Search result for Parallel algorithms Online Courses & Certifications
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Parallel programming
by Prof. Viktor Kuncak , Dr. Aleksandar Prokopec- 4.4
Approx. 33 hours to complete
With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. - write programs that effectively use parallel collections to achieve performance Basic Task Parallel Algorithms...
Parallel programming
by Prof. Viktor Kuncak , Dr. Aleksandar Prokopec- 4.4
Approx. 33 hours to complete
With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. - write programs that effectively use parallel collections to achieve performance Basic Task Parallel Algorithms...
Learn Modern C++ Multithreading
by James Raynard- 4.7
7 hours on-demand video
We will also look at asynchronous, lock-free and parallel programming, including the parallel algorithms in C++17....
$9.99
Java Multithreading , Concurrency & Parallel Programming 2/e
by Basics Strong- 4.3
10.5 hours on-demand video
Java MultiThreading, Concurrency, Parallel Algorithms, Asynchronous programming , Executors, CompletableFuture and more BEST in Class course for programmers to learn multitasking, MultiThreading and Parallel programming paradigm. Parallel algorithms. Parallel Streams for Faster processing of Collections. Then we will write and solve some Algorithms using parallel processing...
$11.99
High Performance Computing
by Rich Vuduc , Catherine Gamboa- 0.0
Approx. 4 months
This course will give you solid foundations for developing, analyzing, and implementing parallel and locality-efficient algorithms. lesson 1 Work-Span or Dynamic Multithreading Model Intro to the basic algorithmic model Intro to OpenMP a practical programming model Comparison-based sorting algorithms Scans and linked list algorithms Tree algorithms Graph algorithms e....
Free
Concurrency, Multithreading and Parallel Computing in Java
by Holczer Balazs- 4.5
8.5 hours on-demand video
Multithreading and Concurrent Programming, Parallel Computation and MapReduce in Java + Fork-Join and Stream API This course is about the basics of multithreading and concurrent programming with some parallel concepts. Section 8 - Parallel Algorithms: what is parallel computing parallel merge sort parallel algorithms maximum finding in parallel manner sequential streams and parallel streams...
$17.99
Data Manipulation at Scale: Systems and Algorithms
by Bill Howe- 4.3
Approx. 20 hours to complete
Use database technology adapted for large-scale analytics, including the concepts driving parallel databases, parallel query processing, and in-database analytics “Think” in MapReduce to effectively write algorithms for systems including Hadoop and Spark. MapReduce and Parallel Dataflow Programming A Sketch of Data-Parallel Algorithms "Pleasingly Parallel" Algorithms Parallel and Distributed Query Processing Join Algorithms...
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Big Data Analysis with Scala and Spark
by Prof. Heather Miller- 4.7
Approx. 28 hours to complete
In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. We'll cover Spark's programming model in detail, being careful to understand how and when it differs from familiar programming models, like shared-memory parallel collections or sequential Scala collections. This course is intended to be taken after Parallel Programming: https://www....
Advanced Data Science Capstone
by Romeo Kienzler- 4.6
Approx. 9 hours to complete
This project completer has proven a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms, frameworks and technologies and how they impact model performance and scalability....
Advanced Machine Learning and Signal Processing
by Romeo Kienzler , Nikolay Manchev- 4.5
Approx. 27 hours to complete
We learn how to tune the models in parallel by evaluating hundreds of different parameter-combinations in parallel....