Dynamic, heterogenous and distributively owned resource environments present unique challenges to the problems of resource representation, allocation and management. Conventional ...
Scheduling applications on wide-area distributed systems is useful for obtaining quick and reliable results in an efficient manner. Optimized scheduling algorithms are fundamental...
Diana Moise, Eliza Moise, Florin Pop, Valentin Cri...
Applications designed to execute on "computational grids" frequently require the simultaneous co-allocation of multiple resources in order to meet performance requiremen...
This paper discusses the process of building an environment where large-scale, complex, scientific analysis can be scheduled onto a heterogeneous collection of computational and s...
Ewa Deelman, Scott Callaghan, Edward Field, Hunter...
Shrinkage-based exponential language models, such as the recently introduced Model M, have provided significant gains over a range of tasks [1]. Training such models requires a l...
Abhinav Sethy, Stanley F. Chen, Bhuvana Ramabhadra...