Sooraj Ravindrakumar, J. Vaishnavi, Jayakrishna Guddeti, Pankaj Moharikar
{"title":"Method to Generate Bus Stress Pattern Using iBUS(Infineon Bus Under Stress) framework","authors":"Sooraj Ravindrakumar, J. Vaishnavi, Jayakrishna Guddeti, Pankaj Moharikar","doi":"10.1109/MECO58584.2023.10154983","DOIUrl":null,"url":null,"abstract":"Infineon BUS Under Stress (iBUS) framework generates test scenarios for stressing various system buses and bridges inside a microcontroller. Randomization is the key approach behind iBUS. The framework is designed to be scalable, platform independent and forward compatible. Buses and Bridges enters into active state when the bus masters try to access the memories for transferring the data. A test scenario generated by iBUS enables all the BUS masters to perform parallel data transfers between various memories of the system in a purely randomized way. This framework ensures that there is no overlap of memories when accessed by different masters and also provides self-checking mechanism to verify data integrity. In this paper, we characterize the flexibility of iBUS as it can design task chains (sequences of memories handled by a master), calculation of randomized payload and assign random data lengths (based on memory type) in a single block transfer. This paper will also provide insight into how randomization will widen the range of the test coverage. As many are the tasks (transfer between a source and destination memory), that many are the possible combinations of bridges accessed inside the test. Framework provides various hooks to debug the failures and could be used in Robustness Validation, Power Cycling, Clock Shmoo and other silicon stress conditions.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO58584.2023.10154983","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Infineon BUS Under Stress (iBUS) framework generates test scenarios for stressing various system buses and bridges inside a microcontroller. Randomization is the key approach behind iBUS. The framework is designed to be scalable, platform independent and forward compatible. Buses and Bridges enters into active state when the bus masters try to access the memories for transferring the data. A test scenario generated by iBUS enables all the BUS masters to perform parallel data transfers between various memories of the system in a purely randomized way. This framework ensures that there is no overlap of memories when accessed by different masters and also provides self-checking mechanism to verify data integrity. In this paper, we characterize the flexibility of iBUS as it can design task chains (sequences of memories handled by a master), calculation of randomized payload and assign random data lengths (based on memory type) in a single block transfer. This paper will also provide insight into how randomization will widen the range of the test coverage. As many are the tasks (transfer between a source and destination memory), that many are the possible combinations of bridges accessed inside the test. Framework provides various hooks to debug the failures and could be used in Robustness Validation, Power Cycling, Clock Shmoo and other silicon stress conditions.
Infineon BUS Under Stress (iBUS)框架生成测试场景,用于对微控制器内的各种系统总线和桥接进行压力测试。随机化是iBUS背后的关键方法。该框架被设计为可扩展、平台独立和向前兼容的。当总线主机试图访问存储器以传输数据时,总线和桥进入活动状态。由iBUS生成的测试场景使所有BUS主机能够以完全随机的方式在系统的各种存储器之间执行并行数据传输。该框架确保了不同主机访问时内存不会重叠,并提供了自检机制来验证数据的完整性。在本文中,我们描述了iBUS的灵活性,因为它可以在单个块传输中设计任务链(由主机处理的存储器序列),随机有效载荷的计算和分配随机数据长度(基于存储器类型)。本文还将提供关于随机化如何扩大测试覆盖范围的见解。由于有许多任务(在源内存和目标内存之间进行传输),因此有许多任务是在测试中访问的桥的可能组合。框架提供了各种钩子来调试故障,可用于鲁棒性验证,功率循环,时钟Shmoo和其他硅应力条件。