research
∙
04/23/2023
Hierarchical Weight Averaging for Deep Neural Networks
Despite the simplicity, stochastic gradient descent (SGD)-like algorithm...
share
research
∙
06/06/2022
A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding
Spiking neural networks (SNNs) recently gained momentum due to their low...
research
∙
11/19/2021
E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs
Compiler frameworks are crucial for the widespread use of FPGA-based dee...
research
∙
05/14/2021
Efficient Spiking Neural Networks with Radix Encoding
Spiking neural networks (SNNs) have advantages in latency and energy eff...
research
∙
04/06/2020
Resource Efficient Isolation Mechanisms in Mixed-Criticality Scheduling
Mixed-criticality real-time scheduling has been developed to improve res...
research
∙
03/11/2020
Efficient Schedulability Test for Dynamic-Priority Scheduling of Mixed-Criticality Real-Time Systems
Systems in many safety-critical application domains are subject to certi...
research
∙
03/11/2020
Dynamic Budget Management with Service Guarantees for Mixed-Criticality Systems
Many existing studies on mixed-criticality (MC) scheduling assume that l...
research
∙
09/11/2019