Accelerator-friendly neural-network training: Learning variations and defects in RRAM crossbar
L Chen, J Li, Y Chen, Q Deng, J Shen… - … , Automation & Test …, 2017 - ieeexplore.ieee.org
RRAM crossbar consisting of memristor devices can naturally carry out the matrix-vector
multiplication; it thereby has gained a great momentum as a highly energy-efficient …
multiplication; it thereby has gained a great momentum as a highly energy-efficient …
FinFET versus gate-all-around nanowire FET: Performance, scaling, and variability
Performance, scalability, and resilience to variability of Si SOI FinFETs and gate-all-around
(GAA) nanowires (NWs) are studied using in-house-built 3-D simulation tools. Two …
(GAA) nanowires (NWs) are studied using in-house-built 3-D simulation tools. Two …
Memristive boltzmann machine: A hardware accelerator for combinatorial optimization and deep learning
MN Bojnordi, E Ipek - 2016 IEEE International Symposium on …, 2016 - ieeexplore.ieee.org
The Boltzmann machine is a massively parallel computational model capable of solving a
broad class of combinatorial optimization problems. In recent years, it has been successfully …
broad class of combinatorial optimization problems. In recent years, it has been successfully …
Process technology variation
Moore's law technology scaling has improved performance by five orders of magnitude in
the last four decades. As advanced technologies continue the pursuit of Moore's law, a …
the last four decades. As advanced technologies continue the pursuit of Moore's law, a …
A 32 kb 10T sub-threshold SRAM array with bit-interleaving and differential read scheme in 90 nm CMOS
Ultra-low voltage operation of memory cells has become a topic of much interest due to its
applications in very low energy computing and communications. However, due to parameter …
applications in very low energy computing and communications. However, due to parameter …
Advances in the atomic force microscopy for critical dimension metrology
Downscaling, miniaturization and 3D staking of the micro/nano devices are burgeoning
phenomena in the semiconductor industry which have posed sophisticated challenges in …
phenomena in the semiconductor industry which have posed sophisticated challenges in …
Accelerating neural network inference on FPGA-based platforms—A survey
R Wu, X Guo, J Du, J Li - Electronics, 2021 - mdpi.com
The breakthrough of deep learning has started a technological revolution in various areas
such as object identification, image/video recognition and semantic segmentation. Neural …
such as object identification, image/video recognition and semantic segmentation. Neural …
Simulation of intrinsic parameter fluctuations in decananometer and nanometer-scale MOSFETs
Intrinsic parameter fluctuations introduced by discreteness of charge and matter will play an
increasingly important role when semiconductor devices are scaled to decananometer and …
increasingly important role when semiconductor devices are scaled to decananometer and …
High-performance CMOS variability in the 65-nm regime and beyond
K Bernstein, DJ Frank, AE Gattiker… - IBM journal of …, 2006 - ieeexplore.ieee.org
Recent changes in CMOS device structures and materials motivated by impending atomistic
and quantum-mechanical limitations have profoundly influenced the nature of delay and …
and quantum-mechanical limitations have profoundly influenced the nature of delay and …