2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW)最新文献

Standalone Data-Center Sizing Combating the Over-Provisioning of the IT and Electrical Parts 独立数据中心的规模与IT和电气部分的过度供应作斗争

2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW) Pub Date : 2022-11-01 DOI: 10.1109/SBAC-PADW56527.2022.00019

Manal Benaissa, Georges Da Costa, J. Nicod

{"title":"Standalone Data-Center Sizing Combating the Over-Provisioning of the IT and Electrical Parts","authors":"Manal Benaissa, Georges Da Costa, J. Nicod","doi":"10.1109/SBAC-PADW56527.2022.00019","DOIUrl":"https://doi.org/10.1109/SBAC-PADW56527.2022.00019","url":null,"abstract":"During the two last decades, sustainability of IT infrastructures like datacenters became a major concern for computer giants like Google or Amazon. Datacenters powered with renewable energy have been proposed. But because of the intermittency of these power alternatives, these platforms remains connected to the classical power grid. IT structure and electrical constraints were often questioned separately, leading to a non-efficient global system. In this paper, an energy self-sufficient green datacenter is modeled and designed, by proposing an electrically autonomous infrastructure including wind turbines, solar panels and its own short and long-term storage devices mainly based on batteries and hydrogen system. Existing sizing approaches limit themselves to a perfect QoS leading to an overestimation of the needed equipment. In this paper we show how to reduce and combat this overprovioning by questioning its impact on the QoS and needed equipment: decreasing the number of computing or storage elements (servers and batteries). As an example, decreasing the targeted QoS from 100 to 95% more than halves the needed number of servers, while a decrease of 30% of the battery capacity has a negligible impact on the electrical infrastructure.","PeriodicalId":263889,"journal":{"name":"2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121839216","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: 1

WAMCA 2022 Workshop Organization WAMCA 2022车间组织

2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW) Pub Date : 2022-11-01 DOI: 10.1109/sbac-padw56527.2022.00007

引用次数: 0

Compiling Files in Parallel: A Study with GCC 并行编译文件:GCC的研究

2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW) Pub Date : 2022-11-01 DOI: 10.1109/SBAC-PADW56527.2022.00011

Giuliano Belinassi, R. Biener, J. Hubicka, Daniel Cordeiro, A. Goldman

引用次数: 0

Message from the WCC 2022 Workshop Organizers WCC 2022研讨会组织者的信息

2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW) Pub Date : 2022-11-01 DOI: 10.1109/sbac-padw56527.2022.00008

引用次数: 0

Energy-efficient online resource provisioning for cloud-edge platforms via multi-armed bandits 通过多武装强盗为云边缘平台提供高能效的在线资源配置

2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW) Pub Date : 2022-11-01 DOI: 10.1109/SBAC-PADW56527.2022.00017

Jordan Rey-Jouanchicot, Juan Angel Lorenzo del Castillo, Stéphane Zuckerman, E. Belmega

{"title":"Energy-efficient online resource provisioning for cloud-edge platforms via multi-armed bandits","authors":"Jordan Rey-Jouanchicot, Juan Angel Lorenzo del Castillo, Stéphane Zuckerman, E. Belmega","doi":"10.1109/SBAC-PADW56527.2022.00017","DOIUrl":"https://doi.org/10.1109/SBAC-PADW56527.2022.00017","url":null,"abstract":"Edge computing is a new paradigm in which data are locally collected, aggregated and preprocessed before being sent to a Cloud platform. Edge devices, typically IoT objects, are characterized by limited computational capabilities, alongside high energy efficiency operations. In smart building or smart city applications, the overall amount of available IoT devices may account for an important computational capacity. Aggregating the idle CPU cycles of several devices would allow performing on-site parallel and distributed computing, while reusing the available resources in the network. Timely and important computational tasks such as video surveillance processing, HPC jobs, or deep neural network training, can be performed with local available resources. This includes local servers or a private, on-site cloud, as opposed to the use of public clouds, thus avoiding security issues and fostering energy efficiency. An ongoing research topic in such a distributed and volatile context is to design novel algorithms for resource provisioning that allow tasks to be distributed over a set of available IoT devices in an efficient manner. This work presents two online, adaptive and robust scheduling techniques, based on the UCB and EXP3 Multi-Armed Bandit algorithms (MABs), for resource management in Cloud-Edge Computing based environments while improving performance and reducing energy consumption. The novelty of our adapted algorithms lies in the fact that we explicitly account for unavailable computing IoT devices resulting in a time-varying available set of arms at each stage. Our numerical results show the high relevance of our approach in reaching optimal provisioning policies in time-varying environments.","PeriodicalId":263889,"journal":{"name":"2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126327495","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: 0

Message from the WAMCA 2022 Workshop General Chair WAMCA 2022研讨会主席致辞

2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW) Pub Date : 2022-11-01 DOI: 10.1109/sbac-padw56527.2022.00006

引用次数: 0

Homomorphic evaluation of large look-up tables for inference on human genome data in the cloud 云中人类基因组数据推断的大型查找表的同态评估

2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW) Pub Date : 2022-11-01 DOI: 10.1109/SBAC-PADW56527.2022.00015

A. Guimarães, Leonardo Neumann, F. Andalo, Diego F. Aranha, E. Borin

{"title":"Homomorphic evaluation of large look-up tables for inference on human genome data in the cloud","authors":"A. Guimarães, Leonardo Neumann, F. Andalo, Diego F. Aranha, E. Borin","doi":"10.1109/SBAC-PADW56527.2022.00015","DOIUrl":"https://doi.org/10.1109/SBAC-PADW56527.2022.00015","url":null,"abstract":"iDash is an annual competition for creating new solutions to tackle the challenges of securing human genome processing in untrusted environments, such as the public cloud. In this work, we propose and analyze a simple but efficient candidate for the homomorphic encryption track of iDash 2022. We focus on different approaches for optimizing its homomorphic evaluation without any loss of precision compared to its cleartext evaluation. We represent our data inference model as a single large look-up table (LUT), which we homomorphically evaluate without model-specific optimizations. In this way, our results represent not only the model we chose but all others that could be represented as a LUT of similar size. We employ three different approaches for encrypting data that trade-off large ciphertexts (and, thus, high demands for storage and IO) and computational performance. We evaluate our solutions in two cloud environments similar to the reference provided by the iDash competition. As a result, we not only show the practicability of our solution in the context of iDash but also provide key insights on the practical issues of employing popular homomorphic encryption techniques, such as LUT evaluation, in a real-world scenario.","PeriodicalId":263889,"journal":{"name":"2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128739024","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: 0

Edge Computing versus Cloud Computing: Impact on Retinal Image Pre-processing 边缘计算与云计算：对视网膜图像预处理的影响

2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW) Pub Date : 2022-11-01 DOI: 10.1109/SBAC-PADW56527.2022.00018

C. Künas, Dayla R. Pinto, L. Granville, M. Serpa, E. Padoin, P. Navaux

引用次数: 0

WCC 2022 Workshop Organization WCC 2022工作坊组织

2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW) Pub Date : 2022-11-01 DOI: 10.1109/sbac-padw56527.2022.00009

引用次数: 0

Towards a Federated Learning Framework on a Multi-Cloud Environment 多云环境下的联邦学习框架

2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW) Pub Date : 2022-11-01 DOI: 10.1109/SBAC-PADW56527.2022.00016

R. Brum, Pierre Sens, L. Arantes, Maria Clicia Stelling de Castro, Lúcia M. A. Drummond

{"title":"Towards a Federated Learning Framework on a Multi-Cloud Environment","authors":"R. Brum, Pierre Sens, L. Arantes, Maria Clicia Stelling de Castro, Lúcia M. A. Drummond","doi":"10.1109/SBAC-PADW56527.2022.00016","DOIUrl":"https://doi.org/10.1109/SBAC-PADW56527.2022.00016","url":null,"abstract":"This paper proposes Multi-FedLS, a Cross-silo Federated Learning (FL) framework for a multi-cloud environment aiming at minimizing financial cost as well as execution time. It comprises four modules: Pre-Scheduling, Initial Mapping, Fault Tolerance, and Dynamic Scheduler. Given an application and a multi-cloud environment, the Pre-Scheduling module runs experiments to obtain the expected execution times of the FL tasks and communication delays. The Initial Mapping module receives these computed values and provides a scheduling map for the server and clients’ VMs. Finally, Multi-FedLS deploys the selected VMs, starts the FL application, and monitors it. The Fault Tolerance (FT) module includes fault tolerance strategies in the FL application, such as checkpoint and replication, and detects some anomalous behaviors. In case of an unexpected increase in the communication delay or a VM failure, the FT module triggers the Dynamic Scheduler Module in order to select a new VM and resume the concerned tasks of the FL application. Some preliminary experiments are presented, confirming that some proposed strategies are crucial to efficiently execute an FL application on a multi-cloud environment.","PeriodicalId":263889,"journal":{"name":"2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129125810","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: 1