Automatic formal verification of liveness for pipelined processors with multicycle functional units

Abstract. Presented is a highly automatic approach for proving bounded liveness of pipelined processors with multicycle functional units, without the need for the user to set up an inductive argument. Multicycle functional units are abstracted with a placeholder that is suitable for proving both safety and liveness. Abstracting the branch targets and directions with arbitrary terms and formulas, respectively, that are associated with each instruction, made the branch targets and directions independent of the data operands. The observation that the term variables abstracting branch targets of newly fetched instructions can be considered to be in the same equivalence class, allowed the use of a dedicated fresh term variable for all such branch targets and the abstraction of the Instruction Memory with a generator of arbitrary values. To further improve the scaling, the multicycle ALU was abstracted with a placeholder without feedback loops. Also, the equality comparison between the terms written to the PC and the dedicated fresh term variable for branch targets of new instructions was implemented as part of the circuit, thus avoiding the need to apply the abstraction function along the specification side of the commutative diagram for liveness. This approach resulted in 4 orders of magnitude speedup for a 5-stage pipelined DLX processor with a 32-cycle ALU, compared to a previous method for indirect proof of bounded liveness, and scaled for a 5-stage pipelined DLX with a 2048-cycle ALU. Introduction Previous work on microprocessor formal verification has almost exclusively addressed the proof of safety-that if a processor does something during a step, it will do it correctly-as also observed in In the current paper, the implementation and specification are described in the highlevel hardware description language HD

Arrows for knowledge-based circuits

Knowledge-based programs (KBPs) are a formalism for directly relating agents' knowledge and behaviour in a way that has proven useful for specifying distributed systems. Here we present a scheme for compiling KBPs to executable automata in finite environments with a proof of correctness in Isabelle/HOL. We use Arrows, a functional programming abstraction, to structure a prototype domain-specific synchronous language embedded in Haskell. By adapting our compilation scheme to use symbolic representations we can apply it to several examples of reasonable size