Learn the difference between concurrent and parallel programming, the benefits and challenges of each paradigm, and some examples of how to use them in system development.

Parallel programming is a subset of concurrent programming that focuses on exploiting the hardware capabilities of multicore processors, distributed systems, or specialized devices, such as GPUs ...

️ Demonstrate different approaches to serialization and deserialization of data structures for distributed programming ️ Recall the use of remote method invocations as a higher-level primitive for ...

In this work, we present a survey of the different parallel programming models and tools available today with special consideration to their suitability for high-performance computing. Thus, we review ...

In this work, we present a survey of the different parallel programming models and tools available today with special consideration to their suitability for high-performance computing. Thus, we review ...

The MapReduce programming paradigm is designed to allow parallel and distributed processing of large sets of data (also known as big data). MapReduce allows us to convert such big datasets into sets ...

Software component architectures allow assembly of applications from individual software modules based on clearly defined programming interfaces, thus improving the reuse of existing solutions and ...

C. Hughes and T. Hughes, “Parallel and Distributed Programming Using C++,” Addison-Wesley, Boston, 2003. has been cited by the following article: TITLE: A Game Comparative Study: Object-Oriented ...

C. Hughes and T. Hughes, “Parallel and Distributed Programming Using C++,” Addison-Wesley, Boston, 2003. ... ABSTRACT: This paper presents a new programming paradigm named Notification-Oriented ...