Modelling the ARMv8 Architecture, Operationally: Concurrency and ISA
In this paper we develop semantics for key aspects of the ARMv8 multiprocessor architecture: the concurrency model and much of the 64-bit application-level instruction set (ISA). Our goal is to clarify what the range of architecturally allowable behaviour is, and thereby to support future work on formal verification, analysis, and testing of concurrent ARM software and hardware.
Establishing such models with high confidence is intrinsically difficult: it involves capturing the vendor’s architectural intent, aspects of which (especially for concurrency) have not previously been precisely defined. We therefore first develop a concurrency model with a microarchitectural flavour, abstracting from many hardware implementation concerns but still close to hardware-designer intuition. This means it can be discussed in detail with ARM architects. We then develop a more abstract model, better suited for use as an architectural specification, which we prove sound w.r.t.~the first.
The instruction semantics involves further difficulties, handling the mass of detail and the subtle intensional information required to interface to the concurrency model. We have a novel ISA description language, with a lightweight dependent type system, letting us do both with a rather direct represention of the ARM reference manual instruction descriptions.
We build a tool from the combined semantics that lets one explore, either interactively or exhaustively, the full range of architecturally allowed behaviour, for litmus tests and (small) ELF executables. We prove correctness of some optimisations needed for tool performance.
We validate the models by discussion with ARM staff, and by comparison against ARM hardware behaviour, for ISA single- instruction tests and concurrent litmus tests.
Fri 22 JanDisplayed time zone: Guadalajara, Mexico City, Monterrey change
10:30 - 12:10
|Modelling the ARMv8 Architecture, Operationally: Concurrency and ISA|
Shaked Flur University of Cambridge, Kathryn E. Gray University of Cambridge, Christopher Pulte University of Cambridge, Susmit Sarkar University of St Andrews, Luc Maranget INRIA Rocquencourt, Ali Sezgin University of Cambridge, Will Deacon ARM Ltd., Peter Sewell University of CambridgeMedia Attached File Attached
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