Bugloo: a Source Level Debugger for Scheme Programs Compiled Into JVM Bytecode
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An Optimized R5RS Macro Expander
An Optimized R5RS Macro Expander Sean Reque A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Science Jay McCarthy, Chair Eric Mercer Quinn Snell Department of Computer Science Brigham Young University February 2013 Copyright c 2013 Sean Reque All Rights Reserved ABSTRACT An Optimized R5RS Macro Expander Sean Reque Department of Computer Science, BYU Master of Science Macro systems allow programmers abstractions over the syntax of a programming language. This gives the programmer some of the same power posessed by a programming language designer, namely, the ability to extend the programming language to fit the needs of the programmer. The value of such systems has been demonstrated by their continued adoption in more languages and platforms. However, several barriers to widespread adoption of macro systems still exist. The language Racket [6] defines a small core of primitive language constructs, including a powerful macro system, upon which all other features are built. Because of this design, many features of other programming languages can be implemented through libraries, keeping the core language simple without sacrificing power or flexibility. However, slow macro expansion remains a lingering problem in the language's primary implementation, and in fact macro expansion currently dominates compile times for Racket modules and programs. Besides the typical problems associated with slow compile times, such as slower testing feedback, increased mental disruption during the programming process, and unscalable build times for large projects, slow macro expansion carries its own unique problems, such as poorer performance for IDEs and other software analysis tools. -
Towards a Portable and Mobile Scheme Interpreter
Towards a Portable and Mobile Scheme Interpreter Adrien Pi´erard Marc Feeley Universit´eParis 6 Universit´ede Montr´eal [email protected] [email protected] Abstract guage. Because Mobit implements R4RS Scheme [6], we must also The transfer of program data between the nodes of a distributed address the serialization of continuations. Our main contribution is system is a fundamental operation. It usually requires some form the demonstration of how this can be done while preserving the in- of data serialization. For a functional language such as Scheme it is terpreter’s maintainability and with local changes to the original in- clearly desirable to also allow the unrestricted transfer of functions terpreter’s structure, mainly through the use of unhygienic macros. between nodes. With the goal of developing a portable implemen- We start by giving an overview of the pertinent features of the tation of the Termite system we have designed the Mobit Scheme Termite dialect of Scheme. In Section 3 we explain the structure interpreter which supports unrestricted serialization of Scheme ob- of the interpreter on which Mobit is based. Object serialization is jects, including procedures and continuations. Mobit is derived discussed in Section 4. Section 5 compares Mobit’s performance from an existing Scheme in Scheme fast interpreter. We demon- with other interpreters. We conclude with related and future work. strate how macros were valuable in transforming the interpreter while preserving its structure and maintainability. Our performance 2. Termite evaluation shows that the run time speed of Mobit is comparable to Termite is a Scheme adaptation of the Erlang concurrency model. -
The Evolution of Lisp
1 The Evolution of Lisp Guy L. Steele Jr. Richard P. Gabriel Thinking Machines Corporation Lucid, Inc. 245 First Street 707 Laurel Street Cambridge, Massachusetts 02142 Menlo Park, California 94025 Phone: (617) 234-2860 Phone: (415) 329-8400 FAX: (617) 243-4444 FAX: (415) 329-8480 E-mail: [email protected] E-mail: [email protected] Abstract Lisp is the world’s greatest programming language—or so its proponents think. The structure of Lisp makes it easy to extend the language or even to implement entirely new dialects without starting from scratch. Overall, the evolution of Lisp has been guided more by institutional rivalry, one-upsmanship, and the glee born of technical cleverness that is characteristic of the “hacker culture” than by sober assessments of technical requirements. Nevertheless this process has eventually produced both an industrial- strength programming language, messy but powerful, and a technically pure dialect, small but powerful, that is suitable for use by programming-language theoreticians. We pick up where McCarthy’s paper in the first HOPL conference left off. We trace the development chronologically from the era of the PDP-6, through the heyday of Interlisp and MacLisp, past the ascension and decline of special purpose Lisp machines, to the present era of standardization activities. We then examine the technical evolution of a few representative language features, including both some notable successes and some notable failures, that illuminate design issues that distinguish Lisp from other programming languages. We also discuss the use of Lisp as a laboratory for designing other programming languages. We conclude with some reflections on the forces that have driven the evolution of Lisp. -
Structured Foreign Types
Ftypes: Structured foreign types Andrew W. Keep R. Kent Dybvig Indiana University fakeep,[email protected] Abstract When accessing scalar elements within an ftype, the value of the High-level programming languages, like Scheme, typically repre- scalar is automatically marshaled into the equivalent Scheme rep- sent data in ways that differ from the host platform to support resentation. When setting scalar elements, the Scheme value is consistent behavior across platforms and automatic storage man- checked to ensure compatibility with the specified foreign type, and agement, i.e., garbage collection. While crucial to the program- then marshaled into the equivalent foreign representation. Ftypes ming model, differences in data representation can complicate in- are well integrated into the system, with compiler support for ef- teraction with foreign programs and libraries that employ machine- ficient access to foreign data and debugger support for convenient dependent data structures that do not readily support garbage col- inspection of foreign data. lection. To bridge this gap, many high-level languages feature for- The ftype syntax is convenient and flexible. While it is similar in eign function interfaces that include some ability to interact with some ways to foreign data declarations in other Scheme implemen- foreign data, though they often do not provide complete control tations, and language design is largely a matter of taste, we believe over the structure of foreign data, are not always fully integrated our syntax is cleaner and more intuitive than most. Our system also into the language and run-time system, and are often not as effi- has a more complete set of features, covering all C data types along cient as possible. -
Chez Scheme Version 5 Release Notes Copyright C 1994 Cadence Research Systems All Rights Reserved October 1994 Overview 1. Funct
Chez Scheme Version 5 Release Notes Copyright c 1994 Cadence Research Systems All Rights Reserved October 1994 Overview This document outlines the changes made to Chez Scheme for Version 5 since Version 4. New items include support for syntax-case and revised report high-level lexical macros, support for multiple values, support for guardians and weak pairs, support for generic ports, improved trace output, support for shared incremental heaps, support for passing single floats to and returning single floats from foreign procedures, support for passing structures to and returning structures from foreign procedures on MIPS-based computers, and various performance enhancements, including a dramatic improvement in the time it takes to load Scheme source and object files on DEC Ultrix MIPS-based computers. Overall performance of generated code has increased by an average of 15–50 percent over Version 4 depending upon optimize level and programming style. Programs that make extensive use of locally-defined procedures will benefit more than programs that rely heavily on globally-defined procedures, and programs compiled at higher optimize levels will improve more than programs compiled at lower optimize levels. Compile time is approximately 25 percent faster. Refer to the Chez Scheme System Manual, Revision 2.5 for detailed descriptions of the new or modified procedures and syntactic forms mentioned in these notes. Version 5 is available for the following platforms: • Sun Sparc SunOS 4.X & Solaris 2.X • DEC Alpha AXP OSF/1 V2.X • Silicon Graphics IRIX 5.X • Intel 80x86 NeXT Mach 3.2 • Motorola Delta MC88000 SVR3 & SVR4 • Decstation/Decsystem Ultrix 4.3A • Intel 80x86 BSDI BSD/386 1.1 • Intel 80x86 Linux This document contains four sections describing (1) functionality enhancements, (2) performance enhance- ments, (3) bugs fixed, and (4) compatibility issues. -
Drscheme: a Pedagogic Programming Environment for Scheme
DrScheme A Pedagogic Programming Environment for Scheme Rob ert Bruce Findler Cormac Flanagan Matthew Flatt Shriram Krishnamurthi and Matthias Felleisen Department of Computer Science Rice University Houston Texas Abstract Teaching intro ductory computing courses with Scheme el evates the intellectual level of the course and thus makes the sub ject more app ealing to students with scientic interests Unfortunatelythe p o or quality of the available programming environments negates many of the p edagogic advantages Toovercome this problem wehavedevel op ed DrScheme a comprehensive programming environmentforScheme It fully integrates a graphicsenriched editor a multilingua l parser that can pro cess a hierarchyofsyntactically restrictivevariants of Scheme a functional readevalprint lo op and an algebraical ly sensible printer The environment catches the typical syntactic mistakes of b eginners and pinp oints the exact source lo cation of runtime exceptions DrScheme also provides an algebraic stepp er a syntax checker and a static debugger The rst reduces Scheme programs including programs with assignment and control eects to values and eects The to ol is useful for explainin g the semantics of linguistic facilities and for studying the b ehavior of small programs The syntax c hecker annotates programs with fontandcolorchanges based on the syntactic structure of the pro gram It also draws arrows on demand that p oint from b ound to binding o ccurrences of identiers The static debugger roughly sp eaking pro vides a typ e inference system -
Supplementary Material Forrebuilding Racket on Chez Scheme
Supplementary Material for Rebuilding Racket on Chez Scheme (Experience Report) MATTHEW FLATT, University of Utah, USA CANER DERICI, Indiana University, USA R. KENT DYBVIG, Cisco Systems, Inc., USA ANDREW W. KEEP, Cisco Systems, Inc., USA GUSTAVO E. MASSACCESI, Universidad de Buenos Aires, Argentina SARAH SPALL, Indiana University, USA SAM TOBIN-HOCHSTADT, Indiana University, USA JON ZEPPIERI, independent researcher, USA All benchmark measurements were performed on an Intel Core i7-2600 3.4GHz processor running 64-bit Linux. Except as specifically noted, we used Chez Scheme 9.5.3 commit 7df2fb2e77 at github:cicso/ChezScheme, modified as commit 6d05b70e86 at github:racket/ChezScheme, and Racket 7.3.0.3 as commit ff95f1860a at github:racket/racket. 1 TRADITIONAL SCHEME BENCHMARKS The traditional Scheme benchmarks in figure1 are based on a suite of small programs that have been widely used to compare Scheme implementations. The benchmark sources are in the "common" directory of the racket-benchmarks package in the Racket GitHub repository. The results are in two groups, where the group starting with scheme-c uses mutable pairs, so they are run in Racket as #lang r5rs programs; for Racket CS we expect overhead due to the use of a record datatype for mutable pairs, instead of Chez Scheme’s built-in pairs. The groups are sorted by the ratio of times for Chez Scheme and the current Racket imple- mentation. Note that the break-even point is near the end of the first group. The racket collatz benchmark turns out to mostly measure the performance of the built-in division operator for rational numbers, while fft and nucleic benefit from flonum unboxing. -
Towards a Portable and Mobile Scheme Interpreter
Towards a Portable and Mobile Scheme Interpreter Adrien Pi´erard Marc Feeley Universit´eParis 6 Universit´ede Montr´eal [email protected] [email protected] Abstract guage. Because Mobit implements R4RS Scheme [6], we must also The transfer of program data between the nodes of a distributed address the serialization of continuations. Our main contribution is system is a fundamental operation. It usually requires some form the demonstration of how this can be done while preserving thein- of data serialization. For a functional language such as Scheme it is terpreter’s maintainability and with local changes to the original in- clearly desirable to also allow the unrestricted transfer offunctions terpreter’s structure, mainly through the use of unhygienicmacros. between nodes. With the goal of developing a portable implemen- We start by giving an overview of the pertinent features of the tation of the Termite system we have designed the Mobit Scheme Termite dialect of Scheme. In Section 3 we explain the structure interpreter which supports unrestricted serialization of Scheme ob- of the interpreter on which Mobit is based. Object serialization is jects, including procedures and continuations. Mobit is derived discussed in Section 4. Section 5 compares Mobit’s performance from an existing Scheme in Scheme fast interpreter. We demon- with other interpreters. We conclude with related and futurework. strate how macros were valuable in transforming the interpreter while preserving its structure and maintainability. Our performance 2. Termite evaluation shows that the run time speed of Mobit is comparable to Termite is a Scheme adaptation of the Erlang concurrency model. -
This Is the Author's Version of a Work Accepted for Publication by Elsevier
NOTICE: This is the author’s version of a work accepted for publication by Elsevier. Changes resulting from the publishing process, including peer review, editing, corrections, structural formatting and other quality control mechanisms, may not be reflected in this document. A definitive version was subsequently published in the Journal of Systems and Software, Volume 86, Issue 2, pp. 278-301, February 2013. Efficient Support of Dynamic Inheritance for Class- and Prototype-based Languages Jose Manuel Redondo, Francisco Ortin University of Oviedo, Computer Science Department, Calvo Sotelo s/n, 33007, Oviedo, Spain Abstract Dynamically typed languages are becoming increasingly popular for different software devel- opment scenarios where runtime adaptability is important. Therefore, existing class-based plat- forms such as Java and .NET have been gradually incorporating dynamic features to support the execution of these languages. The implementations of dynamic languages on these platforms com- monly generate an extra layer of software over the virtual machine, which reproduces the reflective prototype-based object model provided by most dynamic languages. Simulating this model fre- quently involves a runtime performance penalty, and makes the interoperation between class- and prototype-based languages difficult. Instead of simulating the reflective model of dynamic languages, our approach has been to extend the object-model of an efficient class-based virtual machine with prototype-based seman- tics, so that it can directly support both kinds of languages. Consequently, we obtain the runtime performance improvement of using the virtual machine JIT compiler, while a direct interoperation between languages compiled to our platform is also possible. In this paper, we formalize dynamic inheritance for both class- and prototype-based languages, and implement it as an extension of an efficient virtual machine that performs JIT compilation. -
23 Things I Know About Modules for Scheme
23 things I know about modules for Scheme Christian Queinnec Université Paris 6 — Pierre et Marie Curie LIP6, 4 place Jussieu, 75252 Paris Cedex — France [email protected] ABSTRACT difficult to deliver (or even rebuild) stand-alone systems. The benefits of modularization are well known. However, Interfaces as collection of names — If modules are about shar- modules are not standard in Scheme. This paper accompanies ing, what should be shared ? Values, locations (that is an invited talk at the Scheme Workshop 2002 on the current variables), types, classes (and their cortege` of accessors, state of modules for Scheme. Implementation is not addressed, constructors and predicates) ? only linguistic features are covered. Cave lector, this paper only reflects my own and instanta- The usual answer in Scheme is to share locations with neous biases! (quite often) two additional properties: (i) these loca- tions can only be mutated from the body of their defin- ing modules (this favors block compilation), (ii) they 1. MODULES should hold functions (and this should be statically (and The benefits of modularization within conventional languages easily) discoverable). This restricts linking with other are well known. Modules dissociate interfaces and implemen- (foreign) languages that may export locations holding tations; they allow separate compilation (or at least indepen- non-functional data (the errno location for instance). dent compilation a` la C). Modules tend to favor re-usability, This is not a big restriction since modern interfaces (Corba common libraries and cross language linkage. for example) tend to exclusively use functions (or meth- Modules discipline name spaces with explicit names expo- ods). -
Programming Languages As Operating Systems
Programming Languages as Op erating Systems (or Revenge of the Son of the Lisp Machine) Matthew Flatt Rob ert Bruce Findler Shriram Krishnamurthi Matthias Felleisen Department of Computer Science Rice University Houston, Texas 77005-1892 reclaim the program's resources|even though the program Abstract and DrScheme share a single virtual machine. The MrEd virtual machine serves b oth as the implementa- To address this problem, MrEd provides a small set of tion platform for the DrScheme programming environment, new language constructs. These constructs allow a program- and as the underlying Scheme engine for executing expres- running program, suchasDrScheme, to run nested programs sions and programs entered into DrScheme's read-eval-print directly on the MrEd virtual machine without sacri cing lo op. We describ e the key elements of the MrEd virtual control over the nested programs. As a result, DrScheme machine for building a programming environment, and we can execute a copyofDrScheme that is executing its own step through the implementation of a miniature version of copy of DrScheme (see Figure 1). The inner and middle DrScheme in MrEd. More generally,weshowhow MrEd de- DrSchemes cannot interfere with the op eration of the outer nes a high-level op erating system for graphical programs. DrScheme, and the middle DrScheme cannot interfere with the outer DrScheme's control over the inner DrScheme. In this pap er, we describ e the key elements of the MrEd 1 MrEd: A Scheme Machine virtual machine, and we step through the implementation of a miniature version of DrScheme in MrEd. More gen- The DrScheme programming environment [10] provides stu- erally,weshowhow MrEd de nes a high-level op erating dents and programmers with a user-friendly environment system (OS) for graphical programs. -
Keyword and Optional Arguments in PLT Scheme
Keyword and Optional Arguments in PLT Scheme Matthew Flatt Eli Barzilay University of Utah and PLT Northeastern University and PLT mfl[email protected] [email protected] Abstract (define rectangle The lambda and procedure-application forms in PLT Scheme sup- (lambda (width height #:color color) port arguments that are tagged with keywords, instead of identified ....)) by position, as well as optional arguments with default values. Un- or like previous keyword-argument systems for Scheme, a keyword is not self-quoting as an expression, and keyword arguments use (define (rectangle width height #:color color) ....) a different calling convention than non-keyword arguments. Con- sequently, a keyword serves more reliably (e.g., in terms of error This rectangle procedure could be called as reporting) as a lightweight syntactic delimiter on procedure argu- (rectangle 10 20 #:color "blue") ments. Our design requires no changes to the PLT Scheme core compiler, because lambda and application forms that support key- A keyword argument can be in any position relative to other argu- words are implemented by macros over conventional core forms ments, so the following two calls are equivalent to the preceding that lack keyword support. one: (rectangle #:color "blue" 10 20) 1. Using Keyword and Optional Arguments (rectangle 10 #:color "blue" 20) The #:color formal argument could have been in any position A rich programming language offers many ways to abstract and among the arguments in the definition of rectangle, as well. In parameterize code. In Scheme, first-class procedures are the pri- general, keyword arguments are designed to look the same in both mary means of abstraction, and procedures are unquestionably the the declaration and application of a procedure.