A survey of coarse-grained reconfigurable architecture and design: Taxonomy, challenges, and applications

L Liu, J Zhu, Z Li, Y Lu, Y Deng, J Han, S Yin… - ACM Computing …, 2019 - dl.acm.org
As general-purpose processors have hit the power wall and chip fabrication cost escalates
alarmingly, coarse-grained reconfigurable architectures (CGRAs) are attracting increasing …

[HTML][HTML] Progress in neuromorphic photonics

T Ferreira De Lima, BJ Shastri, AN Tait… - …, 2017 - degruyter.com
As society's appetite for information continues to grow, so does our need to process this
information with increasing speed and versatility. Many believe that the one-size-fits-all …

Chasing carbon: The elusive environmental footprint of computing

U Gupta, YG Kim, S Lee, J Tse, HHS Lee… - … Symposium on High …, 2021 - ieeexplore.ieee.org
Given recent algorithm, software, and hardware innovation, computing has enabled a
plethora of new applications. As computing becomes increasingly ubiquitous, however, so …

The end of moore's law: A new beginning for information technology

TN Theis, HSP Wong - Computing in science & engineering, 2017 - ieeexplore.ieee.org
The insights contained in Gordon Moore's now famous 1965 and 1975 papers have broadly
guided the development of semiconductor electronics for over 50 years. However, the field …

Photonic multiply-accumulate operations for neural networks

MA Nahmias, TF De Lima, AN Tait… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
It has long been known that photonic communication can alleviate the data movement
bottlenecks that plague conventional microelectronic processors. More recently, there has …

Probabilistic neural computing with stochastic devices

S Misra, LC Bland, SG Cardwell… - Advanced …, 2023 - Wiley Online Library
The brain has effectively proven a powerful inspiration for the development of computing
architectures in which processing is tightly integrated with memory, communication is event …

Aladdin: A pre-rtl, power-performance accelerator simulator enabling large design space exploration of customized architectures

YS Shao, B Reagen, GY Wei, D Brooks - ACM SIGARCH Computer …, 2014 - dl.acm.org
Hardware specialization, in the form of accelerators that provide custom datapath and
control for specific algorithms and applications, promises impressive performance and …

Architecture exploration for ambient energy harvesting nonvolatile processors

K Ma, Y Zheng, S Li, K Swaminathan… - 2015 IEEE 21st …, 2015 - ieeexplore.ieee.org
Energy harvesting has been widely investigated as a promising method of providing power
for ultra-low-power applications. Such energy sources include solar energy, radio-frequency …

DeepMaker: A multi-objective optimization framework for deep neural networks in embedded systems

M Loni, S Sinaei, A Zoljodi, M Daneshtalab… - Microprocessors and …, 2020 - Elsevier
Abstract Deep Neural Networks (DNNs) are compute-intensive learning models with
growing applicability in a wide range of domains. Due to their computational complexity …

Near-memory computing: Past, present, and future

G Singh, L Chelini, S Corda, AJ Awan, S Stuijk… - Microprocessors and …, 2019 - Elsevier
The conventional approach of moving data to the CPU for computation has become a
significant performance bottleneck for emerging scale-out data-intensive applications due to …