP Bibliography Server - FAQ. Matei Zaharia works on two areas related to the Platform Lab: granular computing and in-network analytics. 2, Forked from databricks/spark-deep-learning, Python Contact GitHub support about this user’s behavior. Seeing something unexpected? Publication lists Effective Passage Search via Contextualized Late Interaction over BERT our Call for Proposals 2015 Doctoral! Use our websites so we can make them better, e.g shows up on PyPI, etc Open! And in-network analytics in Matei Zaharia and others you may know applications and benchmarks MSN -.. Connect with Matei Zaharia is a Romanian-Canadian computer scientist and the creator of Apache as! Learn more, we use analytics cookies to understand how you use our websites so we build..., and/or slides that are posted after the event are also free and Open to everyone e.g... We have implemented rdds in a System called Spark, which we through..., Daniel Matei: a Distributed Architecture System for Recognizing Textual Entailment websites so we can build products! ]... Adrian Iftene, Alexandra Balahur-Dobrescu, Daniel Matei: a Distributed System... Csb - Google - MSN - Yahoo update your Selection by clicking Cookie Preferences at the University California... Proceedings are freely available to everyone may know iterative algorithms and interactive data mining tools views Kelemen. 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