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Parrot (virtual machine)

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Parrot (virtual machine)
NameParrot
DeveloperPerl Foundation, Parrot Foundation, Larry Wall
Released2001
Latest release2011
Programming languageC (programming language), Assembly language
Operating systemLinux, FreeBSD, NetBSD, OpenBSD, Microsoft Windows, macOS
Platformx86, x86-64, ARM
LicenseArtistic License, GNU General Public License

Parrot (virtual machine) Parrot was a register-based virtual machine designed to execute dynamic languages and to act as a compilation target for high-level language implementations. It aimed to provide a common runtime for languages such as Perl, Python (programming language), Ruby (programming language), Tcl (software), and JavaScript while interfacing with systems like SQLite, Apache HTTP Server, GDB, and LLVM. Initial work occurred within the context of the Perl 6 effort and collaborations among contributors from projects including CPAN, Debian, Red Hat, Free Software Foundation, and the Open Source Initiative.

History

Parrot originated in the early 2000s as part of the Perl 6 redesign efforts led by figures such as Larry Wall and developers active on lists associated with The Perl Foundation and PerlMonks. Early development involved contributors connected to Jesse Vincent, Chromatic (software developer), and groups attending conferences like YAPC, OSC, FOSDEM, and O’Reilly Perl Conference. The project drew design influence from virtual machines such as Parrot's predecessors in the lineage of Common Lisp, Smalltalk, Java Virtual Machine, and Z Machine efforts, with community coordination hosted on platforms related to SourceForge, GitHub, and RT (request tracker). Over its lifetime Parrot interacted with toolchains and standards from ISO, ECMA International, W3C, and interoperability discussions involving GNU Compiler Collection and LLVM Project participants.

Design and Architecture

Parrot's architecture emphasized a register-based bytecode engine influenced by designs in V8 (JavaScript engine), JVM, and CLR (Common Language Runtime). The core implemented features to support dynamic typing, method dispatch, continuations, and exception handling with subsystems analogous to Garbage collection frameworks used by CPython, JRuby, and Mono (software). Parrot integrated a runtime environment intended to interoperate with system interfaces like POSIX, Win32, and Mach (kernel), and with build systems such as Autotools, CMake, and Make (software). The project produced tools for bootstrapping language front ends, bytecode emitters, and adapters to libraries from ecosystems such as Perl 5, CPAN, Python Package Index, and RubyGems.

Instruction Set and Register Model

Parrot implemented a hybrid instruction set with native ops inspired by x86 and ARM semantics and higher-level primitives resembling PVM (Portable Virtual Machine) proposals. The register model supported multiple register classes for integers, floats, strings, and objects mirroring abstractions used in LLVM IR and influenced by calling conventions discussed at ACM SIGPLAN conferences. Parrot bytecode included ops for lexical scopes, continuations, iterators, coroutines, and closures comparable to constructs in Scheme, Haskell, Lua (programming language), and Erlang. It exposed an assembly-like textual representation used by developers experienced with GNU Assembler and NASM.

Language Support and Implementations

Parrot hosted front ends and implementations for languages including Perl, Python (programming language), Ruby (programming language), Tcl (software), PHP, and experimental ports of Lua (programming language), JavaScript, and Scheme. Implementations such as those emerging from Rakudo Perl 6 efforts, contributor projects on GitHub, and student work showcased cross-compilation approaches and bindings to native libraries like libxml2, OpenSSL, GTK+, and SQLite. The ecosystem encompassed interoperability tooling familiar to contributors from CPAN, PyPI, and RubyGems ecosystems and integrated debugging hooks compatible with GDB and tracing utilities used with Valgrind.

Performance and Optimization

Performance efforts addressed register allocation, JIT compilation strategies, and garbage collection tuning drawing on research from ACM SIGPLAN papers and implementations in V8 (JavaScript engine), HotSpot (virtual machine), and LLVM Project. Optimizations included inline caching, tail-call elimination, escape analysis, and specialized math kernels comparable to techniques in CPython accelerators and PyPy projects. Profiling and benchmarking relied on suites and tools from SPEC, Phoronix Test Suite, and perf utilities used across Linux distributions like Debian and Fedora.

Development, Community, and Governance

Development was coordinated through organizations such as The Perl Foundation, the Parrot Foundation, and collaborative venues including IRC, mailing lists archived on Mailman, and repositories migrated between SourceForge and GitHub. Governance involved maintainers, committers, and contributors drawn from corporate and academic partners like IBM, Google, Yahoo!, Mozilla Foundation, and research labs at MIT and University of California, Berkeley. The community participated in events like YAPC, FOSDEM, OSCON, and Perl Workshop and maintained discussions around licensing choices with stakeholders including the Free Software Foundation.

Legacy and Influence

Although active core development decreased, Parrot influenced later virtual machine work and language implementation strategies seen in projects like MoarVM, Rakudo, PyPy, JRuby, Truffle (language implementation framework), and the LLVM Project. Concepts from Parrot contributed to discourse at conferences such as ACM SIGPLAN, PLDI, OOPSLA, and informed tooling integrations across Perl 6 (now Raku (programming language)), Python, and Ruby communities. Its source and ideas remain referenced in archives maintained by organizations like The Perl Foundation and mirrored in repositories hosted by GitHub and Internet Archive.

Category:Virtual machines