1 / 3

System Architecture for On-Chip Networks

System Architecture for On-Chip Networks. Jose Duato, Partha Kandu, Manolis Katevenis, Chita Das, Sudhakar Yalamanchili, John Lockwood, Ani Vaidya. Summary. Societal Impact Lower NRE costs (integration and verification): lower barrier to entry

oleg
Télécharger la présentation

System Architecture for On-Chip Networks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. System Architecture for On-Chip Networks Jose Duato, Partha Kandu, Manolis Katevenis, Chita Das, Sudhakar Yalamanchili, John Lockwood, Ani Vaidya

  2. Summary Societal Impact • Lower NRE costs (integration and verification): lower barrier to entry • Enable new powerful edge-devices with applications to health care, communication, personalized services • OCIN can help cost effectiveness of the business enterprise and integration in Grid environments • Simplify configuration management of partitionable systems • Application requirements : Performance, Partitioning, QoS • Support for virtualization • Support for heterogeneity • Technology constraints : Power consumption, Temperature, Area, Fault tolerance • Self configuring systems (self healing, self adaptive) • Complexity/Productivity • Profiling, monitoring, debugging support • Software driven adaptation : active topology, routing and load balancing

  3. Sample Research Agenda • Congestion control with bounded or limited buffering • Efficient buffering and flow control • Network interface • Light weight, generic: low latency, tightly coupled, general programming, flexible and general purpose • Virtualized network interface • Adaptive flow control/ switching for multi-modal traffic and time varying application requirements                        • Automatic reconfiguration in the middle of failure • Self tuning links and switches to process variation, soft errors • Network reconfiguration to adapt to application requirements • Support for out of order delivery • Technology-aware topologies : higher dimensions • Support for partitioning and virtualization: isolation, performance across domains, accelerators, traffic heterogeneity • Support for monitoring, debugging

More Related