From 078e51959a86ed334e31bea30abdc489d1cecb97 Mon Sep 17 00:00:00 2001 From: PsiActual Date: Tue, 5 Mar 2019 11:06:56 -0500 Subject: [PATCH] Added additional resource links and corrected punctuation (#32149) --- .../english/computer-science/parallel-computing/index.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/guide/english/computer-science/parallel-computing/index.md b/guide/english/computer-science/parallel-computing/index.md index df9edadcd1..a80ed6c853 100644 --- a/guide/english/computer-science/parallel-computing/index.md +++ b/guide/english/computer-science/parallel-computing/index.md @@ -13,8 +13,8 @@ In the simplest sense, parallel computing is the simultaneous use of **multiple ### Why Parallelism - Faster, of course - - Finish the work earlier - Same work in less time - - Do more work - More work in the same time + - Finish the work earlier - Same work in less time. + - Do more work - More work in the same time. ### How to parallelize - Firstly, break down the computational part into small pieces. @@ -65,7 +65,7 @@ In the simplest sense, parallel computing is the simultaneous use of **multiple - Part (or all) of the memory is accessible to all processors. - Processors interact by modifying data objects stored in this shared-address-space. - If the time taken by a processor to access any memory word in the system (global or local) is - - identical, then the platform is classified as a **uniform memory access (UMA)**, + - identical, then the platform is classified as a **uniform memory access (UMA)**. - not identical, then its classified as **non-uniform memory access (NUMA)** machine. ![Shared memory](https://computing.llnl.gov/tutorials/parallel_comp/images/sharedMemoryModel.gif) @@ -83,5 +83,7 @@ In the simplest sense, parallel computing is the simultaneous use of **multiple #### More Information: - [Parallel Computing on Wikipedia](https://en.wikipedia.org/wiki/Parallel_computing) + - [Task (Functional) Parallelism](https://en.wikipedia.org/wiki/Task_parallelism) + - [Data (Domain) Parallelism](https://en.wikipedia.org/wiki/Data_parallelism) - [Introduction to Parallel Computing](https://computing.llnl.gov/tutorials/parallel_comp/) - [Introduction to Parallel Computing-Book](https://www-users.cs.umn.edu/~karypis/parbook/)