79 citations · 168 across the 9 of their papers we have counts for
10 papers
RISA: Round-Robin Intra-Rack Friendly Scheduling Algorithm for Disaggregated Datacenters
Rashadul Kabir, Ryan G. Kim, Mahdi Nikdast
Recent trends see a move away from a fixed-resource server-centric datacenter model to a more adaptable "disaggregated" datacenter model. These disaggregated datacenters can then d…
MOELA: A Multi-Objective Evolutionary/Learning Design Space Exploration Framework for 3D Heterogeneous Manycore Platforms
Sirui Qi, Yingheng Li, Sudeep Pasricha +1
To enable emerging applications such as deep machine learning and graph processing, 3D network-on-chip (NoC) enabled heterogeneous manycore platforms that can integrate many proces…
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…
AdEle: An Adaptive Congestion-and-Energy-Aware Elevator Selection for Partially Connected 3D NoCs
Ebadollah Taheri, Ryan G. Kim, Mahdi Nikdast
By lowering the number of vertical connections in fully connected 3D networks-on-chip (NoCs), partially connected 3D NoCs (PC-3DNoCs) help alleviate reliability and fabrication iss…
HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration
Aqeeb Iqbal Arka, Biresh Kumar Joardar, Ryan Gary Kim +3
Heterogeneous manycore architectures are the key to efficiently execute compute- and data-intensive applications. Through silicon via (TSV)-based 3D manycore system is a promising…
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 (…