December 2018, Volume 9, Issue 4

Energy-Quality Scalable Integrated Circuits and Systems: Continuing Energy Scaling in the Twilight of Moore’s Law
Massimo Alioto; Vivek De; Andrea Marongiu

Energy-Aware Adaptive Rate and Resolution Sampling of Spectrally Sparse Signals Leveraging VCMA-MTJ Devices
Soheil Salehi; Mahdi Boloursaz Mashhadi; Alireza Zaeemzadeh; Nazanin Rahnavard; Ronald F. DeMara

Energy-Efficient Classification for Resource-Constrained Biomedical Applications
Mahsa Shoaran; Benyamin Allahgholizadeh Haghi; Milad Taghavi; Masoud Farivar; Azita Emami-Neyestanak

Controllable QoS for Imprecise Computation Tasks on DVFS Multicores With Time and Energy Constraints
Lei Mo; Angeliki Kritikakou; Olivier Sentieys

Energy-Efficient Iterative Refinement Using Dynamic Precision
JunKyu Lee; Hans Vandierendonck; Mahwish Arif; Gregory D. Peterson; Dimitrios S. Nikolopoulos

Coherent Design of Hybrid Approximate Adders: Unified Design Framework and Metrics
Ardalan Najafi; Moritz Weißbrich; Guillermo Payá-Vayá; Alberto Garcia-Ortiz

Design of Approximate Circuits by Fabrication of False Timing Paths: The Carry Cut-Back Adder
Vincent Camus; Mattia Cacciotti; Jeremy Schlachter; Christian Enz

A Hybrid Approximate Computing Approach for Associative In-Memory Processors
Hasan Erdem Yantır; Ahmed M. Eltawil; Fadi J. Kurdahi

Mosaic-CNN: A Combined Two-Step Zero Prediction Approach to Trade off Accuracy and Computation Energy in Convolutional Neural Networks
Cheolhwan Kim; Dongyeob Shin; Bohun Kim; Jongsun Park

Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor
Amar Shrestha; Khadeer Ahmed; Yanzhi Wang; David P. Widemann; Adam T. Moody; Brian C. Van Essen; Qinru Qiu

Energy Efficient Neural Computing: A Study of Cross-Layer Approximations
Syed Shakib Sarwar; Gopalakrishnan Srinivasan; Bing Han; Parami Wijesinghe; Akhilesh Jaiswal; Priyadarshini Panda; Anand Raghunathan; Kaushik Roy

Joint Design of Training and Hardware Towards Efficient and Accuracy-Scalable Neural Network Inference
Xin He; Wenyan Lu; Guihai Yan; Xuan Zhang

Incremental-Precision Based Feature Computation and Multi-Level Classification for Low-Energy Internet-of-Things
Sandhya Koteshwara; Keshab K. Parhi

Exploring Energy and Accuracy Tradeoff in Structure Simplification of Trained Deep Neural Networks
Boyu Zhang; Azadeh Davoodi; Yu Hen Hu

Integer Convolutional Neural Network for Seizure Detection
Nhan Duy Truong; Anh Duy Nguyen; Levin Kuhlmann; Mohammad Reza Bonyadi; Jiawei Yang; Samuel Ippolito; Omid Kavehei

Dynamic Sensor-Frontend Tuning for Resource Efficient Embedded Classification
Laura Galindez; Komail Badami; Jonas Vlasselaer; Wannes Meert; Marian Verhelst

Low-Power Scalable 3-D Face Frontalization Processor for CNN-Based Face Recognition in Mobile Devices
Sanghoon Kang; Jinmook Lee; Kyeongryeol Bong; Changhyeon Kim; Youchang Kim; Hoi-Jun Yoo

Optimized Hierarchical Cascaded Processing
Koen Goetschalckx; Bert Moons; Steven Lauwereins; Martin Andraud; Marian Verhelst

Administering Quality-Energy Trade-Off in IoT Sensing Applications by Means of Adapted Compressed Sensing
Mauro Mangia; Alex Marchioni; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti