Parallel computing is a type of computing architecture in which several processors execute or process an application or computation simultaneously. Parallel computing helps in performing large computations by dividing the workload between more than one processor, all of which work through the computation at the same time. Most supercomputers employ parallel computing principles to operate. Parallel computing is also known as parallel processing.

Coursesity is a online blog who are doing hard work to share most healthy resources available from web to all of you. Today, we presented the 7 Best Courses on Introduction to Parallel Computing Tutorials to learn parallel computing for beginners to advanced level.

Best Parallel Computing Courses, Parallel Computing Tutorials & Certifications List

  1. Multithreading and Parallel Computing in Java
  2. Parallel programming
  3. Learn Parallel Programming with C# and .NET
  4. Rock the JVM! Akka Essentials with Scala
  5. Getting Started with Asynchronous Programming in .NET
  6. Introduction to Parallel Computing
  7. Parallel Computing for Professionals

1.Introduction To Parallel Computing And Multithreading in Java

This Parallel processing course is about the basics of multithreading and concurrent programming with some parallel concepts. In the 21th century this topic is becoming more and more popular with the advent of Big Data and Machine Learning.Multithreading and Concurrent Programming, Parallel Computation and MapReduce in Java.

⭐ : 4.4 (1,272 ratings)

With this Parallel processing course, you will:

  • Understand basic concurrency
  • Understand the basics of multithreading
  • Understand parallel processing
  • Able to use the concepts in real life scenarios

The second chapter will be about concurrent library: of Parallel processing course there are built in classes and interfaces that we can use when implementing multithreaded applications. Then we develop little programs as show-cases for multithreading: the dining-philosopher problem or the students in library simulation. Last chapter is about parallel computing and MapReduce.

You can take Multithreading and Parallel Computing in Java Certificate Course on Udemy.

2.Parallel programming Tutorials

Learn Parallel programming tutorials from École Polytechnique Fédérale de Lausanne. With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread.

⭐ : 4.5 (1,569 ratings)

With this Parallel programming tutorials, you will:

  • Learn about task and data parallel programs,
  • Learn common algorithms in a functional style and solve them in parallel,
  • Learn competently microbenchmark parallel code,
  • Write programs that effectively use parallel collections to achieve performance

With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. In this Parallel programming tutorials , you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm.

The Parallel programming tutorials starts with the nuts and bolts how to effectively parallelize familiar collections operations, and will build up to parallel collections, a production-ready data parallel collections library available in the Scala standard library. Throughout, we'll apply these concepts through several hands-on examples that analyze real-world data, such as popular algorithms like k-means clustering.

You can take Parallel programming Certificate Course on Coursera.

3.Learn Parallel Programming with C# and .NET

Parallel Processing course online is about .NET Parallel Programming with C# and covers the core multithreading facilities in the .NET Framework, namely the Task Parallel Library (TPL) and Parallel LINQ (PLINQ). This Parallel Processing course online will teach you about: Task Programming: how to create and run tasks, cancel them, wait on them and handle exceptions that occur in tasks.Discover the core multithreading and parallelization concepts supported by the .NET framework.

⭐ : 4.5 (1,091 ratings)

With this Parallel Processing course online, you will:

  • Create and run independent tasks
  • Manage synchronized access to data
  • Effectively use parallel collections
  • Work with task continuations
  • Write parallel loops
  • Leverage the power of Parallel LINQ
  • Master asynchronous programming (async/await)

Data Sharing and Synchronization, ensuring your access to shared data also happens in a safe and consistent manner. Concurrent Collections, such as ConcurrentBag, which operate correctly even when accessed from multiple threads. Task Coordination concepts, including the idea of continuations, as well as uses of synchronization primitives to coordinate tasks.

Parallel Loops which let you easily iterate over a counter or collection while partitioning the data and processing it on separate threads. Parallel LINQ, the parallel version of .NET's awesome Language-Integrated Query (LINQ) technology. Async/Await and .NET's support for asynchronous programming.

This Parallel Processing course online is suitable for: Beginner and experienced .NET/C# developers Anyone interested in multi-threading, parallelism and asynchronous programming The Parallel Processing course online consists of the following materials: Video lectures showing hands-on programming C# files that you can download and run Before taking the course, you should be comfortable with the C# programming language and familiar with multi-threading. Who this course is for: Beginner and experienced .NET developers Computer Science students Anyone interested in modern approaches to multithreading/parallelism

You can take Learn Parallel Programming with C# and .NET Certificate Course on Udemy.

4.Parallel Processing Course on Scala

In this Parallel processing course on Scala, you will learn how to write concurrent and resilient applications using Akka actors. This Parallel processing course on Scala is for Scala programmers who need to design complex and scalable concurrent applications. Why Akka: it speeds up the development of concurrent applications by as much as 10x its demand has exploded it's a highly marketable skill it's incredibly fun - once tasted Akka, you'll never want to get back to threads I like to get to the point and get things done. Learn the Akka actor model with Scala and write parallel, concurrent and fault-tolerant systems with Akka supervision.

⭐ : 4.7 (358 ratings)

With this Parallel processing course on Scala , you will:

  • Create concurrent applications with actors instead of threads and locks
  • Design fault-tolerant systems with supervision
  • Configure Akka for various scenarios
  • Confidently test actor systems
  • Use Akka patterns and best practices

This Parallel processing course on Scala deconstructs all concepts into the critical pieces you need selects the most important ideas and separates them into what's simple but critical and what's powerful sequences ideas in a way that "clicks" and makes sense throughout the process of learning applies everything in live code. This Parallel processing course on Scala is for established programmers with experience with Scala and with functional programming at the level of the Rock the JVM Scala beginners course. I already assume a solid understanding of general programming fundamentals.

You can take Rock the JVM! Akka Essentials with Scala Certificate Course on Udemy.

5.Getting Started with Asynchronous Programming in .NET

Learn how to effectively apply asynchronous principles in any type of .NET application using async and await together with the task parallel library. This introduction to parallel computing course will give you the insight to build fast, powerful, and easy to maintain applications.

Utilizing asynchronous principles is crucial for building fast and responsive applications. In this course, Getting Started with Asynchronous Programming in .NET, you’ll learn foundational knowledge to efficiently apply the asynchronous principles to build fast and solid applications.

First, you’ll explore how the async and await keywords fit into your .NET applications, and how it ties together with the task parallel library. Next, you’ll discover how asynchronous programming is different from parallel programming and how to use the parallel extensions to perform fast computations, which utilizes all your available processing power. Finally, you’ll learn how to adapt in advanced scenarios, and where deeper knowledge of the internals may be required.

You can take Getting Started with Asynchronous Programming in .NET Certificate Course on Pluralsight.

6.Introduction to Parallel Computing

Most new computer architectures are parallel, requiring programmers to know the basic issues and techniques for writing this software. This Introduction to Parallel computing course is an introduction to the basic issues of and techniques for writing parallel software.

You will be provided with an advanced foundation in various programming models and varieties of parallelism in current hardware. Significant parallel programming assignments will be given as homework. The Parallel computing course includes topics like Fast networks, multicore, accelerators and vector instruction sets Implicit vs. explicit parallelism, Shared vs. non-shared memory, Synchronization mechanisms such as locking, atomicity, transactions and barriers, Parallel programming models such as threads, MapReduce, Apache Spark and SIMT.

You can take Parallel Computing Certificate Course on Stanford.

7.Parallel Computing for Professionals

These tutorials on Parallel Computing for professionals is an advanced interdisciplinary introduction to applied parallel computing on modern supercomputers. It has a hands-on emphasis on understanding the realities and myths of what is possible on the world's fastest machines.

Numerical topics include: dense and sparse linear algebra, N-body problems, multigrid, fast-multipole, wavelets and Fourier transforms. Geometrical topics include partitioning and mesh generation. Other topics include: applications oriented architecture, understanding parallel programming paradigms, MPI, data parallel systems, Star-P for parallel Python and parallel MATLAB®, graphics processors, virtualization, caches and vector processors.

One emphasis for this tutorials on Parallel Computing for professionals  will be VHLLs or Very High Level Languages for parallel computing. This includes the Julia programming language. Julia is a high-level, high-performance dynamic language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.

You can take Parallel Computing Certificate Course on MIT OpenCourseWare.

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