Dynamic Language Runtime

Dynamic Language Runtime
Name	Dynamic Language Runtime
Developer	Microsoft
Released	2007
Latest release	1.0 (initial)
Platform	Common Language Infrastructure
Written in	C#
License	Microsoft Public License (Ms-PL)

Dynamic Language Runtime The Dynamic Language Runtime is a runtime environment developed to host dynamic languages on the Common Language Infrastructure and to interoperate with the Microsoft .NET Framework. It provides language services, dynamic dispatch, and binding infrastructure to enable implementations of languages such as Python, Ruby, JavaScript, and experimental languages to run on Microsoft platforms and integrate with libraries from Mono and .NET Framework. The project originated from research and engineering teams associated with products and initiatives like Microsoft Research, IronPython, IronRuby, and language work recorded around the time of products such as Visual Studio.

Overview

The DLR emerged from efforts within Microsoft Research and engineering groups tied to Microsoft to extend the Common Language Runtime for dynamic language semantics, influenced by academic work at institutions such as Massachusetts Institute of Technology, Stanford University, and University of Cambridge. Early community and industry interest connected to implementations like IronPython and IronRuby, and to interoperability goals with platforms and projects including Mono (software), Silverlight, and tooling in Visual Studio. Corporate and community stakeholders such as 微软-affiliated teams, contributors from GitHub, and language designers who worked on Python and Ruby influenced its direction. The DLR's objectives paralleled initiatives in language runtime research exemplified by JVM-centric projects, Dynamic Language Support efforts, and language design discussions at conferences like OOPSLA and ICFP.

Architecture

The DLR architecture builds on the Common Language Infrastructure and the Common Language Runtime model used in .NET Framework and .NET Core efforts. Core components include a binding and call site cache inspired by designs used in Java Virtual Machine, a dynamic dispatch system for method invocation, an expression tree system for code generation similar to facilities in Lisp macro systems and influenced by work from Microsoft Research teams. The runtime exposes services for dynamic code generation, runtime hosting, and interop with static languages such as C# and Visual Basic .NET. The DLR uses expression trees and dynamic call sites to implement features comparable to those in implementations like JRuby on the JVM and to techniques described in academic papers from groups at Carnegie Mellon University and University of California, Berkeley.

Supported Languages and Implementations

Primary implementations that used the DLR include IronPython and IronRuby, which enabled integration with .NET Framework and Mono (software). Experimental and research language ports and projects included variants of JavaScript and prototypes developed in collaboration with teams at Microsoft Research and via community contributions on GitHub. Language implementers from communities around Python Software Foundation, contributors to Ruby MRI, and authors of projects like Jython observed the DLR as one approach among others such as the JVM-based implementations and language work in GraalVM. Commercial and academic adopters compared DLR-hosted implementations with alternatives in environments like Oracle research and runtime engineering groups, and with tooling from companies such as Red Hat and Canonical that support Mono (software).

Performance and Optimization

Performance considerations for the DLR focused on dynamic dispatch overhead, call site caching, and just-in-time code generation. Optimization techniques leveraged by the DLR echo strategies used by teams working on V8 (JavaScript engine), HotSpot in the OpenJDK community, and research from Microsoft Research on trace-based JITs. The DLR employed inline caching, adaptive recompilation, and expression tree optimizations to reduce invocation costs and to integrate with the GC and threading models of the CLR used in .NET Framework and Mono (software). Benchmarks and comparative studies by academics at University of Cambridge and engineers from Microsoft and Oracle examined trade-offs versus implementations on the JVM and native interpreters used in projects like CPython.

Tooling and Integration

Tooling around the DLR included language services for Visual Studio, debugging integration, and interactive shells inspired by REPL traditions from projects such as Emacs and IPython. Integration points enabled calling into libraries authored in C# and F#, and access to platform services on Windows and cross-platform efforts supported by Mono (software)]. Community collaboration on GitHub produced extensions, packaging tools, and interoperability libraries. Commercial products and research tools from organizations like Microsoft Research, contributors from the Python Software Foundation, and companies with investments in .NET Framework ecosystems incorporated DLR-hosted languages into enterprise tooling and academic experiments showcased at conferences such as PyCon and RubyConf.

Security and Sandboxing

Security and sandboxing models for DLR-hosted languages relied on the underlying Common Language Runtime security mechanisms, code access security concepts debated within Microsoft and the broader community, and isolation techniques analogous to those used by projects like AppDomains and containerization practices explored by organizations such as Docker, Inc.. Discussions around safe execution and partial-trust hosting involved contributors from Microsoft Research, maintainers of IronPython and IronRuby, and security researchers presenting findings at venues like USENIX and Black Hat. The DLR's ability to interoperate with managed code raised considerations addressed by teams working on .NET Framework security, the Security Development Lifecycle at Microsoft, and community audits facilitated through platforms like GitHub.

Category:Programming language implementation