155 citations · 936 across the 86 of their papers we have counts for
10 papers · 1 filter
Communication Characterization of AI Workloads for Large-scale Multi-chiplet Accelerators
Mariam Musavi, Emmanuel Irabor, Abhijit Das +2
Next-generation artificial intelligence (AI) workloads are posing challenges of scalability and robustness in terms of execution time due to their intrinsic evolving data-intensive…
Time Reversal for Near-Field Communications on Multi-chip Wireless Networks
Fátima Rodríguez-Galán, Ama Bandara, Elana Pereira de Santana +3
Wireless Network-on-Chip (WNoC) has been proposed as a low-latency, versatile, and broadcast-capable complement to current interconnects in the quest for satisfying the ever-increa…
Collective Communication Patterns Using Time-Reversal Terahertz Links at the Chip Scale
Fátima Rodríguez-Galán, Ama Bandara, Elana Pereira de Santana +3
Wireless communications in the terahertz band have been recently proposed as complement to conventional wired interconnects within computing packages. Such environments are typical…
Exploration of Time Reversal for Wireless Communications within Computing Packages
Ama Bandara, Fátima Rodríguez-Galán, Elana Pereira de Santana +3
Wireless Network-on-Chip (WNoC) is a promising paradigm to overcome the versatility and scalability issues of conventional on-chip networks for current processor chips. However, th…
Towards Spatial Multiplexing in Wireless Networks within Computing Packages
Fátima Rodríguez-Galán, Elana Pereira de Santana, Peter Haring Bolívar +2
Wireless Networks-on-Chip (WNoCs) are regarded as a disruptive alternative to conventional interconnection networks at the chip scale, yet limited by the relatively low aggregate b…
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference
Nazareno Bruschi, Giuseppe Tagliavini, Francesco Conti +7
Analog In-Memory Computing (AIMC) is emerging as a disruptive paradigm for heterogeneous computing, potentially delivering orders of magnitude better peak performance and efficienc…
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing
Robert Guirado, Abbas Rahimi, Geethan Karunaratne +3
Hyperdimensional computing (HDC) is an emerging computing paradigm that represents, manipulates, and communicates data using very long random vectors (aka hypervectors). Among diff…
Characterizing the Communication Requirements of GNN Accelerators: A Model-Based Approach
Robert Guirado, Akshay Jain, Sergi Abadal +1
Relational data present in real world graph representations demands for tools capable to study it accurately. In this regard Graph Neural Network (GNN) is a powerful tool, wherein…
Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package
Robert Guirado, Hyoukjun Kwon, Sergi Abadal +2
Deep neural network (DNN) models continue to grow in size and complexity, demanding higher computational power to enable real-time inference. To efficiently deliver such computatio…
Understanding the Impact of On-chip Communication on DNN Accelerator Performance
Robert Guirado, Hyoukjun Kwon, Eduard Alarcón +2
Deep Neural Networks have flourished at an unprecedented pace in recent years. They have achieved outstanding accuracy in fields such as computer vision, natural language processin…