Acerca de este Curso
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Fechas límite flexibles

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Nivel intermedio

Aprox. 15 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English)

Habilidades que obtendrás

DataflowParallel ComputingJava ConcurrencyData Parallelism
Los estudiantes que toman este Course son
  • Software Engineers
  • Machine Learning Engineers
  • Data Engineers
  • Data Scientists
  • Program Managers

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel intermedio

Aprox. 15 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
1 hora para completar

Welcome to the Course!

1 video (Total 1 minutos), 5 lecturas, 1 cuestionario
1 video
5 lecturas
General Course Info5m
Course Icon Legend5m
Discussion Forum Guidelines5m
Pre-Course Survey10m
Mini Project 0: Setup10m
4 horas para completar

Task Parallelism

7 videos (Total 42 minutos), 6 lecturas, 2 cuestionarios
7 videos
1.2 Tasks in Java's Fork/Join Framework5m
1.3 Computation Graphs, Work, Span7m
1.4 Multiprocessor Scheduling, Parallel Speedup8m
1.5 Amdahl's Law5m
ReciprocalArraySum using Async-Finish (Demo)4m
ReciprocalArraySum using RecursiveAction's in Java's Fork/Join Framework (Demo)5m
6 lecturas
1.1 Lecture Summary5m
1.2 Lecture Summary5m
1.3 Lecture Summary5m
1.4 Lecture Summary5m
1.5 Lecture Summary5m
Mini Project 1: Reciprocal-Array-Sum using the Java Fork/Join Framework10m
1 ejercicio de práctica
Module 1 Quiz30m
Semana
2
4 horas para completar

Functional Parallelism

7 videos (Total 40 minutos), 6 lecturas, 2 cuestionarios
7 videos
2.2 Futures in Java's Fork/Join Framework5m
2.3 Memoization6m
2.4 Java Streams5m
2.5 Data Races and Determinism9m
ReciprocalArraySum using RecursiveTask's in Java's Fork/Join Framework (Demo)3m
Parallel List Processing Using Java Streams (Demo)4m
6 lecturas
2.1 Lecture Summary10m
2.2 Lecture Summary10m
2.3 Lecture Summary10m
2.4 Lecture Summary10m
2.5 Lecture Summary10m
Mini Project 2: Analyzing Student Statistics Using Java Parallel Streams10m
1 ejercicio de práctica
Module 2 Quiz30m
23 minutos para completar

Talking to Two Sigma: Using it in the Field

2 videos (Total 13 minutos), 1 lectura
2 videos
Industry Professionals on Parallelism - Jake Kornblau and Margaret Kelley, Software Engineers6m
1 lectura
About these Talks10m
Semana
3
4 horas para completar

Loop Parallelism

7 videos (Total 41 minutos), 6 lecturas, 2 cuestionarios
7 videos
3.2 Parallel Matrix Multiplication4m
3.3 Barriers in Parallel Loops5m
3.4 Parallel One-Dimensional Iterative Averaging8m
3.5 Iteration Grouping/Chunking in Parallel Loops6m
Parallel Matrix Multiplication (Demo)4m
Parallel One-Dimensional Iterative Averaging (Demo)5m
6 lecturas
3.1 Lecture Summary10m
3.2 Lecture Summary10m
3.3 Lecture Summary10m
3.4 Lecture Summary10m
3.5 Lecture Summary10m
Mini Project 3: Parallelizing Matrix-Matrix Multiply Using Loop Parallelism10m
1 ejercicio de práctica
Module 3 Quiz30m
Semana
4
5 horas para completar

Data flow Synchronization and Pipelining

7 videos (Total 38 minutos), 7 lecturas, 2 cuestionarios
7 videos
4.2 Point-to-Point Sychronization with Phasers4m
4.3 One-Dimensional Iterative Averaging with Phasers4m
4.4 Pipeline Parallelism5m
4.5 Data Flow Parallelism5m
Phaser Examples6m
Pipeline & Data Flow Parallelism7m
7 lecturas
4.1 Lecture Summary10m
4.2 Lecture Summary10m
4.3 Lecture Summary10m
4.4 Lecture Summary10m
4.5 Lecture Summary10m
Mini Project 4: Using Phasers to Optimize Data-Parallel Applications10m
Exit Survey10m
1 ejercicio de práctica
Module 4 Quiz30m
20 minutos para completar

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

2 videos (Total 10 minutos), 1 lectura
2 videos
Industry Professional on Distribution - Dr. Eric Allen, Senior Vice President, Two Sigma6m
1 lectura
Our Other Course Offerings10m
4.6
129 revisionesChevron Right

25%

comenzó una nueva carrera después de completar estos cursos

12%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

Principales revisiones sobre Parallel Programming in Java

por LGDec 13th 2017

This is a great course in parallel programming. The videos were very clear, summaries reinforced the video material and the programming projects and quizzes were challenging but not overwhelming.

por SVAug 28th 2017

Great course. Introduces Parallel Programming in Java in a gentle way.\n\nKudos to Professor Vivek Sarkar for simplifying complex concepts and presenting them in an elegant manner.

Instructor

Avatar

Vivek Sarkar

Professor
Department of Computer Science

Acerca de Universidad Rice

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....

Acerca de Programa especializado Parallel, Concurrent, and Distributed Programming in Java

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

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

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