Special Session: In-Field ML-Assisted Intermittent Fault Localization and Management in RISC-V SoCs
A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks
Techniques for Reliability in Edge-AI Chips
Heterogeneous Approximation of DNN HW Accelerators based on Channels Vulnerability
FORTUNE: A Negative Memory Overhead Hardware-Agnostic Fault TOleRance TechniqUe in DNNs
Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN Accelerators
The CMS Fast Beam Condition Monitor for HL-LHC
An optimized design of delay-and energy-efficient Booth multiplier
AdAM: Adaptive Fault-Tolerant Approximate Multiplier for Edge DNN Accelerators
Techniques for Building Reliable and Energy-efficient Hardware Accelerators For Dynamic Deep Neural Networks
Special Session: Reliability Assessment Recipes for DNN Accelerators
Reliability-Critical Computation Offloading in UAV Swarms
Cost-Effective Fault Tolerance for CNNs Using Parameter Vulnerability Based Hardening and Pruning
SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN Accelerators