An ultra-low quiescent current tri-mode DC-DC buck converter with 92.1% peak efficiency for IoT applications

M Zhao, M Li, S Song, Y Hu, Y Yao… - … on Circuits and …, 2021 - ieeexplore.ieee.org
An ultra-low quiescent current tri-mode DC-DC buck converter is presented in this paper,
which is able to handle a 100,000 X load range. In pulse width modulation (PWM) and pulse …

A mess of memory system benchmarking, simulation and application profiling

P Esmaili-Dokht, F Sgherzi, VS Girelli… - 2024 57th IEEE/ACM …, 2024 - ieeexplore.ieee.org
The Memory stress (Mess) framework provides a unified view of the memory system
benchmarking, simulation and application profiling. The Mess benchmark provides a holistic …

LoopPoint: Checkpoint-driven sampled simulation for multi-threaded applications

A Sabu, H Patil, W Heirman… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Generic multi-threaded sampled simulation has been a long-standing, challenging problem
with the potential to help change how researchers study modern, complex computing …

An efficient binary programming method for black-box optimization and its application in processor design

X Lv, Q Zhai, J Hu, Y Zhu, J Liu, X Guan - Science China Information …, 2024 - Springer
Optimizing the parameter settings in a large design space for the processor with limited
simulation resources is a challenging task. The current black-box optimization algorithms for …

Data motifs: A lens towards fully understanding big data and ai workloads

W Gao, J Zhan, L Wang, C Luo, D Zheng… - Proceedings of the 27th …, 2018 - dl.acm.org
The complexity and diversity of big data and AI workloads make understanding them difficult
and challenging. This paper proposes a new approachto modelling and characterizing big …

Predicting new workload or CPU performance by analyzing public datasets

Y Wang, V Lee, GY Wei, D Brooks - ACM Transactions on Architecture …, 2019 - dl.acm.org
The marketplace for general-purpose microprocessors offers hundreds of functionally similar
models, differing by traits like frequency, core count, cache size, memory bandwidth, and …

Predictable GPUs frequency scaling for energy and performance

K Fan, B Cosenza, B Juurlink - … of the 48th International Conference on …, 2019 - dl.acm.org
Dynamic voltage and frequency scaling (DVFS) is an important solution to balance
performance and energy consumption, and hardware vendors provide management …

Analytic multi-core processor model for fast design-space exploration

R Jongerius, A Anghel, G Dittmann… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Simulators help computer architects optimize system designs. The limited performance of
simulators even of moderate size and detail makes the approach infeasible for design-space …

Machine learning-based microarchitecture-level power modeling of CPUs

AKA Kumar, S Al-Salamin, H Amrouch… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Energy efficiency has emerged as a key concern for modern processor design, especially
when it comes to embedded and mobile devices. It is vital to accurately quantify the power …

Learning Independent Program and Architecture Representations for Generalizable Performance Modeling

L Li, T Flynn, A Hoisie - arxiv preprint arxiv:2310.16792, 2023 - arxiv.org
This paper proposes PerfVec, a novel deep learning-based performance modeling
framework that learns high-dimensional, independent/orthogonal program and …