Abstract: A main objective of scheduling independent jobs composed of multiple sequential tasks in shared-memory and distributed-memory multiprocessor computer systems ... parallel execution, ...

Parallel architecture can be classified into two main categories: shared-memory and distributed ... is a concept that uses distributed architecture to process data locally, reducing latency ...

A shared-memory architecture is a system where all the processors ... and natural language processing. The future trends of parallel and distributed computing are likely to involve more diverse ...

In these architectures, data is distributed across several ... in logical architectures is parallel in-memory computation. Notice that in the alternative B, the data virtualization system still needs ...

In this project, we have implemented a distributed parallel algorithm for Breadth-First Search (BFS), a key subroutine in several graph algorithms. The general structure of the level-synchronous ...

All the proposed spatial query processing and optimization techniques are prototyped inside Spark, a distributed memory-based computation system. Our prototype system ... in-memory and distributed ...

"Any compositional system can be described using category theory, and the relationship between compositional systems ... parallel real-world processes can be represented by parallel processing in ...