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Opiniones y comentarios de aprendices correspondientes a Fundamentals of Parallelism on Intel Architecture por parte de Intel

4.6
estrellas
586 calificaciones
122 reseña

Acerca del Curso

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)....

Principales reseñas

RK
12 de oct. de 2021

Given that Intel Phi is already End of Life, it would be great if the course is augmented with methods to also offload processing to GPU. A great course with a great instructor.

PY
1 de may. de 2020

This coursework helped me to know the working of Intel architecture. How to optimize the code over the existing architecture with the help of vectorization and multithreading.

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26 - 50 de 122 revisiones para Fundamentals of Parallelism on Intel Architecture

por Phuong N

17 de jun. de 2020

Very interesting course! The exercises come with lectures are useful and practical. I highly recommend this course, especially for scientists and researchers who work with scientific applications but unfamiliar with parallelism.

por Rituraj K

13 de oct. de 2021

Given that Intel Phi is already End of Life, it would be great if the course is augmented with methods to also offload processing to GPU. A great course with a great instructor.

por Pramod Y

2 de may. de 2020

This coursework helped me to know the working of Intel architecture. How to optimize the code over the existing architecture with the help of vectorization and multithreading.

por Gunjan K S

11 de ago. de 2021

The course was really good and helped me understand new ways of optimizing code on distributed and multicore platforms

por Bhavesh S

24 de oct. de 2019

This was a very good experience and I will get additional marks for this in Computer Architecture Thanks to Coursera

por Changyu M

16 de ago. de 2020

Wonderful course, though sometimes will feel tough. It is worthwile to have it a try, will definitely learn sth.

por Dr. S H A M S

5 de may. de 2020

Best course for understanding the essentials concept to optimise the application on Intel Architecture.

por Nalaka R

7 de jun. de 2020

Awesome course, bit advanced but interesting. Better if more explanations in videos can be added

por Kapil S S

17 de oct. de 2019

Best Course for me as a beginner in understanding the concepts of parallel programming.

por Nitin R

30 de oct. de 2019

The course was a wonderful insight into the world of parallelism. Thanks for the same.

por Milo K

12 de mar. de 2020

Very good course highly recommend, wish they continued the series to higher levels.

por Utkarsh B

8 de nov. de 2019

the course was amazing and i get to learn a lot of new things through this course

por M B S V

8 de nov. de 2019

best learning space but too costly would be more helpful if less than 10 dollars

por Lakshit

3 de nov. de 2019

Had an amazing learning session with this course material. Thans to Coursera.

por Robert G

6 de oct. de 2019

No other alternative here, basically. Where are other courses from series?

por Mohith S

14 de oct. de 2019

I Think This is tyhe one of thebest useful courses to learn.Keep Learning

por Sharvan

6 de jun. de 2020

The teaching was in-depth and all the assignments were enlightening.

por Tran N M T

7 de ene. de 2021

Good course. Cover all important concepts for parallel computing

por Hemanth K

8 de feb. de 2020

An excellent course with great exercises. Highly recommended

por Junsoo P

3 de sep. de 2018

A very, very helpful course for learning parallel computing.

por Ravi P

15 de dic. de 2019

Overall Nice experience during the whole course duration.

por Andrea O

11 de abr. de 2020

Great introduction to the world of parallel programming.

por Wei X

28 de may. de 2020

would be even better to include GPU parallel processing

por Andreas W

22 de mar. de 2018

very nice course, good lecturer! I really enjoyed it!

por Binamra N

17 de oct. de 2019

It was very helpful in gaining additional knowledge.