Ever more scientists are employing large-scale distributed systems such as grids for their computational work, instead of tightly coupled high-performance computing systems. Howev...
Alexandru Iosup, Omer Ozan Sonmez, Shanny Anoep, D...
This paper addresses issues of task clustering-the coalition of several fine grain tasks into single coarser grain tasks called task clusters+md task cluster scheduling on distrib...
Many parallel scientific applications need high-performance I/O. Unfortunately, end-to-end parallel-I/O performance has not been able to keep up with substantial improvements in p...
As we continue to evolve into large-scale parallel systems, many of them employing hundreds of computing engines to take on mission-critical roles, it is crucial to design those s...
Yanyong Zhang, Mark S. Squillante, Anand Sivasubra...
Before an application modelled as a Directed Acyclic Graph (DAG) is executed on a heterogeneous system, a DAG mapping policy is often enacted. After mapping, the tasks (in the DAG...
Ligang He, Stephen A. Jarvis, Daniel P. Spooner, D...