GNU Image Manipulation Program 1 / 653 GNU Image Manipulation Program User Manual GNU Image Manipulation Program 2 / 653 Copyright © 2002, 2003, 2004, 2005, 2006, 2007 The GIMP Documentation Team the section enphrased GNU Free Documentation License. GNU Image Manipulation Program 3 / 653 COLLABORATORS TITLE : REFERENCE : GNU Image Manipulation Program ACTION NAME DATE SIGNATURE WRITTEN BY 2007 REVISION HISTORY NUMBER DATE DESCRIPTION NAME $Revision: 1985 $ 2007-07-15 romanofski GNU Image Manipulation Program 4 / 653 Contents I Getting started 21 1 Introduction 22 1.1 Welcome to the

GNU Image Manipulation Program User Manual November 17, 2021 GNU Image Manipulation Program Copyright © 2002-2021 The GIMP Documentation Team Legal Notice Permission is granted to copy, distribute Toolbox . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 3.2.2 Image Window . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 3.2.3 Dialogs . . . . . . . . 26 3.4.2 Change the Size of an Image for the screen . . . . . . . . . . . . . . . . . . . . . . . 26 3.4.3 Change the Size of an Image for print . . . . . . . . . . . . . . . . . . .

CurveBS I/O processing flow Before introducing IO processing flow, we first describe the overall architecture, data organization and topology structure of CURVE. CurveBS uses the central sockets. l Nebdserver: Accepts requests from NEBDClient and calls Curve Client for corresponding processing. it can receive requests from different NEBDClients.3. Through the above splitting, NebdClient NebdClient replaces Curve Client and directly interfaces with upper services. There is no logical processing in NEBDClient, it just proxy requests and has limited retries, which ensuring that NEBDClient

Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri
 vkalavri@bu.edu Spring 2020 1/23: Stream Processing Fundamentals Vasiliki Kalavri | Boston University University 2020 What is a stream? • In traditional data processing applications, we know the entire dataset in advance, e.g. tables stored in a database. A data stream is a data set that is produced incrementally incrementally over time, rather than being available in full before its processing begins. • Data streams are high-volume, real-time data that might be unbounded • we cannot store the entire stream

Processing XML and Spreadsheet in Go 续 日 Gopher China Conference Beijing 2021 6/26 - 6/27 Self Introduction The author of the Excelize - Go language spreadsheet library. Familiar with Go language Complex XML 02 • Partial Load • Namespace & Entity • Ser/Deserialize Idempotence High Performance Processing 03 • XML Schema Definition • DOM or SAX OOXML Spreadsheets 04 • Excel XML Specification • work:addr="WORK"> High Performance Processing XML Components Data Model Tom

Scalable Stream Processing - Spark Streaming and Flink Amir H. Payberah payberah@kth.se 05/10/2018 The Course Web Page https://id2221kth.github.io 1 / 79 Where Are We? 2 / 79 Stream Processing Systems Design Design Issues ▶ Continuous vs. micro-batch processing ▶ Record-at-a-Time vs. declarative APIs 3 / 79 Outline ▶ Spark streaming ▶ Flink 4 / 79 Spark Streaming 5 / 79 Contribution ▶ Design issues issues • Continuous vs. micro-batch processing • Record-at-a-Time vs. declarative APIs 6 / 79 Spark Streaming ▶ Run a streaming computation as a series of very small, deterministic batch jobs. • Chops

??? Vasiliki Kalavri | Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri
 vkalavri@bu.edu Spring 2020 4/16: Skew mitigation ??? Vasiliki Kalavri | Uddin Nasir et. al. The power of both choices: Practical load balancing for distributed stream processing engines. ICDE 2015. • Mitzenmacher, Michael. The power of two choices in randomized load balancing

Vasiliki Kalavri | Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri
 vkalavri@bu.edu Spring 2020 2/25: State Management Vasiliki Kalavri | Boston operator. Keyed state can only be used by functions that are applied on a KeyedStream: • When the processing method of a function with keyed input is called, Flink’s runtime automatically puts all keyed fare, Collector> out) throws Exception {
 // similar logic for processing fare events
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Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri
 vkalavri@bu.edu Spring 2020 4/14: Stream processing optimizations ??? Vasiliki Kalavri | Boston University serialization cost • if operators are separate, throughput is bounded by either communication or processing cost • if fused, throughput is determined by operator cost only Operator fusion A B A B is statically configured with a certain number of processing slots that defines the maximum number of concurrent tasks it can execute. • A processing slot can execute one slice of an application, i.e