Architectural Support for Software-Defined Metadata Processing
Architectural Support for Software-Defined Metadata Processing
复制标题
软件定义元数据处理的架构支持
DOI:
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发表时间:
2015
期刊:
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通讯作者:
A. DeHon
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作者:
Udit Dhawan;Cătălin Hriţcu;Raphael Rubin;N. Vasilakis;S. Chiricescu;Jonathan M. Smith;T. Knight;B. Pierce;A. DeHon
Optimized hardware for propagating and checking software-programmable metadata tags can achieve low runtime overhead. We generalize prior work on hardware tagging by considering a generic architecture that supports software-defined policies over metadata of arbitrary size and complexity; we introduce several novel microarchitectural optimizations that keep the overhead of this rich processing low. Our model thus achieves the efficiency of previous hardware-based approaches with the flexibility of the software-based ones. We demonstrate this by using it to enforce four diverse safety and security policies---spatial and temporal memory safety, taint tracking, control-flow integrity, and code and data separation---plus a composite policy that enforces all of them simultaneously. Experiments on SPEC CPU2006 benchmarks with a PUMP-enhanced RISC processor show modest impact on runtime (typically under 10%) and power ceiling (less than 10%), in return for some increase in energy usage (typically under 60%) and area for on-chip memory structures (110%).