Об этом курсе
4.2
Оценки: 44
Рецензии: 17
This course will introduce you to the multiple forms of parallelism found in modern Intel architecture processors and teach you the programming frameworks for handling this parallelism in applications. You will get access to a cluster of modern manycore processors (Intel Xeon Phi architecture) for experiments with graded programming exercises. This course can apply to various HPC and datacenter workloads and framework including artificial intelligence (AI). You will learn how to handle data parallelism with vector instructions, task parallelism in shared memory with threads, parallelism in distributed memory with message passing, and memory architecture parallelism with optimized data containers. This knowledge will help you to accelerate computational applications by orders of magnitude, all the while keeping your code portable and future-proof. Prerequisite: programming in C/C++ or Fortran in the Linux environment and Linux shell proficiency (navigation, file copying, editing files in text-based editors, compilation)....
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Intermediate Level

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Approx. 18 hours to complete

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Приобретаемые навыки

Distributed ComputingComputer ArchitectureOpenmpParallel Computing
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Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Intermediate Level

Промежуточный уровень

Clock

Approx. 18 hours to complete

Предполагаемая нагрузка: 6 hours/week...
Comment Dots

English

Субтитры: English...

Программа курса: что вы изучите

Week
1
Clock
3 ч. на завершение

Modern Code

In the Introduction we will learn......
Reading
7 видео (всего 41 мин.), 1 материал для самостоятельного изучения, 3 тестов
Video7 видео
1.1 Why this course?5мин
1.2 How Computers Get Faster6мин
1.3 Intel Architecture6мин
1.4 Modern Code5мин
1.5 What You Are Going To Learn1мин
1.6 Remote Access11мин
Reading1 материал для самостоятельного изучения
Modern Code10мин
Quiz1 практическое упражнение
Modern code10мин
Week
2
Clock
3 ч. на завершение

Vectorization

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Reading
13 видео (всего 72 мин.), 3 материалов для самостоятельного изучения, 2 тестов
Video13 видео
2.2 Vectorizing Your Code5мин
2.3.1 Automatic Vectorization5мин
2.3.2 Will This Vectorize?15мин
2.4 Guided Automatic Vectorization4мин
2.8.1 Stencil Introduction2мин
2.8 Stencil9мин
2.5 SIMD-Enabled Functions3мин
2.6 Vector Dependence5мин
2.7 Strip Mining1мин
Numerical Integration Introduction2мин
2.9 Integral Vectorization8мин
2.10 Learn More1мин
Reading3 материала для самостоятельного изучения
Vectorization10мин
Code Download10мин
Code Download10мин
Quiz1 практическое упражнение
Vectorization10мин
Week
3
Clock
2 ч. на завершение

Multithreading with OpenMP

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Reading
10 видео (всего 41 мин.), 3 материалов для самостоятельного изучения, 2 тестов
Video10 видео
Demo: Forks9мин
3.2 Creating Threads4мин
3.3 Variable Sharing1мин
3.4 Parallel Loops5мин
3.5 Data Races Mutexes4мин
3.7 Parallel Reduction4мин
Stencil Introduction2мин
Stencil Demonstration3мин
Learn More1мин
Reading3 материала для самостоятельного изучения
Multithreading with OpenMP10мин
Code Download10мин
Code Download10мин
Quiz1 практическое упражнение
OpenMP14мин
Week
4
Clock
3 ч. на завершение

Memory Traffic

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Reading
14 видео (всего 57 мин.), 3 материалов для самостоятельного изучения, 2 тестов
Video14 видео
4.2 Memory Hierarchy7мин
4.3 High Bandwidth Memory3мин
4.4 Memory Allocation1мин
Stencil Introduction2мин
Demo: Stencil with numactl3мин
Demo: Stencil with Memkind3мин
4.5 Bypassing Caches2мин
Stencil Demonstration-Nontemporal1мин
Stencil Demonstration-Char3мин
4.6 Locality in Space7мин
4.7 Locality in Time8мин
Integral Introduction2мин
Integral Demonstrationмин
Reading3 материала для самостоятельного изучения
Memory Traffic10мин
Code Download10мин
Code Download10мин
Quiz1 практическое упражнение
Memory traffic16мин
4.2

Лучшие рецензии

автор: AVAug 31st 2018

Nice course, really enjoyed every challenge in the course. Well laid out goals for a Computer Science student.

автор: RVMay 14th 2018

Please bring advance courses by Intel also such as FPGA based courses.

Преподаватель

Andrey Vladimirov

Head of High-Performance Computing Research
Colfax International

О Intel

The Intel® Developer Zone offers tools and how-to information to enable cross-platform app development through platform and technology information, code samples, and peer expertise in order to help developers innovate and succeed. Join communities for the Internet of Things, Artificial Intelligence, Virtual Reality, Persistent Memory & Game Dev to download tools, access dev kits, share ideas with like-minded developers, and participate in hackathons, contests, roadshows, and local events....

Часто задаваемые вопросы

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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