{"title":"Driving the Core Frontend With LiteBTB","authors":"Roman K. Brunner;Rakesh Kumar","doi":"10.1109/LCA.2026.3663702","DOIUrl":null,"url":null,"abstract":"Branch target buffer (BTB) is a central component of high performance core front-ends as it not only steers instruction fetch by uncovering upcoming control flow but also enables highly effective fetch-directed instruction prefetching. However, the massive instruction footprints of modern server applications far exceed the capacities of moderately sized BTBs, resulting in frequent misses that inevitably hurt performance. While commercial CPUs deploy large BTBs to mitigate this problem, they incur high storage and area overheads. Prior efforts to reduce BTB storage have primarily targeted branch targets, which has proven highly effective — so much that the tag storage now dominates the BTB storage budget. We make a key observation that BTBs exhibit a large degree of tag redundancy, i.e. only a small fraction of entries contain unique tags, and this fraction falls sharply as BTB capacity grows. Leveraging this insight, we propose LiteBTB, which employs a dedicated hardware structure to store unique tags only once and replaces per-entry tags in BTB with compact tag pointers. To avoid latency overheads, LiteBTB accesses the tag storage and BTB in parallel. Our evaluation shows that LiteBTB reduces storage by up to 13.1% compared to the state-of-the-art BTB design, called BTB-X, while maintaining equivalent performance. Alternatively, with the same storage budget, LiteBTB accommodates up to 1.125× more branches, yielding up to 2.7% performance improvement.","PeriodicalId":51248,"journal":{"name":"IEEE Computer Architecture Letters","volume":"25 1","pages":"57-60"},"PeriodicalIF":2.0000,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Computer Architecture Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11391652/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
Branch target buffer (BTB) is a central component of high performance core front-ends as it not only steers instruction fetch by uncovering upcoming control flow but also enables highly effective fetch-directed instruction prefetching. However, the massive instruction footprints of modern server applications far exceed the capacities of moderately sized BTBs, resulting in frequent misses that inevitably hurt performance. While commercial CPUs deploy large BTBs to mitigate this problem, they incur high storage and area overheads. Prior efforts to reduce BTB storage have primarily targeted branch targets, which has proven highly effective — so much that the tag storage now dominates the BTB storage budget. We make a key observation that BTBs exhibit a large degree of tag redundancy, i.e. only a small fraction of entries contain unique tags, and this fraction falls sharply as BTB capacity grows. Leveraging this insight, we propose LiteBTB, which employs a dedicated hardware structure to store unique tags only once and replaces per-entry tags in BTB with compact tag pointers. To avoid latency overheads, LiteBTB accesses the tag storage and BTB in parallel. Our evaluation shows that LiteBTB reduces storage by up to 13.1% compared to the state-of-the-art BTB design, called BTB-X, while maintaining equivalent performance. Alternatively, with the same storage budget, LiteBTB accommodates up to 1.125× more branches, yielding up to 2.7% performance improvement.
期刊介绍:
IEEE Computer Architecture Letters is a rigorously peer-reviewed forum for publishing early, high-impact results in the areas of uni- and multiprocessor computer systems, computer architecture, microarchitecture, workload characterization, performance evaluation and simulation techniques, and power-aware computing. Submissions are welcomed on any topic in computer architecture, especially but not limited to: microprocessor and multiprocessor systems, microarchitecture and ILP processors, workload characterization, performance evaluation and simulation techniques, compiler-hardware and operating system-hardware interactions, interconnect architectures, memory and cache systems, power and thermal issues at the architecture level, I/O architectures and techniques, independent validation of previously published results, analysis of unsuccessful techniques, domain-specific processor architectures (e.g., embedded, graphics, network, etc.), real-time and high-availability architectures, reconfigurable systems.