Auto-tuning Static Schedules for Task Data-flow Applications
Andreas Diavastos, Pedro Trancoso · 2017
Scheduling task-based parallel applications on many-core processors is becoming more challenging and has received lots of attention recently. The main challenge is to efficiently map the tasks to the underlying hardware topology using application characteristics such as the dependences between tasks, in order to satisfy the requirements. To achieve this, each application must be studied exhaustively as to define the usage of the data by the different tasks, that would provide the knowledge for mapping tasks that share the same data close to each other. In addition, different hardware topologies will require different mappings for the same application to produce the best performance.