Giter Club home page Giter Club logo

kami's Introduction

Kami — A Coq-based DSL for specifying and proving hardware designs

What is Kami?

Kami is an umbrella term used to denote the following: . A Coq-based DSL for writing hardware designs . A compiler for translating said hardware designs into Verilog . A simulator for said hardware designs, by generating an executable in Haskell, using user-defined functions to drive inputs and examine outputs for the hardware design . A formal definition of the semantics of the DSL in Coq, including a definition of whether one design implements another simpler design, i.e. whether an implementation adheres to its specification . A set of theorems or properties about said semantics, formally proven in Coq . A set of tactics for formally proving that an implementation adhere to its specification

In Kami, one can write generators, i.e. functions that generate hardware when its parameters are specified, and can prove that the generators are correct with respect to their specification. Unlike traditional model-checking based approaches, the ability to prove theorems involving higher-order logic in Coq enables one to easily prove equivalence between a generator and its specification.

The semantics of Kami was inspired by Bluespec SystemVerilog. The original version of Kami was developed in MIT. Based on the experience of developing and using Kami at MIT, it was rewritten at SiFive to make it practical to build provably correct chips.

Semantics of Kami: an informal overview

Any hardware block or module is written as a set of registers representing the state of the block, and a set of rules. The behavior of the module is represented by a sequence of execution of rules. Rules execute by reading and writing the state atomically, i.e. when one rule is executing, no other rule executes. During its execution, a rule can also interact with the external world by calling methods, to which the rule supplies arguments (an output from the module), and takes back the result returned by the external world (an input to the module). Once a rule finishes execution, another rule is picked non-deterministically and is executed, and so on.

A module A is said to implement a specification module B if, during every rule execution in A, if the rule calls any methods, then these methods (along with their arguments and return values) are the same as those called by some rule execution in B, and this property holds for every sequence of rule executions in A. Note that the return values are functions of the external world; we assume that the same value can be returned by the external world if the same method is called with the same argument in both A and B. The methods along with their arguments and return values that are called in a rule’s execution are called a label, and the sequence of labels corresponding to the sequence of rule execution is called a trace. The above definition of A implementing B can be rephrased as follows: any trace that can be produced by A can also be produced by B. We call this property TraceInclusion.

While the above semantics cover most of the behavior of Kami modules, it is not complete. We will be discussing the last bit of the semantics towards the end of this article.

Syntax of Kami

The syntax of Kami is designed to simply provide a way to represent a set of registers (with optional initial values), and a set of rules. The rules are written as actions which read or write registers, call methods, deal with predicates (i.e. if then else), etc. The module exampleModule in SyntaxEx.v shows an example featuring all the syntactic components involved in writing a module, including writing every possible expression, action, register initialization and rule. The comments in the file give an informal specification of what each syntactic construct does.

Notice that actions and let-expressions are essentially are ASTs written in Gallina. So, one can construct these actions or let-expressions separately as Gallina terms without having to be inside a Kami module. This way, one can write generators that produce actions or let-expressions that can be composed in multiple ways into a module. GallinaActionEx.v shows how to write such Gallina terms. Notice the use of a strange parameter ty: Kind → Type. This is used to get parametric ASTs that allow us to use the same AST for synthesizing circuits as well as for proofs. Read a tiny example, PhoasEx.v and Parametric Higher Order Abstract Syntax (PHOAS) paper to understand what PHOAS means. While understanding PHOAS is useful, one need not understand the concepts to build actions and let-expressions in Kami. Instead, one can view supplying ty: Kind → Types as boiler plate code, and write types for expressions as k @# ty, let-expressions as k ## ty and actions as ActionT ty k (k represents the Kami type represented by these entities).

Proving implementations using Kami

TacticsEx.v showcases how some of the Coq tactics developed in the Kami framework can be used to simplify the proof of TraceInclusion between two modules. The documentation for this is work in progress.

kami's People

Contributors

andres-erbsen-sifive avatar denniskupec avatar felixonmars avatar gliptak avatar jaykru avatar kendroe avatar llee454 avatar palindromeleung avatar pedrotst avatar rscy avatar sifive-emarzion avatar tjmach avatar vmurali avatar xuanruiqi avatar

Stargazers

 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.