12 citations · 13 across the 8 of their papers we have counts for
8 papers
On the Benefits of Leveraging Structural Information in Planning Over the Learned Model
Jiajun Shen, Kananart Kuwaranancharoen, Raid Ayoub +2
Model-based Reinforcement Learning (RL) integrates learning and planning and has received increasing attention in recent years. However, learning the model can incur a significant…
Machine Learning-based Low Overhead Congestion Control Algorithm for Industrial NoCs
Shruti Yadav Narayana, Sumit K. Mandal, Raid Ayoub +2
Network-on-Chip (NoC) congestion builds up during heavy traffic load and cripples the system performance by stalling the cores. Moreover, congestion leads to wasted link bandwidth…
Theoretical Analysis and Evaluation of NoCs with Weighted Round-Robin Arbitration
Sumit K. Mandal, Jie Tong, Raid Ayoub +3
Fast and accurate performance analysis techniques are essential in early design space exploration and pre-silicon evaluations, including software eco-system development. In particu…
Online Adaptive Learning for Runtime Resource Management of Heterogeneous SoCs
Sumit K. Mandal, Umit Y. Ogras, Janardhan Rao Doppa +3
Dynamic resource management has become one of the major areas of research in modern computer and communication system design due to lower power consumption and higher performance d…
Performance Analysis of Priority-Aware NoCs with Deflection Routing under Traffic Congestion
Sumit K. Mandal, Anish Krishnakumar, Raid Ayoub +2
Priority-aware networks-on-chip (NoCs) are used in industry to achieve predictable latency under different workload conditions. These NoCs incorporate deflection routing to minimiz…
Analytical Performance Modeling of NoCs under Priority Arbitration and Bursty Traffic
Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky +2
Networks-on-Chip (NoCs) used in commercial many-core processors typically incorporate priority arbitration. Moreover, they experience bursty traffic due to application workloads. H…