A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference 06/09/2024 por Fatima
Tailoring Graph Neural Network-based Flow-guided Localization to Individual Bloodstreams and Activities 06/09/202430/07/2024 por Fatima
Circuit Partitioning for Multi-Core Quantum Architectures with Deep Reinforcement Learning 01/08/202430/05/2024 por Fatima
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing 01/08/202430/07/2022 por Fatima
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference 01/08/202430/06/2022 por Fatima
Understanding the Design Space of Sparse/Dense Multiphase Dataflows for Mapping Graph Neural Networks on Spatial Accelerators 01/08/202430/04/2022 por Fatima
Characterizing the Communication Requirements of GNN Accelerators: A Model-Based Approach 01/08/202430/05/2021 por Fatima
One Protocol to Rule Them All: Wireless Network-on-Chip using Deep Reinforcement Learning 01/08/202430/04/2021 por Fatima
Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package 01/08/202430/01/2021 por Fatima
Understanding the Impact of On-Chip Communication on DNN Accelerator Performance 01/08/202430/11/2019 por Fatima