Startup comparison for message passing libraries with DTM on linux clusters

In clusters containing heterogeneous systems, message passing libraries (distributed computing tools) are employed for harnessing the computing and other resources. Task is submitted to a tool and the actual execution is carried out on aggregated network resources. Tools take care of scheduling, distributing subtasks and gathering results along with synchronization and message exchange requirements. They need initialization and synchronization routines for the submitted task. These tools also provide many other features like transparency, fault tolerance and load balancing. Some times all these features or initialization may not be required. The aim of tool designers should be to provide quality performance with add-on request initialization and feature provision. Initialization routines and special features provision take their own time over core distributed computing, affecting overall computational cost. In this paper a two purpose tool (Distributed Task Measure: DTM) is implemented. DTM is primarily used for placing other distributed computing tools on a performance index, judging their startup and performance. DTM may also serve to achieve macro level parallelization where requirements are such.