Machine scheduling is a critical problem in industries where products are custom-designed. The wide range of products, the lack of previous experiences in manufacturing, and the s...
Juan Carlos Vidal, Manuel Mucientes, Alberto Bugar...
Abstract Computational Grids consist of a multitude of geographically distributed resources. The co-allocation of several of those resources allows for the execution of highly comp...
Bruno Volckaert, Pieter Thysebaert, Marc De Leenhe...
Heterogeneous clusters and grid infrastructures are becoming increasingly popular. In these computing infrastructures, machines have different resources, including memory sizes, d...
This paper presents a design and analysis of scheduling techniques to cope with the inherent unreliability and instability of worker nodes in large-scale donation-based distribute...
Jason D. Sonnek, Mukesh Nathan, Abhishek Chandra, ...
Mixture-of-Experts (MoE) systems solve intricate problems by combining results generated independently by multiple computational models (the “experts”). Given an instance of a...