Below you will find the best parallel programming courses that are currently available on the internet. They are updated regularly with the aim to keep all their characteristics like price, level of difficulty, and certificate quality up to date so you can make an informed decision about which is the best parallel programming course for you. Feel free to use the filters below to sift through the entire database on Courseroot.
A great course now if you want to learn about .NET applications. They have skilled and experienced individuals who provide a complete introduction on task-oriented programming models and working various techniques for the effective use of the TPL.
If you want your .NET applications to speed up, take this intermediate course using the new task-based model in .NET 4 and Silverlight 5. The course also tackles the task parallel library, dangers of concurrent execution and more. It is a prerequisite that the one who takes up this course has experience with .NET 4 or Silverlight 5.
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. In particular, yo
The MapReduce programming model is the de facto standard for parallel processing of Big Data. This course introduces MapReduce, explains how data flows through a MapReduce program, and guides you through writing your first MapReduce program in Java. Processing millions of records requires that you f
This is an entry-level course on CUDA- a GPU programming technology from NVIDIA. You will be introduced with the basics of CUDA and taught how to start using CUDA platform and leverage the power of modern NVIDIA GPUs. You will also learn a great deal about the architecture of the GPU.
If you have some background in Java programming this is just a course for you. You will learn how to use popular parallel Java frameworks (such as ForkJoin, Stream, and Phaser) to write parallel programs for a wide range of multicore platforms including servers, desktops, or mobile devices, while also learning about their theoretical foundations including computation graphs, ideal parallelism, parallel speedup, Amdahl's Law, data races, and determinism. More information
If you want to learn more about multithreading and concurrent programming, parallel computation and MapReduce in Java that this is just a course for you. The students of this course will get to learn from an expert in the field of Java.
Dmitri Nesteruk offers to teach you all about parallel Programming with .NET and C#. You will learn the core multithreading and parallelization concepts that are supported by the .NET framework.
Master core Concurrent and Parallel concepts and create powerful web applications.
Learn how to overcome problems related to multithreading and how to improve performance by parallel computing in C#
Learn parallel programming OpenMP, CUDA and distributed computing MPI & use HPC cluster systems with Slurm and PBS
Learn the fundamentals of GPU & CUDA programming, use your knowledge in Machine Learning, Data Mining and Deep Learning
Master efficient parallel programming to build powerful applications using Python
basics of CUDA This course is intends to explain the basics of CUDA using C/C++ programming language, which you can use your stepping stone to machine learning, deep learning and big data careers. CUDA is a parallel computing platform and application programming interface (API) model created by Nvid