Multi-Language Edit-and-Continue for the Masses

We present an Edit-and-Continue implementation that allows regular source files to be treated like interactively updatable, compiled scripts, coupling the speed of compiled native machine code, with the ability to make changes without restarting. Our implementa-tion is based on the Microsoft .NET Framework and allows applications written in any .NET language to be dynamically updatable. Our solution works with the standard version of the Microsoft Common Language Runtime, and does not require a custom compiler or runtime. Because no application changes are needed, it is transparent to the application developer. The runtime overhead of our implementation is low enough to support updating real-time applications (e.g., interactive 3D graphics applications)

Multi-Language Edit-and-Continue for the Masses

We present an Edit-and-Continue implementation that allows regular source files to be treated like interactively updatable, compiled scripts, coupling the speed of compiled native machine code, with the ability to make changes without restarting. Our implementa-tion is based on the Microsoft .NET Framework and allows applications written in any .NET language to be dynamically updatable. Our solution works with the standard version of the Microsoft Common Language Runtime, and does not require a custom compiler or runtime. Because no application changes are needed, it is transparent to the application developer. The runtime overhead of our implementation is low enough to support updating real-time applications (e.g., interactive 3D graphics applications)

Draining the Swamp: Micro Virtual Machines as Solid Foundation for Language Development

Many of today\u27s programming languages are broken. Poor performance, lack of features and hard-to-reason-about semantics can cost dearly in software maintenance and inefficient execution. The problem is only getting worse with programming languages proliferating and hardware becoming more complicated. An important reason for this brokenness is that much of language design is implementation-driven. The difficulties in implementation and insufficient understanding of concepts bake bad designs into the language itself. Concurrency, architectural details and garbage collection are three fundamental concerns that contribute much to the complexities of implementing managed languages. We propose the micro virtual machine, a thin abstraction designed specifically to relieve implementers of managed languages of the most fundamental implementation challenges that currently impede good design. The micro virtual machine targets abstractions over memory (garbage collection), architecture (compiler backend), and concurrency. We motivate the micro virtual machine and give an account of the design and initial experience of a concrete instance, which we call Mu, built over a two year period. Our goal is to remove an important barrier to performant and semantically sound managed language design and implementation

Optimizing JavaScript Engines for Modern-day Workloads

In modern times, we have seen tremendous increase in popularity and usage of web-based applications. Applications such as presentation softwareand word processors, which were traditionally considered desktop applications are being ported to the web by compiling them to JavaScript. Since JavaScript is the de facto language of the web, JavaScript engine performance significantly affects the overall web application experience. JavaScript, initially intended solely as a client-side scripting language for web browsers, is now being used to implement server-side web applications (node.js) that traditionally have been written in languages like Java. Web application developers expect "C"-like performance out of their applications. Thus, there is a need to reevaluate the optimization strategies implemented in the modern day engines.Thesis statement: I propose that by using run-time and ahead-of-time profiling and type specialization techniques it is possible to improve the performance of JavaScript engines to cater to the needs of modern-day workloads.In this dissertation, we present an improved synergistic type specialization strategy for optimized JavaScript code execution, implemented on top of a research JavaScript engine called MuscalietJS. Our technique combines type feedback and type inference to reinforce and augment each other in a unique way. We then present a novel deoptimization strategy that enables type specialized code generation on top of typed, stack-based virtual machines like CLR. We also describe a server-side offline profiling technique to collect profile information for web application which helps client JavaScript engines (running in the browser) avoid deoptimizations and improve performance of the applications. Finally, we describe a technique to improve the performance of server-side JavaScript code by making use of intelligent profile caching and two new type stability heuristics

Система виконання коду без використання методів збирання сміття

У даній роботі детально розглянуту структуру основних типів систем виконання коду: стекових та регістрових. Розглянуті основні способи автоматичного управління пам’яттю, що використовуються в сучасних системах виконання. Запропоновано новий метод автоматичного управління пам’яттю оснований на циклах життя об’єктів системи. Було реалізовано віртуальну машину прикладного рівня із спеціально спроектованим байт-кодом, що реалізує новий механізм управління пам’яттю.This work analyses in detail the structure of the main types of code execution systems: stack-based and register-based. It looks at the main methods of automatic memory management used in modern code execution systems. A new method of automatic memory management based on the lifecycles of system objects is proposed. An application-level virtual machine with a specially designed bytecode was implemented, that uses this new memory management mechanism

Micro Virtual Machines: A Solid Foundation for Managed Language Implementation

Today new programming languages proliferate, but many of them suffer from poor performance and inscrutable semantics. We assert that the root of many of the performance and semantic problems of today's languages is that language implementation is extremely difficult. This thesis addresses the fundamental challenges of efficiently developing high-level managed languages. Modern high-level languages provide abstractions over execution, memory management and concurrency. It requires enormous intellectual capability and engineering effort to properly manage these concerns. Lacking such resources, developers usually choose naive implementation approaches in the early stages of language design, a strategy which too often has long-term consequences, hindering the future development of the language. Existing language development platforms have failed to provide the right level of abstraction, and forced implementers to reinvent low-level mechanisms in order to obtain performance. My thesis is that the introduction of micro virtual machines will allow the development of higher-quality, high-performance managed languages. The first contribution of this thesis is the design of Mu, with the specification of Mu as the main outcome. Mu is the first micro virtual machine, a robust, performant, and light-weight abstraction over just three concerns: execution, concurrency and garbage collection. Such a foundation attacks three of the most fundamental and challenging issues that face existing language designs and implementations, leaving the language implementers free to focus on the higher levels of their language design. The second contribution is an in-depth analysis of on-stack replacement and its efficient implementation. This low-level mechanism underpins run-time feedback-directed optimisation, which is key to the efficient implementation of dynamic languages. The third contribution is demonstrating the viability of Mu through RPython, a real-world non-trivial language implementation. We also did some preliminary research of GHC as a Mu client. We have created the Mu specification and its reference implementation, both of which are open-source. We show that that Mu's on-stack replacement API can gracefully support dynamic languages such as JavaScript, and it is implementable on concrete hardware. Our RPython client has been able to translate and execute non-trivial RPython programs, and can run the RPySOM interpreter and the core of the PyPy interpreter. With micro virtual machines providing a low-level substrate, language developers now have the option to build their next language on a micro virtual machine. We believe that the quality of programming languages will be improved as a result