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arXiv 2021年

作者： Seok, Jinwuk Kim, Jeong-Si High Performance Embedded System SW Research Section Future Computing Research Division Artificial Intelligence Research Lab. Electronics Telecommunications Research Institute Korea Republic of

In this paper, we propose a quantized learning equation with a monotone increasing resolution of quantization and stochastic analysis for the proposed algorithm. According to the white noise hypothesis for the quantization error with dense and uniform distribution, we can regard the quantization error as i.i.d. white noise. Based on this, we show that the learning equation with monotonically increasing quantization resolution converges weakly as the distribution viewpoint. The analysis of this paper shows that global optimization is possible for a domain that satisfies the Lipschitz condition instead of local convergence properties such as the Hessian constraint of the objective function. Copyright © 2021, The Authors. All rights reserved.

关键词： Global optimization

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Modeling and resolving lock contention for multi-threaded systems

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ICIC Express Letters 2011年第12期5卷 4473-4478页

作者： Zhang, Yang Talpur, Shahnawaz High Performance Embedded Computing Lab School of Computer Science and Echnology Beijing Institute of Technology No. 5 South Zhongguancun Street Haidian Dist Beijing 100081 China School of Information Science and Engineering Hebei University of Science and Technology No. 186 Yuhua East Rd Shijiazhuang 050018 China

Locks are efficient concurrent control mechanisms to ensure that shared resources are accessed by only a single thread in multi-threaded applications. However, for multi-core systems, lock usage leads to lock contention, which degrades program performance, increases system response time, and negatively affects scalability. This paper initially models lock contention from two aspects: static structure and dynamic behavior. Static constraints of lock contention that describe the contention among threads and the dynamic constraints that define the lock request behavior during contended process are presented. In addition, a contention-aware lock (CA-Lock) is proposed. The CA-Lock is an ordinary lock when there is no contention;it improves the concurrency by transforming into software transactional memory (STM) when the contention is serious. For those situations that are not fitted with STM, the CA-Lock can transform back into an ordinary lock. Primary experimental results show that the CA-Lock can track the best world of lock or STM. © 2011 ICIC International.

关键词： Locks (fasteners)

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performance prediction based on hierarchy parallel features captured in multi-processing system 09

Performance prediction based on hierarchy parallel features ...

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18th ACM International Symposium on high performance Distributed computing, HPDC 09, Co-located with the 2009 International Symposium on high performance Distributed computing Conference, HPDC'09

作者： Jiaxin, Li Feng, Shi Ning, Deng Qi, Zuo High Performance Embedded Computing Lab. School of Computer Science and Technology Beijing Institute of Technology China

ISBN: (纸本)9781605585871

As the computing ability of high performance computers are improved by increasing the number of computing elements, how to utilize the available computing resources becomes an important issue. Different strategies to solve an problem based on a multi-processing system can bring about distinct performance. In this paper, we propose a method to predict the performance of parallel applications. The method describes the parallel features of the multi-processing systems in a hierarchy way, and evaluates solutions based on the description. In this way, programmers can find the better solution of an application before real programming.

关键词： Forecasting

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