{"title":"Robust Real-Time Multiprocessor Interrupt Handling Motivated by GPUs","authors":"Glenn A. Elliott, James H. Anderson","doi":"10.1109/ECRTS.2012.20","DOIUrl":null,"url":null,"abstract":"Architectures in which multicore chips are augmented with graphics processing units (GPUs) have great potential in many domains in which computationally intensive real-time workloads must be supported. However, unlike standard CPUs, GPUs are treated as I/O devices and require the use of interrupts to facilitate communication with CPUs. Given their disruptive nature, interrupts must be dealt with carefully in real-time systems. With GPU-driven interrupts, such disruptiveness is further compounded by the closed-source nature of GPU drivers. In this paper, such problems are considered and a solution is presented in the form of an extension to LITMUS^RT called klmirqd. The design of klmirqd targets systems with multiple CPUs and GPUs. In such settings, interrupt-related issues arise that have not been previously addressed.","PeriodicalId":425794,"journal":{"name":"2012 24th Euromicro Conference on Real-Time Systems","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 24th Euromicro Conference on Real-Time Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECRTS.2012.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 37
Abstract
Architectures in which multicore chips are augmented with graphics processing units (GPUs) have great potential in many domains in which computationally intensive real-time workloads must be supported. However, unlike standard CPUs, GPUs are treated as I/O devices and require the use of interrupts to facilitate communication with CPUs. Given their disruptive nature, interrupts must be dealt with carefully in real-time systems. With GPU-driven interrupts, such disruptiveness is further compounded by the closed-source nature of GPU drivers. In this paper, such problems are considered and a solution is presented in the form of an extension to LITMUS^RT called klmirqd. The design of klmirqd targets systems with multiple CPUs and GPUs. In such settings, interrupt-related issues arise that have not been previously addressed.