The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
동시 멀티스레딩 기술(SMT)은 프로세서의 자원 사용 효율성을 향상시켜 전반적인 처리량과 공정성을 효과적으로 향상시킬 수 있습니다. 전통적인 연구에서는 실제 시스템에서 평가하기 위한 몇 가지 측정 기준을 제안했는데, 각 측정 기준은 공정성과 처리량 간의 균형을 유지합니다. 수요를 충족시키기 위해 적절한 지표를 선택하는 방법은 여전히 논란의 여지가 있습니다. 따라서 각 지표의 특성을 분석하고 비교하여 적절한 지표를 선택하는 방법에 대한 제안을 제시합니다. 또한, 클라우드 컴퓨팅의 새로운 애플리케이션 시나리오의 경우 데이터 센터는 킬러 애플리케이션에 대한 서비스 품질에 대한 수요가 높아 성능 보장 측면에서 SMT에 새로운 과제를 안겨줍니다. 따라서 우리는 성능 보장의 품질을 평가하기 위해 새로운 지표 P-slowdown을 제안합니다. 실험 데이터를 기반으로 성능 평가에 대한 P-느림의 타당성을 보여줍니다. 또한 P-slowdown과 자원 할당 전략의 협력을 통해 SMT 프로세서의 성능 보장 수준을 향상시킬 뿐만 아니라 P-slowdown을 사용하여 다음과 같은 발생을 예측하는 두 가지 사용 사례를 통해 P-slowdown의 이점을 보여줍니다. 보안 공격에 대한 비정상적인 행동.
Xin JIN
Xi'an University of Technology
Ningmei YU
Xi'an University of Technology
멀티스레딩 프로세서, 측량, 처리량, 공평, 예측 가능성
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부
Xin JIN, Ningmei YU, "Which Metric Is Suitable for Evaluating Your Multi-Threading Processors? In Terms of Throughput, Fairness, and Predictability" in IEICE TRANSACTIONS on Fundamentals,
vol. E103-A, no. 9, pp. 1127-1132, September 2020, doi: 10.1587/transfun.2019EAL2155.
Abstract: Simultaneous multithreading technology (SMT) can effectively improve the overall throughput and fairness through improving the resources usage efficiency of processors. Traditional works have proposed some metrics for evaluation in real systems, each of which strikes a trade-off between fairness and throughput. How to choose an appropriate metric to meet the demand is still controversial. Therefore, we put forward suggestions on how to select the appropriate metrics through analyzing and comparing the characteristics of each metric. In addition, for the new application scenario of cloud computing, the data centers have high demand for the quality of service for killer applications, which bring new challenges to SMT in terms of performance guarantees. Therefore, we propose a new metric P-slowdown to evaluate the quality of performance guarantees. Based on experimental data, we show the feasibility of P-slowdown on performance evaluation. We also demonstrate the benefit of P-slowdown through two use cases, in which we not only improve the performance guarantee level of SMT processors through the cooperation of P-slowdown and resources allocation strategy, but also use P-slowdown to predict the occurrence of abnormal behavior against security attacks.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2019EAL2155/_p
부
@ARTICLE{e103-a_9_1127,
author={Xin JIN, Ningmei YU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Which Metric Is Suitable for Evaluating Your Multi-Threading Processors? In Terms of Throughput, Fairness, and Predictability},
year={2020},
volume={E103-A},
number={9},
pages={1127-1132},
abstract={Simultaneous multithreading technology (SMT) can effectively improve the overall throughput and fairness through improving the resources usage efficiency of processors. Traditional works have proposed some metrics for evaluation in real systems, each of which strikes a trade-off between fairness and throughput. How to choose an appropriate metric to meet the demand is still controversial. Therefore, we put forward suggestions on how to select the appropriate metrics through analyzing and comparing the characteristics of each metric. In addition, for the new application scenario of cloud computing, the data centers have high demand for the quality of service for killer applications, which bring new challenges to SMT in terms of performance guarantees. Therefore, we propose a new metric P-slowdown to evaluate the quality of performance guarantees. Based on experimental data, we show the feasibility of P-slowdown on performance evaluation. We also demonstrate the benefit of P-slowdown through two use cases, in which we not only improve the performance guarantee level of SMT processors through the cooperation of P-slowdown and resources allocation strategy, but also use P-slowdown to predict the occurrence of abnormal behavior against security attacks.},
keywords={},
doi={10.1587/transfun.2019EAL2155},
ISSN={1745-1337},
month={September},}
부
TY - JOUR
TI - Which Metric Is Suitable for Evaluating Your Multi-Threading Processors? In Terms of Throughput, Fairness, and Predictability
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1127
EP - 1132
AU - Xin JIN
AU - Ningmei YU
PY - 2020
DO - 10.1587/transfun.2019EAL2155
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E103-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2020
AB - Simultaneous multithreading technology (SMT) can effectively improve the overall throughput and fairness through improving the resources usage efficiency of processors. Traditional works have proposed some metrics for evaluation in real systems, each of which strikes a trade-off between fairness and throughput. How to choose an appropriate metric to meet the demand is still controversial. Therefore, we put forward suggestions on how to select the appropriate metrics through analyzing and comparing the characteristics of each metric. In addition, for the new application scenario of cloud computing, the data centers have high demand for the quality of service for killer applications, which bring new challenges to SMT in terms of performance guarantees. Therefore, we propose a new metric P-slowdown to evaluate the quality of performance guarantees. Based on experimental data, we show the feasibility of P-slowdown on performance evaluation. We also demonstrate the benefit of P-slowdown through two use cases, in which we not only improve the performance guarantee level of SMT processors through the cooperation of P-slowdown and resources allocation strategy, but also use P-slowdown to predict the occurrence of abnormal behavior against security attacks.
ER -