Proceedings of the 11th ACM Conference on Computing Frontiers最新文献_第4页

SKOPE: a framework for modeling and exploring workload behavior SKOPE:建模和探索工作负载行为的框架

Proceedings of the 11th ACM Conference on Computing Frontiers Pub Date : 2014-05-20 DOI: 10.1145/2597917.2597928

Jiayuan Meng, Xingfu Wu, V. Morozov, V. Vishwanath, Kalyan Kumaran, V. Taylor

{"title":"SKOPE: a framework for modeling and exploring workload behavior","authors":"Jiayuan Meng, Xingfu Wu, V. Morozov, V. Vishwanath, Kalyan Kumaran, V. Taylor","doi":"10.1145/2597917.2597928","DOIUrl":"https://doi.org/10.1145/2597917.2597928","url":null,"abstract":"Understanding workload behavior plays an important role in performance studies. The growing complexity of applications and architectures has increased the gap among application developers, performance engineers, and hardware designers. To reduce this gap, we propose SKOPE, a SKeleton framework for Performance Exploration, that produces a descriptive model about the semantic behavior of a workload, which can infer potential transformations and help users understand how workloads may interact with and adapt to emerging hardware. SKOPE models can be shared, annotated, and studied by a community of performance engineers and system designers; they offer readability in the frontend and versatility in the backend. SKOPE can be used for performance analysis, tuning, and projection. We provide two example use cases. First, we project GPU performance from CPU code without GPU programming or accessing the hardware, and are able to automatically explore transformations and the projected best-achievable performance deviates from the measured by 18% on average. Second, we project the multi-node scaling trends of two scientific workloads, and are able to achieve a projection accuracy of 95%.","PeriodicalId":194910,"journal":{"name":"Proceedings of the 11th ACM Conference on Computing Frontiers","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128113626","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: 24

Feature-based device selection in heterogeneous computing systems 异构计算系统中基于特征的设备选择

Proceedings of the 11th ACM Conference on Computing Frontiers Pub Date : 2014-05-20 DOI: 10.1145/2597917.2597927

Ayman Tarakji, Niels Ole Salscheider, Stephan Alt, Jan Heiducoff

引用次数: 4

SAMO: store aware memory optimizations SAMO:存储感知内存优化

Proceedings of the 11th ACM Conference on Computing Frontiers Pub Date : 2014-05-20 DOI: 10.1145/2597917.2597940

K. Raghavendra, Tripti S. Warrier, M. Mutyam

引用次数: 0

High throughput genetic sequence analysis 高通量基因序列分析

Proceedings of the 11th ACM Conference on Computing Frontiers Pub Date : 2014-05-20 DOI: 10.1145/2597917.2597957

H. Lam, S. Cunningham, S. Sreevatsan, Daniel Boley

引用次数: 0

On generating multicast routes for SpiNNaker SpiNNaker多播路由生成研究

Proceedings of the 11th ACM Conference on Computing Frontiers Pub Date : 2014-05-20 DOI: 10.1145/2597917.2597938

J. Navaridas, M. Luján, L. Plana, S. Temple, S. Furber

{"title":"On generating multicast routes for SpiNNaker","authors":"J. Navaridas, M. Luján, L. Plana, S. Temple, S. Furber","doi":"10.1145/2597917.2597938","DOIUrl":"https://doi.org/10.1145/2597917.2597938","url":null,"abstract":"The human brain is an immense biological neural network characterized by high degrees of connectivity among neurons. Any system designed to simulate biologically-plausible spiking neuronal networks needs to support such connectivity and the associated communication traffic in the form of spike events. This paper demonstrates the adequacy of multicast communications to achieve such a demanding goal and introduces a collection of algorithms to generate multicast routes. These algorithms target the SpiNNaker interconnect; a two dimensional triangular toroidal mesh with support for selective multicast. As generating multicast routes is a NP-complete problem, these algorithms are an essential ingredient for an efficient operation of SpiNNaker. Although multicast networks have been studied in the literature, existing algorithms cannot be applied efficiently to SpiNNaker. A comprehensive evaluation analyzing the largest configuration of the SpiNNaker system (over 1 million ARM cores) shows that each algorithm provides diverse benefits and drawbacks which can be exploited to avoid possible bottlenecks. Results show that the communication infrastructure of SpiNNaker will be able to support the high communication pressure exerted by simulating in real-time biologically plausible spiking neural applications","PeriodicalId":194910,"journal":{"name":"Proceedings of the 11th ACM Conference on Computing Frontiers","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127356410","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: 4

Hardware support for address mapping in PGAS languages: a UPC case study PGAS语言中地址映射的硬件支持:UPC案例研究

Proceedings of the 11th ACM Conference on Computing Frontiers Pub Date : 2013-09-09 DOI: 10.1145/2597917.2597945

O. Serres, Abdullah Kayi, Ahmad Anbar, T. El-Ghazawi

引用次数: 3

Proceedings of the 11th ACM Conference on Computing Frontiers 第11届ACM计算前沿会议论文集

Proceedings of the 11th ACM Conference on Computing Frontiers Pub Date : 1900-01-01 DOI: 10.1145/2597917

引用次数: 0