Parallel programming is the art of writing software that can run on multiple processors or machines simultaneously, to achieve faster performance, better scalability, or higher reliability.

Hybrid memory is a parallel programming paradigm that combines both shared and distributed memory. It can leverage the benefits of both paradigms and overcome some of their limitations.

The increase demand for processing power has grown over the years, this demand lend to the parallel approach which means linking a bunch of computers together to jointly increase both the speed and ...

This paradigm shift has been called "the end of the lazy programmer era." This course is aimed at helping soon-to-graduate students (1) move into jobs using current tools for parallel programming, and ...

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 ...

Such parallel programming models can be classified according to abstractions that reflect the hardware, such as shared memory, distributed memory with message passing, notions of place visible in the ...

I have a couple observations that I would to spark a discussion on programming methodology.It seems that a lot of programs we discuss are written by following an "imperative programming" paradigm ...

Scalability, simpler debugging, and easier coding are essential to developing a successful parallel-programming approach. Parallel programming is hard. But debugging it is even harder ...

This paradigm shift has been called "the end of the lazy programmer era." This course is aimed at helping soon-to-graduate students (1) move into jobs using current tools for parallel programming, and ...