Farouk Salem
Lecturer Assistant, Computer Science Department, Faculty of Computers and Artificial Intelligence
5 Dr. Ahmed Zewail Street, Faculty of Computers and Information, Postal Code: 12613, Orman, Giza, Egypt (email)
Data-flow scheduling for a scalable FLESnet
- Citation:
- Salem, F., F. Schintke, T. Schütt, and A. Reinefeld, Data-flow scheduling for a scalable FLESnet, , Darmstadt, Zuse Insitute Berlin, pp. 130-131, 04/2018.
Report Date:
04/2018Abstract:
FLES is the first-level event selector of the CBM project. For the timeslice building, the FLESnet software uses
tightly coupled processes. Unfortunately, slow processes and network congestion cause a serious performance bottleneck, especially in large systems. We, therefore, developed a scheduling mechanism to minimize the synchronization overhead and enhance the scalability. We highlight the main components of our new scheduling mechanism and we show how it enhances the performance of FLESnet on large deployments.