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Who needs Concurrency and Computation: Practice and Experience?

1. Researchers working in the field of concurrency and computation.
2. Academics seeking to publish their findings in a reputable journal.
3. Graduate and postgraduate students conducting research.
4. Professionals in computer science and related disciplines looking to share their work.
5. Institutions aiming to enhance their academic profiles through published research.

People Also Ask about

Is it hard to learn concurrency?

Concurrency is a fundamental concept in computer science and software engineering, but it is also one of the most challenging to get right. Concurrency allows multiple tasks to be executed simultaneously, which can lead to improved performance and responsiveness in software systems.

What is concurrency and computation?

Concurrent computing is a form of computing in which several computations are executed concurrently — during overlapping time periods — instead of sequentially — with one completing before the next starts.

Is Java concurrency hard?

Editor's Note: Concurrency is one of the hardest concepts for many developers to grasp, but it is an important concept to grasp in modern software development.

Is concurrency hard to learn?

Concurrency is a fundamental concept in computer science and software engineering, but it is also one of the most challenging to get right. Concurrency allows multiple tasks to be executed simultaneously, which can lead to improved performance and responsiveness in software systems.

Why is concurrency so complicated?

The problem with concurrency is that it is non deterministic. Which is to say that you don't know exactly what order different threads will do things in. Traditionally programmers have tried to solve this by using locks and the like. This has lead to a LOT of pain.

Is Python good for concurrency?

Your best shot at concurrency in Python is multiprocessing. If you don't need communication between your processes it's quite easy really. Otherwise it's not, and python might not be the ideal language for your task. Concurrency is one of go's biggest strengths and one of pythons biggest weaknesses.

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What is Concurrency and Computation: Practice and Experience?

Concurrency and Computation: Practice and Experience is a peer-reviewed journal that focuses on research and practice surrounding concurrency and computation in various fields, emphasizing practical implementations and real-world applications.

Who is required to file Concurrency and Computation: Practice and Experience?

Authors submitting research papers, review articles, and related works that align with the journal's themes are required to file submissions to Concurrency and Computation: Practice and Experience.

How to fill out Concurrency and Computation: Practice and Experience?

To fill out a submission for Concurrency and Computation: Practice and Experience, authors must follow the journal's submission guidelines, which typically include formatting the manuscript according to specified templates, providing a cover letter, and ensuring all required information is included.

What is the purpose of Concurrency and Computation: Practice and Experience?

The purpose of Concurrency and Computation: Practice and Experience is to disseminate new findings and practical solutions related to concurrency, parallel computing, and their applications, fostering collaboration and knowledge exchange among researchers and practitioners.

What information must be reported on Concurrency and Computation: Practice and Experience?

Submissions to Concurrency and Computation: Practice and Experience must report comprehensive information including the title, abstract, methodology, results, discussion, references, and any necessary data or supplementary materials.