Dadiannao: A machine-learning supercomputer

Y Chen, T Luo, S Liu, S Zhang, L He… - 2014 47th Annual …, 2014 - ieeexplore.ieee.org
Many companies are deploying services, either for consumers or industry, which are largely
based on machine-learning algorithms for sophisticated processing of large amounts of …

DaDianNao: A neural network supercomputer

T Luo, S Liu, L Li, Y Wang, S Zhang… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Many companies are deploying services largely based on machine-learning algorithms for
sophisticated processing of large amounts of data, either for consumers or industry. The …

DianNao family: energy-efficient hardware accelerators for machine learning

Y Chen, T Chen, Z Xu, N Sun, O Temam - Communications of the ACM, 2016 - dl.acm.org
Machine Learning (ML) tasks are becoming pervasive in a broad range of applications, and
in a broad range of systems (from embedded systems to data centers). As computer …

Adrenaline: Pinpointing and reining in tail queries with quick voltage boosting

CH Hsu, Y Zhang, MA Laurenzano… - 2015 IEEE 21st …, 2015 - ieeexplore.ieee.org
Reducing the long tail of the query latency distribution in modern warehouse scale
computers is critical for improving performance and quality of service of workloads such as …

Early detection of electrical defects in deep trench capacitors using voltage contrast inspection

B Donovan, OD Patterson, W Chang… - ASMC 2013 SEMI …, 2013 - ieeexplore.ieee.org
Improvement of learning cycle time and mean time to detect issues is integral to kee** up
with the increasing pace needed in semiconductor technology development. Use of electron …

A 4.6W/mm2 power density 86% efficiency on-chip switched capacitor DC-DC converter in 32 nm SOI CMOS

TM Andersen, F Krismer, JW Kolar… - 2013 Twenty-Eighth …, 2013 - ieeexplore.ieee.org
The future trends in microprocessor supply current requirements represent a bottleneck for
next generation high-performance microprocessors since the number of supply pins will …

Heterogeneous acceleration pipeline for recommendation system training

M Adnan, YE Maboud, D Mahajan… - 2024 ACM/IEEE 51st …, 2024 - ieeexplore.ieee.org
Recommendation models rely on deep learning networks and large embedding tables,
resulting in computationally and memory-intensive processes. These models are typically …

From layout to system: Early stage power delivery and architecture co-exploration

C Zhuo, K Unda, Y Shi, WK Shih - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
With the reduced noise margin brought by relentless technology scaling, power integrity
assurance has become more challenging than ever. On the other hand, traditional design …

Methodology for trench capacitor etch optimization using voltage contrast inspection and special processing

OD Patterson, XJ Zhou, RS Takalkar… - 2010 IEEE/SEMI …, 2010 - ieeexplore.ieee.org
Embedded DRAM will play a much larger part in IBM server microprocessors for new SOI
technologies. Etch of a deep trench (DT) into the substrate, which is used to form the …

The implementation of POWER7TM: A highly parallel and scalable multi-core high-end server processor

D Wendel, R Kalla, R Cargoni, J Clables… - … Solid-State Circuits …, 2010 - ieeexplore.ieee.org
POWER7 TM the next generation processor of the POWER TM family is introduced. The 8-
core chip, supporting 32 threads, is implemented in 45 nm 11 M CMOS SOI. The 32 kB L1 …