Pyntacle: a parallel computing-enabled framework for large-scale network biology analysis

Java Communications for Large-Scale Parallel Computing

A Large-Scale Metacomputer Approach for Distributed Parallel Computing

In this paper, a new architecture for metacomputing is proposed , designed to integrate heterogeneous resources of the Internet. The goals of this metacomputer are the orchestration of very large amounts of workstations and the integration of supercomputers into a pool of resources for distributed parallel computing. Based on a tree shaped logical interconnection topology, the system provides n...

KOSHIK- A Large-scale Distributed Computing Framework for NLP

In this paper, we describe KOSHIK, an end-to-end framework to process the unstructured natural language content of multilingual documents. We used the Hadoop distributed computing infrastructure to build this framework as it enables KOSHIK to easily scale by adding inexpensive commodity hardware. We designed an annotation model that allows the processing algorithms to incrementally add layers o...

A Grid Computing Framework for Large Scale Molecular Dynamics Simulations

Molecular Dynamics(MD) is computational study through simulating in detail the interatomic interactions in protein. Currently, there is no better simulating algorithm due to the demand on accuracy. However, a ensemble/distributed dynamics method is developed to run the simulation in parallel on many distributed computers on the internet. The objective of this research is to design and code a re...

GrenchMark: A Framework for Testing Large-Scale Distributed Computing Systems

Today’s large-scale distributed computing systems (LSDCSs) integrate (tens of) thousands of resources. Infrastructures such as the WLCG, the NorduGrid, the TeraGrid, the Open Science Grid etc., offer similar or better throughput when compared with large-scale parallel production environments [1], [2]. However, two problems threaten to cancel out the benefits of this integration. First, the inte...