Price: $49.99 - $43.14
(as of Nov 21,2024 17:34:24 UTC – Details)

ASIN ‏ : ‎ 3319219022
Publisher ‏ : ‎ Springer; 1st ed. 2016 edition (February 11, 2016)
Language ‏ : ‎ English
Paperback ‏ : ‎ 315 pages
ISBN-10 ‏ : ‎ 9783319219028
ISBN-13 ‏ : ‎ 978-3319219028
Item Weight ‏ : ‎ 1 pounds
Dimensions ‏ : ‎ 6.1 x 0.72 x 9.25 inches

Introduction to HPC with MPI for Data Science (Undergraduate Topics in Computer Science)

High Performance Computing (HPC) is a crucial component in the field of data science, allowing researchers and analysts to process and analyze large datasets efficiently. Message Passing Interface (MPI) is a popular parallel computing framework that enables communication between processes running on different nodes in a cluster.

In this post, we will introduce the basics of HPC with MPI for data science, focusing on how it can be utilized to accelerate data processing and analysis tasks. We will cover topics such as parallel computing, distributed computing, and how MPI can be used to implement parallel algorithms for data science applications.

Whether you are a student studying computer science or a data science enthusiast looking to expand your knowledge, this post will provide you with a solid foundation in HPC with MPI for data science. Stay tuned for more in-depth discussions and practical examples to help you harness the power of high performance computing in your data science projects.
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