2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS)最新文献_第2页

Improving Application Concurrency on GPUs by Managing Implicit and Explicit Synchronizations 通过管理隐式和显式同步来提高gpu上的应用程序并发性

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.73

M. Butler, Kittisak Sajjapongse, M. Becchi

{"title":"Improving Application Concurrency on GPUs by Managing Implicit and Explicit Synchronizations","authors":"M. Butler, Kittisak Sajjapongse, M. Becchi","doi":"10.1109/ICPADS.2015.73","DOIUrl":"https://doi.org/10.1109/ICPADS.2015.73","url":null,"abstract":"Originally designed to be used as dedicated coprocessors, GPUs have progressively become part of shared computing environments, such as HPC servers and clusters. Commonly used GPU software stacks (e.g., CUDA and OpenCL), however, are designed for the dedicated use of GPUs by a single application, possibly leading to resource underutilization when multiple applications share the GPU resources. In recent years, several node-level runtime components have been proposed to target this problem and allow the efficient sharing of GPUs among concurrent applications. The concurrency enabled by these systems, however, is limited by synchronizations embedded in the applications or implicitly introduced by the GPU software stack. This work targets this problem. We first analyze the effect of explicit and implicit synchronizations on application concurrency and GPU utilization. We then design runtime mechanisms to bypass these synchronizations, along with a memory management scheme that can be integrated with these synchronization avoidance mechanisms to improve GPU utilization and system throughput. We integrate these mechanisms into a recently proposed GPU virtualization runtime named Sync-Free GPU (SF-GPU), thus removing unnecessary blockages caused by multitenancy, ensuring any two applications running on the same device experience limited to no interference, maximizing the level of concurrency supported. We also release our mechanisms in the form of a software API that can be used by programmers to improve the performance of their applications without modifying their code. Finally, we evaluate the impact of our proposed mechanisms on applications run in isolation and concurrently.","PeriodicalId":231517,"journal":{"name":"2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131102816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

PEVTS: Privacy-Preserving Electric Vehicles Test-Bedding Scheme PEVTS:保护隐私的电动汽车试验台计划

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.43

Xu Yang, Joseph K. Liu, Wei Wu, M. Au, W. Susilo

引用次数: 0

Scalable and Fault-Tolerant Cloud Computations: Modelling and Implementation 可伸缩和容错云计算:建模和实现

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.57

M. Spichkova, Ian E. Thomas, H. Schmidt, I. I. Yusuf, D. Drumm, S. Androulakis, G. Opletal, S. Russo

引用次数: 12

Energy-Aware Caching 节能意识缓存

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.66

Wei Zhang, Rui Fan, Fang Liu, Pan Lai

{"title":"Energy-Aware Caching","authors":"Wei Zhang, Rui Fan, Fang Liu, Pan Lai","doi":"10.1109/ICPADS.2015.66","DOIUrl":"https://doi.org/10.1109/ICPADS.2015.66","url":null,"abstract":"To achieve higher performance, cache sizes have been steadily increasing in computer processors and network systems. But caches are often over-provisioned for peak demand and underutilized in typical non-peak workloads. As caches consume substantial power, this results in significant amounts of wasted energy. To address this, existing works turn off parts of the cache when they do not contribute to higher performance. However, while these methods are effective empirically, they lack provable performance bounds. In addition, existing works focus on processor caches and are not applicable to network caches where data size and cost can vary. In this paper, we study the energy-aware caching (EAC) problem, and seek to minimize the total cost incurred due to cache misses and energy consumption. We propose three algorithms to solve different variants of this problem. The first is an optimal offline algorithm that runs in O(kn log n) time for a size k cache and n cache accesses. Then, we propose a simple online algorithm for uniform data size and cost that is 2 + h/(h-h+1 competitive compared to an optimal algorithm with a size h ≤ k cache. Lastly, we propose a 2 + h-1/(h-h+1) competitive online algorithm that allows arbitrary data sizes and costs. We give an efficient implementation of the algorithm that takes O(log k) amortized time per cache access, and also present an adaptive version that reacts to workload patterns to achieve better real-world performance. Using trace driven simulations, we show our algorithm has substantially lower cost than algorithms focused on maximizing cache hit rates or minimizing energy usage alone.","PeriodicalId":231517,"journal":{"name":"2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131870695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Resource Provision for Batch and Interactive Workloads in Data Centers 数据中心批量和交互工作负载的资源分配

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.60

Ting-Wei Chang, Ching-Chi Lin, Pangfeng Liu, Jan-Jan Wu, Chia-Chun Shih, Chao-Wen Huang

引用次数: 3

Building Blocks for a System-Wide Power and Thermal Management Framework 全系统电源和热管理框架的构建模块

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.93

Ananta Tiwari, Adam Jundt, W. A. Ward, R. Campbell, L. Carrington

{"title":"Building Blocks for a System-Wide Power and Thermal Management Framework","authors":"Ananta Tiwari, Adam Jundt, W. A. Ward, R. Campbell, L. Carrington","doi":"10.1109/ICPADS.2015.93","DOIUrl":"https://doi.org/10.1109/ICPADS.2015.93","url":null,"abstract":"Next generation Exascale systems face the difficult challenge of managing the power and thermal constraints that come from packaging more transistors into a smaller space while adding more processors into a single system. To combat this, HPC center operators are looking for methodologies to save operational energy. Energy consumption in an HPC center is governed by the complex interactions between a number of different components. Without a coordinated and system-wide perspective on reducing energy consumption, isolated actions taken on one component with the intent to lower energy consumption can actually have the opposite effect on another component, thereby canceling out the net effect. For example, increasing the setpoint (or ambient temperature) to save cooling energy can lead to increased compute-node fan power and increased chip leakage power. This paper presents the building blocks required to develop and implement a system-wide framework that can take a coordinated approach to enact thermal and power management decisions at compute-node (e.g., CPU speed throttling) and infrastructure levels (e.g., selecting optimal setpoint). These building blocks consist of a suite of models that inform the thermal and power footprint of different computations, and present relationships between computational properties and datacenter operating conditions.","PeriodicalId":231517,"journal":{"name":"2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115124407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Conceptual Survey on Data Stream Processing Systems 数据流处理系统概念综述

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.106

Guenter Hesse, M. Lorenz

引用次数: 52

Decentralized Dynamic Participation in Participatory Sensing: A Correlated-Equilibrium Game Approach 参与式感知中的分散动态参与:一个相关均衡博弈方法

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.40

Yanmin Zhu, Liqun Huang, Yao Sun

引用次数: 0

Using Analytical Models to Bootstrap Machine Learning Performance Predictors 使用分析模型来引导机器学习性能预测器

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.58

Diego Didona, P. Romano

引用次数: 10

Participant-Density-Aware Privacy-Preserving Aggregate Statistics for Mobile Crowd-Sensing 面向移动人群感知的参与者密度感知隐私保护聚合统计

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2015-12-14 DOI: 10.1109/ICPADS.2015.26

Jianwei Chen, Huadong Ma, David S. L. Wei, Dong Zhao

{"title":"Participant-Density-Aware Privacy-Preserving Aggregate Statistics for Mobile Crowd-Sensing","authors":"Jianwei Chen, Huadong Ma, David S. L. Wei, Dong Zhao","doi":"10.1109/ICPADS.2015.26","DOIUrl":"https://doi.org/10.1109/ICPADS.2015.26","url":null,"abstract":"Mobile crowd-sensing applications produce useful knowledge of the surrounding environment, which makes our life more predictable. However, these applications often require people to contribute, consciously or unconsciously, location-related data for analysis, and this gravely encroaches users' location privacy. Aggregate processing is a feasible way for preserving user privacy to some extent, and based on the mode, some privacy-preserving schemes have been proposed. However, existing schemes still cannot guarantee users' location privacy in the scenarios with low density participants. Meanwhile, user accountability also needs to be considered comprehensively to protect the system from malicious users. In this paper, we propose a participant-density-aware privacy-preserving aggregate statistics scheme for mobile crowd-sensing applications. In our scheme, we make use of multi-pseudonym mechanism to overcome the vulnerability due to low participant density. To further handle sybil attacks, based on the Paillier cryptosystem and non-interactive zero-knowledge verification, we advance and improve our solution framework, which also covers the problem of user accountability. Finally, the theoretical analysis indicates that our scheme achieves the desired properties, and the performance experiments demonstrate that our scheme can achieve a balance among accuracy, privacy-protection and computational overhead.","PeriodicalId":231517,"journal":{"name":"2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127632103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13