Resources In Parallel And Concurrent Systems
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Resources in Parallel and Concurrent Systems
Computer Systems Organization -- Parallel architecture.
Concurrency & Parallelism
Author: Reeshabh Choudhary
language: en
Publisher: Reeshabh Choudhary
Release Date: 2024-05-15
Concurrency & Parallelism is about developing an intuition about what happens underneath a program, so that developers can first focus on utilizing the available resources at hand before thinking of scaling the solution. This is the very art of engineering, making use of resources in limited budget and getting things done. Once a developer understands what is going on beneath the surface, the programming languages are nothing but just abstractions via which we talk to our computers. And this is one of the reasons why this book has used minimal programming language. Rather than focusing on programming language, once a software developer starts to think with respect to the device at hand, then the real journey of programming starts. This book just barely tries to scratch the surface of the vast world of programming and starts from the very basic concepts of Operating Systems and then moving on to application development and in the second part interaction with the databases is covered. The book tries to capture the evolution of programming from concurrent execution of sequential programs to parallel programs, alongside the evolution of computer architecture. Book is written in a very language agnostic way as the author believes programming languages are nothing but just an abstraction over computer resources.
Parallel and Concurrent Programming in Haskell
Author: Simon Marlow
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2013-07-12
If you have a working knowledge of Haskell, this hands-on book shows you how to use the language’s many APIs and frameworks for writing both parallel and concurrent programs. You’ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs with threads for multiple interactions. Author Simon Marlow walks you through the process with lots of code examples that you can run, experiment with, and extend. Divided into separate sections on Parallel and Concurrent Haskell, this book also includes exercises to help you become familiar with the concepts presented: Express parallelism in Haskell with the Eval monad and Evaluation Strategies Parallelize ordinary Haskell code with the Par monad Build parallel array-based computations, using the Repa library Use the Accelerate library to run computations directly on the GPU Work with basic interfaces for writing concurrent code Build trees of threads for larger and more complex programs Learn how to build high-speed concurrent network servers Write distributed programs that run on multiple machines in a network