Arnold: An eFPGA-augmented RISC-V SoC for flexible and low-power IoT end nodes
A wide range of Internet of Things (IoT) applications require powerful, energy-efficient, and
flexible end nodes to acquire data from multiple sources, process and distill the sensed data …
flexible end nodes to acquire data from multiple sources, process and distill the sensed data …
Scalehd: Robust brain-inspired hyperdimensional computing via adapative scaling
Brain-inspired hyperdimensional computing (HDC) has demonstrated promising capability
in various cognition tasks such as robotics, bio-medical signal analysis, and natural …
in various cognition tasks such as robotics, bio-medical signal analysis, and natural …
Energy-efficient brain-inspired hyperdimensional computing using voltage scaling
Recently, brain-inspired hyperdimensional computing (HDC) has demonstrated promising
capability in a wide range of applications such as medical diagnosis, human activity …
capability in a wide range of applications such as medical diagnosis, human activity …
The memory challenge in ultra-low power deep learning
One of the key goals for the next decade is to push machine learning into sensors at the
edge, for always-on operation within a sub-mW power budget. However, to achieve this …
edge, for always-on operation within a sub-mW power budget. However, to achieve this …
Error Resilient Hyperdimensional Computing Using Hypervector Encoding and Cross-Clustering
Emerging brain-inspired hyperdimensional computing (HDC) algorithms are vulnerable to
timing and soft errors in associative memory used to store high-dimensional data …
timing and soft errors in associative memory used to store high-dimensional data …
PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors
Graph neural networks (GNNs) have recently emerged as a promising learning paradigm in
learning graph-structured data and have demonstrated wide success across various …
learning graph-structured data and have demonstrated wide success across various …
[PDF][PDF] System-on-chip Architectures for Event-Driven Computing
A Di Mauro - 2022 - research-collection.ethz.ch
The number of electronic devices deployed around us has followed a steadily increasing
trend over the last decade. As the transistor miniaturization and integration processes …
trend over the last decade. As the transistor miniaturization and integration processes …
[PDF][PDF] Energy-and Cost-Efficient VLSI DSP Systems Design with Approximate Computing
R Ghanaatian Jahromi - 2020 - infoscience.epfl.ch
Although aggressive CMOS technology scaling into the nanometer regime has allowed the
realization of complex high performance systems, unfortunately it has also led to process …
realization of complex high performance systems, unfortunately it has also led to process …