10 citations · 10 across the 4 of their papers we have counts for
4 papers
CAFEEN: A Cooperative Approach for Energy Efficient NoCs with Multi-Agent Reinforcement Learning
Kamil Khan, Sudeep Pasricha
In emerging high-performance Network-on-Chip (NoC) architectures, efficient power management is crucial to minimize energy consumption. We propose a novel framework called CAFEEN t…
A Reinforcement Learning Framework with Region-Awareness and Shared Path Experience for Efficient Routing in Networks-on-Chip
Kamil Khan, Sudeep Pasricha
Network-on-chip (NoC) architectures provide a scalable, high-performance, and reliable interconnect for emerging manycore systems. The routing policies used in NoCs have a signific…
RACE: A Reinforcement Learning Framework for Improved Adaptive Control of NoC Channel Buffers
Kamil Khan, Sudeep Pasricha, Ryan Gary Kim
Network-on-chip (NoC) architectures rely on buffers to store flits to cope with contention for router resources during packet switching. Recently, reversible multi-function channel…
A Survey of Resource Management for Processing-in-Memory and Near-Memory Processing Architectures
Kamil Khan, Sudeep Pasricha, Ryan Gary Kim
Due to amount of data involved in emerging deep learning and big data applications, operations related to data movement have quickly become the bottleneck. Data-centric computing (…