{"title":"因果顺序是严格的","authors":"Jeremiah James, S. Mukhopadhyay","doi":"10.1109/FTDCS.2008.33","DOIUrl":null,"url":null,"abstract":"The causal order is central to many algorithms in both the message-passing and shared memory models. In the message-passing model, the causal order is clearly a strict, or irreflexive partial, order. However, some shared memory models are defined without reference to time. In those models, the causal order can fail to be a strict order. Existing works have either declared that all non-strict orders are not causal, or assumed that the causal order is strict without proof. We prove that, under a small number of reasonable assumptions about systems, the causal order is strict. In particular, we assume neither a global time model nor that processes issue a single shared memory operation at a time.","PeriodicalId":414800,"journal":{"name":"2008 12th IEEE International Workshop on Future Trends of Distributed Computing Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Causal Order is Strict\",\"authors\":\"Jeremiah James, S. Mukhopadhyay\",\"doi\":\"10.1109/FTDCS.2008.33\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The causal order is central to many algorithms in both the message-passing and shared memory models. In the message-passing model, the causal order is clearly a strict, or irreflexive partial, order. However, some shared memory models are defined without reference to time. In those models, the causal order can fail to be a strict order. Existing works have either declared that all non-strict orders are not causal, or assumed that the causal order is strict without proof. We prove that, under a small number of reasonable assumptions about systems, the causal order is strict. In particular, we assume neither a global time model nor that processes issue a single shared memory operation at a time.\",\"PeriodicalId\":414800,\"journal\":{\"name\":\"2008 12th IEEE International Workshop on Future Trends of Distributed Computing Systems\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 12th IEEE International Workshop on Future Trends of Distributed Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FTDCS.2008.33\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 12th IEEE International Workshop on Future Trends of Distributed Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FTDCS.2008.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The causal order is central to many algorithms in both the message-passing and shared memory models. In the message-passing model, the causal order is clearly a strict, or irreflexive partial, order. However, some shared memory models are defined without reference to time. In those models, the causal order can fail to be a strict order. Existing works have either declared that all non-strict orders are not causal, or assumed that the causal order is strict without proof. We prove that, under a small number of reasonable assumptions about systems, the causal order is strict. In particular, we assume neither a global time model nor that processes issue a single shared memory operation at a time.