DNN Model Compression for IoT Domain-Specific Hardware Accelerators
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3111723
Abstract: Machine learning techniques, particularly those based on neural networks, are always more often used at the edge of the network by Internet of Things (IoT) nodes. Unfortunately, the computation capabilities demanded by those applications, together… read more here.
Keywords: hardware; energy; domain specific; specific hardware ... See more keywords
A Framework for Crossing Temperature-Induced Timing Errors Underlying Hardware Accelerators to the Algorithm and Application Layers
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2021.3050978
Abstract: Temperature rising is an unavoidable effect on VLSI and has always been a critical issue in any system-on-chip – especially when targeting compute-intensive applications. This effect increases the delay in hardware accelerators, resulting in timing… read more here.
Keywords: hardware; temperature; accelerator; induced timing ... See more keywords
Hybrid Quick Error Detection: Validation and Debug of SoCs Through High-Level Synthesis
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2018.2837103
Abstract: Validation and debug challenges of system-on-chips (SoCs) are getting increasingly difficult. As we reach the limits of Dennard scaling, efforts to improve system performance and energy efficiency have resulted in the integration of a wide… read more here.
Keywords: validation debug; error detection; validation; hardware accelerators ... See more keywords
A Fast, Accurate, and Comprehensive PPA Estimation of Convolutional Hardware Accelerators
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3204932
Abstract: Convolutional Neural Networks (CNN) are widely adopted for Machine Learning (ML) tasks, such as classification and computer vision. GPUs became the reference platforms for both training and inference phases of CNNs due to their tailored… read more here.
Keywords: accurate comprehensive; hardware; fast accurate; comprehensive ppa ... See more keywords