{"title":"Half Title Page","authors":"","doi":"10.1109/ipdrm56689.2022.00001","DOIUrl":"https://doi.org/10.1109/ipdrm56689.2022.00001","url":null,"abstract":"","PeriodicalId":324473,"journal":{"name":"2022 IEEE/ACM Fifth Annual Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware (IPDRM)","volume":"22 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":"125906886","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}
{"title":"Message from the IPDRM 22 Workshop Chairs","authors":"","doi":"10.1109/ipdrm56689.2022.00004","DOIUrl":"https://doi.org/10.1109/ipdrm56689.2022.00004","url":null,"abstract":"","PeriodicalId":324473,"journal":{"name":"2022 IEEE/ACM Fifth Annual Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware (IPDRM)","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":"131080841","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}
Cassandra Rocha Barbosa, Pierre Lemarinier, Guillaume Papauré, Marc Pérache, M. Krajecki
{"title":"SABO: Dynamic MPI+OpenMP Resource Balancer","authors":"Cassandra Rocha Barbosa, Pierre Lemarinier, Guillaume Papauré, Marc Pérache, M. Krajecki","doi":"10.1109/IPDRM56689.2022.00006","DOIUrl":"https://doi.org/10.1109/IPDRM56689.2022.00006","url":null,"abstract":"Scientific parallel applications often use MPI for inter-node communications and OpenMP for intra-node orches-tration. Parallel applications such as particle transport, seismic wave propagation simulator, or Finite-Element applications often exhibit workload imbalance due to their nature of ongoing data movement. These applications usually develop software balancing strategies triggered when some imbalance thresholds are detected to reduce this imbalance. These developments are complex to implement and impact the entire distributed applications' performance by synchronizing and exchanging the load over the network. This paper proposes a method to dynamically detect load imbalance and balance the computation by redistributing OpenMP threads between MPI processes local to the node. With minimal impact on the applications' codes, we demonstrate how this technique can improve the overall applications' performance up to 28% on MiniFE, 17 % on Quicksilver, and 3 % on Ondes3D. We also present its impact when executing multiple nodes and our proposed approach's limitations.","PeriodicalId":324473,"journal":{"name":"2022 IEEE/ACM Fifth Annual Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware (IPDRM)","volume":"45 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":"127160008","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}
{"title":"LEC-PR: Proactive Recovery Method in Erasure-Coded Storage","authors":"Ying Song, Mingjie Yang, Bo Wang","doi":"10.1109/IPDRM56689.2022.00007","DOIUrl":"https://doi.org/10.1109/IPDRM56689.2022.00007","url":null,"abstract":"Erasure-coded storage is widely used to reduce the data redundancy and improve the reliability of the storage system compared to replication storage. The traditional approach to fault recovery research relies mostly on passive recovery, which occurs when data loss is detected. But passive recovery reduces the system's reliability. At present, machine learning methods can accurately predict soon-to-fail (STF) disks. Based on successfully predicted disk failures, we propose a method to proactively recover data in disks by using local erasure coding within nodes, called LEC-PR (Local EC Proactive Recovery). By migrating and recovering the data in advance, the reliability of the data can be improved. LEC-PR reduces cross-node recovery times and cross-node traffic during proactive data recovery by encoding part of the data blocks inside each node into parity blocks, which are placed in other nodes. As compared to the existing method, LEC-PR can reduce cross-node traffic by 35% and shorten recovery time by up to 69%.","PeriodicalId":324473,"journal":{"name":"2022 IEEE/ACM Fifth Annual Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware (IPDRM)","volume":"21 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":"125106964","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}
{"title":"IPDRM 22 Workshop Organization","authors":"","doi":"10.1109/ipdrm56689.2022.00005","DOIUrl":"https://doi.org/10.1109/ipdrm56689.2022.00005","url":null,"abstract":"","PeriodicalId":324473,"journal":{"name":"2022 IEEE/ACM Fifth Annual Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware (IPDRM)","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":"130078593","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}
{"title":"Petri Nets for Concurrent Programming","authors":"Marshall Rawson, Michael Rawson","doi":"10.1109/IPDRM56689.2022.00008","DOIUrl":"https://doi.org/10.1109/IPDRM56689.2022.00008","url":null,"abstract":"Concurrent programming is used in all large and complex computer systems. However, concurrency errors and system failures (ex: crashes and deadlocks) are common. We find that Petri nets can be used to model concurrent systems and find and remove errors ahead of time. We introduce a novel generalization of Petri nets with nondeterministic transition nodes to match real systems. These allow for a compact way to construct, optimize, and prove computer programs at the concurrency level. Petri net programs can also be optimized by automatically solving for maximal concurrency, where the maximum number of valid threads is determined by the structure of the Petri net prior to execution. We discuss an algorithm to compute the state graph of a given Petri net start state pair. We introduce our open source software framework1 which implements this theory as a general purpose concurrency focused middle-ware.","PeriodicalId":324473,"journal":{"name":"2022 IEEE/ACM Fifth Annual Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware (IPDRM)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121545791","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}