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 …
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
The Memory stress (Mess) framework provides a unified view of the memory system
benchmarking, simulation and application profiling. The Mess benchmark provides a holistic …
benchmarking, simulation and application profiling. The Mess benchmark provides a holistic …
LoopPoint: Checkpoint-driven sampled simulation for multi-threaded applications
Generic multi-threaded sampled simulation has been a long-standing, challenging problem
with the potential to help change how researchers study modern, complex computing …
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
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 …
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
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 …
and challenging. This paper proposes a new approachto modelling and characterizing big …
Predicting new workload or CPU performance by analyzing public datasets
The marketplace for general-purpose microprocessors offers hundreds of functionally similar
models, differing by traits like frequency, core count, cache size, memory bandwidth, and …
models, differing by traits like frequency, core count, cache size, memory bandwidth, and …
Predictable GPUs frequency scaling for energy and performance
Dynamic voltage and frequency scaling (DVFS) is an important solution to balance
performance and energy consumption, and hardware vendors provide management …
performance and energy consumption, and hardware vendors provide management …
Analytic multi-core processor model for fast design-space exploration
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 …
simulators even of moderate size and detail makes the approach infeasible for design-space …
Machine learning-based microarchitecture-level power modeling of CPUs
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 …
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
This paper proposes PerfVec, a novel deep learning-based performance modeling
framework that learns high-dimensional, independent/orthogonal program and …
framework that learns high-dimensional, independent/orthogonal program and …