About this Course
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다음 전문 분야의 3개 강좌 중 3번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

완료하는 데 약 13시간 필요

권장: Four weeks of study, 4-8 hours/week depending on past experience with sequential programming in Java...

영어

자막: 영어

귀하가 습득할 기술

Distributed ComputingActor ModelParallel ComputingReactive Programming

다음 전문 분야의 3개 강좌 중 3번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

완료하는 데 약 13시간 필요

권장: Four weeks of study, 4-8 hours/week depending on past experience with sequential programming in Java...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 1시간 필요

Welcome to the Course!

1개 동영상 (총 1분), 5 readings, 1 quiz
1개의 동영상
5개의 읽기 자료
General Course Info5m
Course Icon Legend2m
Discussion Forum Guidelines2m
Pre-Course Survey10m
Mini Project 0: Setup20m
완료하는 데 4시간 필요

DISTRIBUTED MAP REDUCE

6개 동영상 (총 49분), 6 readings, 2 quizzes
6개의 동영상
1.2 Hadoop Framework8m
1.3 Spark Framework11m
1.4 TF-IDF Example7m
1.5 Page Rank Example8m
Demonstration: Page Rank Algorithm in Spark4m
6개의 읽기 자료
1.1 Lecture Summary5m
1.2 Lecture Summary5m
1.3 Lecture Summary5m
1.4 Lecture Summary5m
1.5 Lecture Summary5m
Mini Project 1: Page Rank with Spark15m
1개 연습문제
Module 1 Quiz30m
2
완료하는 데 4시간 필요

CLIENT-SERVER PROGRAMMING

6개 동영상 (총 43분), 6 readings, 2 quizzes
6개의 동영상
2.2 Serialization/Deserialization9m
2.3 Remote Method Invocation6m
2.4 Multicast Sockets7m
2.5 Publish-Subscribe Model6m
Demonstration: File Server using Sockets4m
6개의 읽기 자료
2.1 Lecture Summary5m
2.2 Lecture Summary5m
2.3 Lecture Summary5m
2.4 Lecture Summary5m
2.5 Lecture Summary5m
Mini Project 2: File Server15m
1개 연습문제
Module 2 Quiz30m
완료하는 데 15분 필요

Talking to Two Sigma: Using it in the Field

2개 동영상 (총 13분), 1 reading
2개의 동영상
Industry Professional on Distribution - Dr. Eric Allen, Senior Vice President6m
1개의 읽기 자료
About these Talks2m
3
완료하는 데 4시간 필요

MESSAGE PASSING

6개 동영상 (총 49분), 6 readings, 2 quizzes
6개의 동영상
3.2 Point-to-Point Communication9m
3.3 Message Ordering and Deadlock8m
3.4 Non-Blocking Communications7m
3.5 Collective Communication7m
Demonstration: Distributed Matrix Multiply using Message Passing9m
6개의 읽기 자료
3.1 Lecture Summary7m
3.2 Lecture Summary5m
3.3 Lecture Summary5m
3.4 Lecture Summary5m
3.5 Lecture Summary5m
Mini Project 3: Matrix Multiply in MPI15m
1개 연습문제
Module 3 Quiz30m
4
완료하는 데 4시간 필요

COMBINING DISTRIBUTION AND MULTITHREADING

6개 동영상 (총 44분), 7 readings, 2 quizzes
6개의 동영상
4.2 Multithreaded Servers6m
4.3 MPI and Threading7m
4.4 Distributed Actors8m
4.5 Distributed Reactive Programming7m
Demonstration: Parallel File Server using Multithreading and Sockets3m
7개의 읽기 자료
4.1 Lecture Summary5m
4.2 Lecture Summary5m
4.3 Lecture Summary10m
4.4 Lecture Summary5m
4.5 Lecture Summary5m
Mini Project 4: Multi-Threaded File Server15m
Exit Survey10m
1개 연습문제
Module 4 Quiz30m
완료하는 데 20분 필요

Continue Your Journey with the Specialization "Parallel, Concurrent, and Distributed Programming in Java"

2개 동영상 (총 10분), 1 reading
2개의 동영상
Industry Professional on Concurrency - Dr. Shams Imam, Software Engineer, Two Sigma3m
1개의 읽기 자료
Our Other Course Offerings10m
4.5
37개의 리뷰Chevron Right

25%

이 강좌를 수료한 후 새로운 경력 시작하기

22%

이 강좌를 통해 확실한 경력상 이점 얻기

25%

급여 인상 또는 승진하기

Distributed Programming in Java의 최상위 리뷰

대학: DHSep 17th 2017

Great course. The first programming assignment was challenging and well worth the time invested, I would recommend it for anyone that wants to learn parallel programming in Java.

대학: FFJan 24th 2018

Excellent course! Vivek is an excellent instructor as well. I appreciate having taken the opportunity to learn from him.

강사

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Vivek Sarkar

Professor
Department of Computer Science

라이스 대학교 정보

Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy....

Parallel, Concurrent, and Distributed Programming in Java 전문 분야 정보

Parallel, concurrent, and distributed programming underlies software in multiple domains, ranging from biomedical research to financial services. This specialization is intended for anyone with a basic knowledge of sequential programming in Java, who is motivated to learn how to write parallel, concurrent and distributed programs. Through a collection of three courses (which may be taken in any order or separately), you will learn foundational topics in Parallelism, Concurrency, and Distribution. These courses will prepare you for multithreaded and distributed programming for a wide range of computer platforms, from mobile devices to cloud computing servers. To see an overview video for this Specialization, click here! For an interview with two early-career software engineers on the relevance of parallel computing to their jobs, click here. Acknowledgments The instructor, Prof. Vivek Sarkar, would like to thank Dr. Max Grossman for his contributions to the mini-projects and other course material, Dr. Zoran Budimlic for his contributions to the quizzes, Dr. Max Grossman and Dr. Shams Imam for their contributions to the pedagogic PCDP library used in some of the mini-projects, and all members of the Rice Online team who contributed to the development of the course content (including Martin Calvi, Annette Howe, Seth Tyger, and Chong Zhou)....
Parallel, Concurrent, and Distributed Programming in Java

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

  • No. The lecture videos, demonstrations and quizzes will be sufficient to enable you to complete this course. Students who enroll in the course and are interesting in receiving a certificate will also have access to a supplemental coursebook with additional technical details.

  • Multicore Programming in Java: Parallelism and Multicore Programming in Java: Concurrency cover complementary aspects of multicore programming, and can be taken in any order. The Parallelism course covers the fundamentals of using parallelism to make applications run faster by using multiple processors at the same time. The Concurrency course covers the fundamentals of how parallel tasks and threads correctly mediate concurrent use of shared resources such as shared objects, network resources, and file systems.

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