Research on dynamic optimization method of embedded multi-core performance based on runtime

Background: Embedded multi-core systems often have special limitations in sharing resources and storage capacity. These limitations often lead to parallel programs running with lower parallel efficiency due to bandwidth, data competition and other factors. Objective: In order to improve the performance of embedded multi-core systems, parallel strategies can be adjusted dynamically and adaptively for different parallel program structures. Method: A control mechanism of the thread count based on runtime information feedback is proposed, which enables the system to dynamically select the number of threads when the program runs best according to the structure characteristics of parallel programs. Then, an adaptive dynamic scheduling algorithm is proposed to solve the load imbalance in parallel program execution. Results: An optimization framework based on run-time architecture is presented, which consists of two parts: performance monitoring and control interface. It can take corresponding optimization strategies according to the running state of parallel programs. Conclusion: The performance of embedded multi-core system is improved.

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IoT based performance monitoring and control in counter flow double pipe heat exchanger

Internet of Things ◽

10.1016/j.iot.2018.11.002 ◽

2019 ◽

Vol 5 ◽

pp. 34-40 ◽

Cited By ~ 8

Author(s):

M. Sridharan ◽

R. Devi ◽

C.S. Dharshini ◽

M. Bhavadarani

Keyword(s):

Heat Exchanger ◽

Performance Monitoring ◽

Monitoring And Control ◽

Counter Flow ◽

Double Pipe ◽

And Control ◽

Pipe Heat

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Monitoring and Control Interface Based on Virtual Sensors

Sensors ◽

10.3390/s141120645 ◽

2014 ◽

Vol 14 (11) ◽

pp. 20645-20666 ◽

Cited By ~ 2

Author(s):

Ricardo Escobar ◽

Manuel Adam-Medina ◽

Carlos García-Beltrán ◽

Víctor Olivares-Peregrino ◽

David Juárez-Romero ◽

...

Keyword(s):

Monitoring And Control ◽

Virtual Sensors ◽

Control Interface ◽

And Control

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Design of Multi-Performance Monitoring and Control System for an Experimental BIPVs/BAPVs

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.614-615.1352 ◽

2012 ◽

Vol 614-615 ◽

pp. 1352-1356

Author(s):

Jin Jiang Zhang ◽

Yong Ping Zheng

Keyword(s):

Control System ◽

Performance Monitoring ◽

Interaction Mechanism ◽

Electrical Energy ◽

System Structure ◽

Electrical Performance ◽

Monitoring And Control ◽

Monitoring And Control System ◽

Component Reliability ◽

And Control

Photovoltaics systems effectively used in buildings will contribute to reduce electrical energy consumption and carbon emissions significantly. Main characteristics and recent development of BIPVs and BAPVs and is analyzed firstly. The system structure and major equipment for an experimental BIPVs/BAPVs system is presented. And a multi-performance comprehensive monitoring and control system integrated both BIPVs and BAPVs is designed as well. It established an important system platform for further analysis of the interaction mechanism among the electrical performance, component reliability, and environmental adaptability of BIPVs particularly.

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The role of serotonin (5-HT) in performance monitoring and control: A combined genetic and pharmacological EEG study

International Journal of Psychophysiology ◽

10.1016/j.ijpsycho.2014.08.776 ◽

2014 ◽

Vol 94 (2) ◽

pp. 184

Author(s):

Adrian G. Fischer ◽

Tanja Endrass ◽

Martin Reuter ◽

Christian Kubisch ◽

Markus Ullsperger

Keyword(s):

Performance Monitoring ◽

Monitoring And Control ◽

And Control

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ON MESSAGE PACKAGING IN TASK SCHEDULING FOR DISTRIBUTED MEMORY PARALLEL MACHINES

International Journal of Foundations of Computer Science ◽

10.1142/s0129054101000497 ◽

2001 ◽

Vol 12 (03) ◽

pp. 285-306 ◽

Cited By ~ 2

Author(s):

NORIYUKI FUJIMOTO ◽

TOMOKI BABA ◽

TAKASHI HASHIMOTO ◽

KENICHI HAGIHARA

Keyword(s):

Task Scheduling ◽

High Performance ◽

Distributed Memory ◽

Parallel Machines ◽

Scheduling Algorithm ◽

Parallel Programs ◽

Parallel Program ◽

Interprocessor Communication ◽

Task Scheduling Algorithm ◽

Software Overhead

In this paper, we report a performance gap betweeen a schedule with small makespan on the task scheduling model and the corresponding parallel program on distributed memory parallel machines. The main reason of the gap is the software overhead in the interprocessor communication. Therefore, speedup ratios of schedules on the model do not approximate well to those of parallel programs on the machines. The purpose of the paper is to get a task scheduling algorithm that generates a schedule with good approximation to the corresponding parallel program and with small makespan. For this purpose, we propose algorithm BCSH that generates only bulk synchronous schedules. In those schedules, no-communication phases and communication phases appear alternately. All interprocessor communications are done only in the latter phases, and thus the corresponding parallel programs can make better use of the message packaging technique easily. It reduces many software overheads of messages form a source processor to the same destination processor to almost one software overhead, and improves the performance of a parallel program significantly. Finally, we show some experimental results of performance gaps on BCSH, Kruatrachue's algorithm DSH, and Ahmad et al's algorithm ECPFD. The schedules by DSH and ECPFD are famous for their small makespans, but message packaging can not be effectively applied to the corresponding program. The results show that a bulk synchronous schedule with small makespan has advantages that the gap is small and the corresponding program is a high performance parallel one.

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