{"title":"按时间顺序的垃圾收集的缓存性能","authors":"Yuping Ding, Xining Li","doi":"10.1109/CCECE.1998.682534","DOIUrl":null,"url":null,"abstract":"The paper presents the cache performance analysis of the Chronological Garbage Collection algorithm used in the LVM system. The LVM is a new Logic Virtual Machine for Prolog. It adopts one stack policy for all dynamic memory requirements and cooperates with an efficient garbage collection algorithm, Chronological Garbage Collection to recuperate space, not as deliberate garbage collection operation but as a natural activity of the LVM engine to gather useful objects. This algorithm takes advantages of the traditional copying, mark-compact, generational, and incremental garbage collection schemes. In order to determine the improvement of cache performance under our garbage collection algorithm, we developed an emulator to do the trace driven cache simulation. Direct mapped cache and set-associative cache with different cache sizes, block sizes and set associativities are simulated and measured. The objectives of this simulation are to verify and validate our experimental results, and to find important factors which influence the performance of the CGC algorithm.","PeriodicalId":177613,"journal":{"name":"Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341)","volume":"292 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Cache performance of chronological garbage collection\",\"authors\":\"Yuping Ding, Xining Li\",\"doi\":\"10.1109/CCECE.1998.682534\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents the cache performance analysis of the Chronological Garbage Collection algorithm used in the LVM system. The LVM is a new Logic Virtual Machine for Prolog. It adopts one stack policy for all dynamic memory requirements and cooperates with an efficient garbage collection algorithm, Chronological Garbage Collection to recuperate space, not as deliberate garbage collection operation but as a natural activity of the LVM engine to gather useful objects. This algorithm takes advantages of the traditional copying, mark-compact, generational, and incremental garbage collection schemes. In order to determine the improvement of cache performance under our garbage collection algorithm, we developed an emulator to do the trace driven cache simulation. Direct mapped cache and set-associative cache with different cache sizes, block sizes and set associativities are simulated and measured. The objectives of this simulation are to verify and validate our experimental results, and to find important factors which influence the performance of the CGC algorithm.\",\"PeriodicalId\":177613,\"journal\":{\"name\":\"Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341)\",\"volume\":\"292 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCECE.1998.682534\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.1998.682534","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cache performance of chronological garbage collection
The paper presents the cache performance analysis of the Chronological Garbage Collection algorithm used in the LVM system. The LVM is a new Logic Virtual Machine for Prolog. It adopts one stack policy for all dynamic memory requirements and cooperates with an efficient garbage collection algorithm, Chronological Garbage Collection to recuperate space, not as deliberate garbage collection operation but as a natural activity of the LVM engine to gather useful objects. This algorithm takes advantages of the traditional copying, mark-compact, generational, and incremental garbage collection schemes. In order to determine the improvement of cache performance under our garbage collection algorithm, we developed an emulator to do the trace driven cache simulation. Direct mapped cache and set-associative cache with different cache sizes, block sizes and set associativities are simulated and measured. The objectives of this simulation are to verify and validate our experimental results, and to find important factors which influence the performance of the CGC algorithm.