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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)....

Top-Bewertungen

RK

12. Okt. 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. Mai 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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