ShadowBinding: Realizing Effective Microarchitectures for In-Core Secure Speculation Schemes

Secure speculation schemes have shown great promise in the war against speculative side-channel attacks and will be a key building block for developing secure, high-performance architectures moving forward. As the field matures, the need for rigorous microarchitectures, and corresponding performance and cost analysis, become critical for evaluating secure schemes and for enabling their future adoption.In ShadowBinding, we present effective microarchitectures for two state-of-the-art secure schemes, uncovering and mitigating fundamental microarchitectural limitations within the analyzed schemes, and providing important design characteristics. We uncover that Speculative Taint Tracking's (STT's) rename-based taint computation must be completed in a single cycle, creating an expensive dependency chain that limits performance for wider processor cores. We also introduce a novel microarchitectural approach for STT, named STT-Issue, which, by delaying the taint computation to the issue stage, eliminates the dependency chain, achieving better instructions per cycle (IPC), timing, area, and performance results.Through a comprehensive evaluation of our STT and Non-Speculative Data Access (NDA) microarchitectural designs on the RISC-V Berkeley Out-of-Order Machine, we find that the IPC impact of in-core secure schemes is higher than previously estimated, close to 20% for the highest performance core. With insights into timing from our RTL evaluation, the performance loss, created by the combined impact of IPC and timing, becomes even greater, at 35%, 27%, and 22% for STT-Rename, STT-Issue, and NDA, respectively. If these trends were to hold for leading processor core designs, the performance impact would be well over 30%, even for the best-performing scheme.Through these findings, research sentiments that Spectre can be solved by in-core secure schemes at low-performance costs are challenged. ShadowBinding serves as a call to arms for a more in-depth evaluation of secure speculation schemes and further work on in-core methods and optimizations, which can help mitigate the high performance cost of current state-of-the-art schemes without requiring extensive and expensive modifications.