Compositional performance analysis iteratively alternates local scheduling analysis techniques and output event model propagation between system components to enable performance a...
Data de-duplication has become a commodity component in dataintensive systems and it is required that these systems provide high reliability comparable to others. Unfortunately, b...
Chuanyi Liu, Yu Gu, Linchun Sun, Bin Yan, Dongshen...
We focus on an important problem in the space of ubiquitous computing, namely, programming support for the distributed heterogeneous computing elements that make up this environme...
Dynamically reconfigurable embedded systems offer potential for higher performance as well as adaptability to changing system requirements at low cost. Such systems employ run-tim...
Parallel I/O plays a crucial role for most data-intensive applications running on massively parallel systems like Blue Gene/L that provides the promise of delivering enormous comp...
Hao Yu, Ramendra K. Sahoo, C. Howson, G. Almasi, J...