3 citations · 6 across the 6 of their papers we have counts for
6 papers
Scheduling and Trade-off Analysis for Multi-Source Multi-Processor Systems with Divisible Loads
Yang Cao, Fei Wu, Thomas Robertazzi
The main goal of parallel processing is to provide users with performance that is much better than that of single processor systems. The execution of jobs is scheduled, which requi…
Integrating Amdahl-like Laws and Divisible Load Theory
Yang Cao, Fei Wu, Thomas Robertazzi
Integrating Amdahl's and Amdahl-like laws with Divisible Load Theory promises mathematical design methodology that will make possible the efficient design of tomorrow's systems.
Reinforcement Learning for Optimal Load Distribution Sequencing in Resource-Sharing System
Fei Wu, Yang Cao, Thomas Robertazzi
Divisible Load Theory (DLT) is a powerful tool for modeling divisible load problems in data-intensive systems. This paper studied an optimal divisible load distribution sequencing…
Optimal Divisible Load Scheduling for Resource-Sharing Network
Fei Wu, Yang Cao, Thomas Robertazzi
Scheduling is an important task allowing parallel systems to perform efficiently and reliably. For modern computation systems, divisible load is a special type of data which can be…
Coflow Scheduling in Data Centers: Routing and Bandwidth Allocation
Li Shi, Junwei Zhang, Yang Liu +1
In distributed computing frameworks like MapReduce, Spark, and Dyrad, a coflow is a set of flows transferring data between two stages of a job. The job cannot start its next stage…
Layer Based Partition for Matrix Multiplication on Heterogeneous Processor Platforms
Yang Liu, Li Shi, Junwei Zhang +1
While many approaches have been proposed to analyze the problem of matrix multiplication parallel computing, few of them address the problem on heterogeneous processor platforms. I…