Energy-efficient application mapping and scheduling for lifetime guaranteed MPSoCs
Energy optimization is one of the most critical objectives for the synthesis of multiprocessor
system-on-chip (MPSoC). Besides, to ensure a long processor lifetime and to maintain a …
system-on-chip (MPSoC). Besides, to ensure a long processor lifetime and to maintain a …
Latency-aware DVFS for efficient power state transitions on many-core architectures
Energy efficiency is quickly becoming a first-class design constraint in high-performance
computing (HPC). We need more efficient power management solutions to save energy …
computing (HPC). We need more efficient power management solutions to save energy …
Hardware-level thread migration to reduce on-chip data movement via reinforcement learning
As the number of processing cores and associated threads in chip multiprocessors (CMPs)
continues to scale out, on-chip memory access latency dominates application execution time …
continues to scale out, on-chip memory access latency dominates application execution time …
An all-digital self-calibrated delay-line based temperature sensor for VLSI thermal sensing and management
This paper presents a low power self-calibrated delay-line based temperature sensor
intended for Very Large Scale Integration (VLSI) thermal management applications. It …
intended for Very Large Scale Integration (VLSI) thermal management applications. It …
An improved thermal model for static optimization of application mapping and scheduling in multiprocessor system-on-chip
With the increasing power density and number of cores integrated into a single chip, thermal
management is widely recognized as one of the essential issues in Multi-Processor Systems …
management is widely recognized as one of the essential issues in Multi-Processor Systems …
Detection of copy number variation from next generation sequencing data with total variation penalized least square optimization
The detection of copy number variation is important to understand complex diseases such
as autism, schizophrenia, cancer, etc. In this paper we propose a method to detect copy …
as autism, schizophrenia, cancer, etc. In this paper we propose a method to detect copy …
[图书][B] Optimizing Power Consumption, Resource Utilization, and Performance for Manycore Architectures using Reinforcement Learning
QD Fettes - 2022 - search.proquest.com
As process technology and transistor size continue to shrink into the sub-nanometer regime,
the number of cores that can be integrated on-chip continues to increase exponentially. Due …
the number of cores that can be integrated on-chip continues to increase exponentially. Due …
An efficient technique for chip temperature optimization of multiprocessor systems in the dark silicon era
In the dark silicon era, a fundamental problem is: given a real-time computation demand
represented by a set of independent applications with their own power consumption, how to …
represented by a set of independent applications with their own power consumption, how to …
Fundamental limits on run-time power management algorithms for MPSoCs
We consider the case of multiprocessor systems-on-chip (MPSoC) implemented using
multiple voltage and frequency islands (VFIs) relying on fine-grained dynamic voltage and …
multiple voltage and frequency islands (VFIs) relying on fine-grained dynamic voltage and …
[PDF][PDF] New simulation techniques for energy aware cloud computing environments
GG Castañé, JC Pérez, AN Covarrubias - 2015 - core.ac.uk
En esta tésis se propone una nueva plataforma de simulación específicamente diseñada
para modelar entornos de computación en la nube, sus arquitecturas subyacentes, y la …
para modelar entornos de computación en la nube, sus arquitecturas subyacentes, y la …