About Exploring the implementation of distributed and parallel sorting algorithms using the Message Passing Interface (MPI) into their parallel counterparts, thereby harnessing the computational power ...

Learn how to design efficient and scalable parallel and distributed algorithms for computer graphics problems, based on problem decomposition, data structures, communication, load balancing, and ...

This paper proposes parallel and distributed algorithms for solving very large-scale sparse optimization problems on computer clusters and clouds. Modern datasets usually have a large number of ...

In the big data era, machine learning optimization algorithms usually need to be designed and implemented on widely-used distributed computing platforms, such as Apache Hadoop, Spark, and Flink.