Abstract
Multicore processors have the potential to deliver scalable performance by distributing computation across multiple cores. However, the communication cost of parallel application thread execution may significantly limit the performance achievable due to latency and contention on shared resources in the on-chip network of multicores experienced by packets from critical threads. We present PAIS, Parallelism-Aware Interconnect Scheduling, that bolsters performance and energy efficiency of parallel applications. PAIS dynamically detects thread execution progress based on communication latency and scheduling, and it accelerates communication for slowly executing threads by prioritizing packets from those threads with flow control and priority-based arbitration.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
