High-performance logic programming with the Aquarius Prologcompiler

Aquarius Prolog, a high performance compiler designed and built to test the hypothesis that Prolog can be implemented as efficiently as an imperative language by compiling the more powerful features of logic programming only where they are needed, and then only in the simplest form, is described. The authors begin with some background on logic programming and then discuss the Prolog language in more detail. They present an overview of their compiler, giving its structure and the principles underlying its high performance. They compare their system with two popular high-performance commercial systems and with two implementations of C and conclude with an overview of ways to extend this work     

Compiler to interpreter: experiences with a distributed programming language

One interpretive approach for handling concurrency is to provide an interpreter instance for each executing language‐level process. Such an approach has mainly been applied to concurrent implementations of logic and functional languages. This paper describes the use of this approach in constructing an interpreter for an imperative, distributed programming language from an existing compiler and run‐time support system (RTS). Primary design goals were to exploit the existing compiler to the extent possible as well as to have minimal impact on the RTS used to support concurrency. We have been successful in meeting these goals. Additionally, performance results show our interpreter's execution times compare favorably to the times required for compilation, linkage, and execution of small programs or programs with a significant number of calls to the RTS; on such programs, our interpreter's performance also compares favorably to that of the standard Java implementation. However, for larger programs and programs with fewer calls to the underlying RTS, the conventional compiler‐based implementation outperforms the interpreter implementation. For many distributed programs in which network costs dominate, the performances of the two implementations differ little. Copyright © 2001 John Wiley & Sons, Ltd.     

Optimizing Java: theory and practice

The enormous popularity of the Internet has made an instant star of the Java programming language. Java's portability, reusability, security and clean design has made it the language of choice for Web-based applications and a popular alternative to C++ for object-oriented programming. Unfortunately, the performance of the standard Java implementation, even with just-in-time compilation technology, is far behind the most popular languages today. The need for an aggressive optimizing compiler for Java is clear. Building on preliminary experience with the JavaSoft bytecode optimizer, this paper explores some of the issues that arise in building efficient implementations of Java. A number of interesting problems are presented by the Java language design, making classical optimization strategies much harder to implement. On the other hand, Java presents the opportunity for some new optimizations, unique for this language. © 1997 John Wiley & Sons, Ltd.     

Translating a Linear Logic Programming Language into Java

There have been several proposals for logic programming language based on linear logic: Lolli [8], Lygon [7], LO [3], LinLog [2], Forum [11], HACL [10]. In these languages, it is possible to create and consume resources dynamically as logical formulas. The efficient handling of resource formulas is, therefore, an important issue in the implementation of these languages. Lolli, Lygon, and Forum are implemented as interpreter systems; Lolli is on SML and λProlog, Lygon is on Prolog, Forum is on SML, λProlog and Prolog. However, none of them have been implemented in Java.In this paper, we describe the Prolog Café ¹ system which translates a linear logic programming language called LLP to Java via the LLPAM [12] [5], an extension of the standard WAM [16] [1] for LLP. LLP is a superset of Prolog and a subset of Lolli. The main difference from the first implementation [4] is resource compilation. That is to say, resource formulas are compiled into closures which consist of a reference of compiled code and a set of bindings for free variables. Calling these resources is integrated with the ordinary predicate invocation.Prolog Café is portable to any platform supporting Java and easily expandable with increasing Java's class libraries. In performance, on average, Prolog Café generate 2.2 times faster code for a set of classical Prolog benchmarks compared with jProlog.     

An optimizing compiler for the icon programming language

Compiling code for the Icon programming language presents several challenges, particularly in dealing with types and goal-directed expression evaluation. In order to produce optimized code, it is necessary for the compiler to know much more about operations than is necessary for the compilation of most programming languages. This paper describes the organization of the Icon compiler and the way it acquires and maintains information about operations. The Icon compiler generates C code, which makes it portable to a wide variety of platforms and also allows the use of existing C compilers for performing routine optimizations on the final code. A specially designed implementation language, which is a superset of C, is used for writing Icon's run-time system. This language allows the inclusion of information about the abstract semantics of Icon operations and their type-checking and conversion requirements. A translator converts code written in the run-time language to C code to provide an object library for linking with the code produced by the Icon compiler. The translation process also automatically produces a database that contains the information the Icon compiler needs to generate and optimize code. This approach allows easy extension of Icon's computational repertoire, alternate computational extensions, and cross compilation.     

Static and Dynamic Program Compilation by Interpreter Specialization

Interpretation and run-time compilation techniques are increasingly important because they can support heterogeneous architectures, evolving programming languages, and dynamically-loaded code. Interpretation is simple to implement, but yields poor performance. Run-time compilation yields better performance, but is costly to implement. One way to preserve simplicity but obtain good performance is to apply program specialization to an interpreter in order to generate an efficient implementation of the program automatically. Such specialization can be carried out at both compile time and run time.Recent advances in program-specialization technology have significantly improved the performance of specialized interpreters. This paper presents and assesses experiments applying program specialization to both bytecode and structured-language interpreters. The results show that for some general-purpose bytecode languages, specialization of an interpreter can yield speedups of up to a factor of four, while specializing certain structured-language interpreters can yield performance comparable to that of an implementation in a general-purpose language, compiled using an optimizing compiler.     

Integrating library modules into Pascal programs

We present the results of our experience in introducing modularity into the programming language Pascal in order to aid the creation and use of library modules. Our system performs the symbolic linking of source language modules producing a single Pascal text ready for compilation; performing the link phase before compilation anticipates interface consistency checks, and suggests a possible improvement of program development systems. Our extension is implemented in a preprocessor which ensures a complete compatibility with any standard Pascal compiler. In this paper we examine the main features of some high-level programming languages which support modularization and data abstraction and some experiences in introducing modularity into Pascal; on this basis we describe our choice in detail. The design and implementation details are discussed and some examples are presented.     

Automatic mapping of C to FPGAs with the DEFACTO compilation and synthesis system

The DEFACTO compilation and synthesis system is capable of automatically mapping computations expressed in high-level imperative programming languages as C to FPGA-based systems. DEFACTO combines parallelizing compiler technology with behavioral VHDI, synthesis tools to guide the application of high-level compiler transformations in the search of high-quality hardware designs. In this article we illustrate the effectiveness of this approach in automatically mapping several kernel codes to an FPGA quickly and correctly. We also present a detailed example of the comparison of the performance of an automatically generated design against a manually generated implementation of the same computation. The design-space-exploration component of DEFACTO is able to explore a large number of designs for a particular computation that would otherwise be impractical for any designers.     

A language for specifying program transformations

A language is described for specifying program transformations, from which programs can be generated to perform the transformations on sequences of code. The main objective of this work has been to develop a language that would allow the user to quickly and easily specify a wide range of transformations for a variety of programming languages. The rationale for the language constructs is given, as well as the details of an implementation which was prototyped using Prolog. Numerous examples of the language usage are provided     

Logic programming and compiler writing

The concept of ‘logic programming’, and its practical application in the programming language Prolog, are explained from first principles. The ideas are illustrated by describing in detail one sizable Prolog program which implements a simple compiler. The advantages and practicability of using Prolog for ‘real’ compiler implementation are discussed.     

Towards the uniform implementation of declarative languages

Current implementation techniques for functional languages differ considerably from those for logic languages. This complicates the development of flexible and efficient abstract machines that can be used for the compilation of declarative languages combining concepts of functional and logic programming. We propose an abstract machine, called the JUMP-machine, which systematically integrates the operational concepts needed to implement the functional and logic programming paradigm. The use of a tagless representation for heap objects, which originates from the Spineless Tagless G-machine, supports the integration of different concepts. In this paper, we provide a functional logic kernel language and show how to translate it into the abstract machine language of the JUMP-machine. Furthermore, we define the operational semantics of the machine language formally and discuss the mapping of the abstract machine to concrete machine architectures. We tested the approach by writing a compiler for the functional logic language GTML. The obtained performance results indicate that the proposed method allows to implement functional logic languages efficiently.     

Adam: An Ada-based language for multiprocessing

Adam is a high-level language for parallel processing. It is intended for programming resource scheduling applications, in particular supervisory packages for run-time scheduling of multiprocessing systems. An important design goal was to provide support for implementation of Ada and its run-time environment. Adam has been used to implement Ada task supervision and also as a high-level target language for compilation of Ada tasking. Adam provides facilities corresponding to the Ada sequential constructs (including subprograms, packages, exceptions, generics). In addition, it provides specialized module constructs for implementation of packages that may be shared between parallel processes, and new predefined types for scheduling. The parallel processing constructs of Adam are more primitive than Ada tasking. Strong restrictions are enforced on the ways in which parallel processes can interact. A compiler for Adam has been implemented in MacLisp on DEC PDP-10 computers. Runtime support packages in Adam for scheduling (on a single CPU) and I/O are also provided. The compiler contains a library manipulation facility for separate compilation. The Adam compiler has been used to build an Ada compiler for most of the July 1980 Ada, including task types and rendezvous constructs. This was achieved by implementing the translation of Ada tasking into Adam parallel processing as a preprocessor to the Adam compiler. This present Ada compiler, which has been operational since December 1980, uses a procedure call implementation of tasking. It can be easily modified to other implementations. Compilation of Ada tasking into a high-level target language such as Adam facilitates studying questions of correctness and efficiency of various compilation algorithms, and code optimizations specific to tasking, e.g. elimination of unnecessary threads of control. This paper gives an overview of Adam and examples of its use. Emphasis is placed on the differences from Ada. Experience using Adam to build the experimental Ada system is evaluated. Design of a run-time supervisor in Adam is discussed in detail.     

Accurate garbage collection in uncooperative environments revisited

Implementing a concurrent programming language such as Java by means of a translator to an existing language is attractive as it provides portability over all platforms supported by the host language and reduces development time—as many low‐level tasks can be delegated to the host compiler. The C and C++ programming languages are popular choices for many language implementations due to the availability of efficient compilers on a wide range of platforms. For garbage‐collected languages, however, they are not a perfect match as no support is provided for accurately discovering pointers to heap‐allocated data on thread stacks. We evaluate several previously published techniques and propose a new mechanism, lazy pointer stacks, for performing accurate garbage collection in such uncooperative environments. We implemented the new technique in the Ovm Java virtual machine with our own Java‐to‐C/C++ compiler using GCC as a back‐end compiler. Our extensive experimental results confirm that lazy pointer stacks outperform existing approaches: we provide a speedup of 4.5% over Henderson's accurate collector with a 17% increase in code size. Accurate collection is essential in the context of real‐time systems, we thus validate our approach with the implementation of a real‐time concurrent garbage collection algorithm. Copyright © 2009 John Wiley & Sons, Ltd.     

Executing continuation semantics: A comparison

Several authors have suggested translating denotational semantics into prototype interpreters written in high-level programming languages to provide evaluation tools for language designers. These implementations have generally been understandable when restricted to direct denotational semantics. This paper considers using two declarative programming languages, Prolog and Standard ML, to implement an interpreter that follows the continuation semantics of a small imperative programming language, called Gull. Each of the two declarative languages presents certain difficulties related to evaluation strategies and expressiveness. The implementations are compared in terms of their ease of use for prototyping, their resemblance to the denotational definitions, and their efficiency.     

Continuation-Passing C, compiling threads to events through continuations

In this paper, we introduce Continuation Passing C (CPC), a programming language for concurrent systems in which native and cooperative threads are unified and presented to the programmer as a single abstraction. The CPC compiler uses a compilation technique, based on the CPS transform, that yields efficient code and an extremely lightweight representation for contexts. We provide a proof of the correctness of our compilation scheme. We show in particular that lambda-lifting, a common compilation technique for functional languages, is also correct in an imperative language like C, under some conditions enforced by the CPC compiler. The current CPC compiler is mature enough to write substantial programs such as Hekate, a highly concurrent BitTorrent seeder. Our benchmark results show that CPC is as efficient, while using significantly less space, as the most efficient thread libraries available.     

Optimizing compiler for the procedural subset of the algebraic programming language of the APS system

Conclusion An L2B-L2C optimizing compiler has been developed for compiling the procedural subset of the interpreted untyped language APLAN of the algebraic programming system APS into C. Controlled automatic compiling of procedures is regarded as a technological step toward efficient solution of problems in an algebraic programming environment. A distinctive feature of the compiler is that optimization is initiated by the user and relies on hierarchical algebraic specifications. If no specifications are present, the system guarantees compilation consistent with common APLAN semantics. The compiler is formally described on two levels. On the architectural level, we describe the general structure of the compiling process. The main data structures used for optimization are dictionaires of algebraic program components and expression type arrays. The semantic level of multialternative compiling of language constructs is represented in the language of relationships with selection of an appropriate translation alternative. The implementation of the proposed compiler requires a flexible support environment, which allows nonhomogeneous processing of an extended source language, in particular construction of static and dynamic information environments, compilation of the procedural part, and also analysis of the compiling environment, definition of the set of translations of procedural constructs, and selection of the best translation alternative for each particular case. An implementation of the proposed compiler is described in [13]. Translated from Kibernetika i Sistemnyi Analiz, No. 6, pp. 3–16, November–December, 1995.     

A pointer logic and certifying compiler

Proof-Carrying Code brings two big challenges to the research field of programming languages. One is to seek more expressive logics or type systems to specify or reason about the properties of low-level or high-level programs. The other is to study the technology of certifying compilation in which the compiler generates proofs for programs with annotations. This paper presents our progress in the above two aspects. A pointer logic was designed for PointerC (a C-like programming language) in our research. As an extension of Hoare logic, our pointer logic expresses the change of pointer information for each statement in its inference rules to support program verification. Meanwhile, based on the ideas from CAP (Certified Assembly Programming) and SCAP (Stack-based Certified Assembly Programming), a reasoning framework was built to verify the properties of object code in a Hoare style. And a certifying compiler prototype for PointerC was implemented based on this framework. The main contribution of this paper is the design of the pointer logic and the implementation of the certifying compiler prototype. In our certifying compiler, the source language contains rich pointer types and operations and also supports dynamic storage allocation and deallocation.     

UCB策略在Prolog中的应用

Prolog(Programming in Logic)程序语言是一种逻辑程序设计语言.它是在逻辑学理论基础上建立起来的并广泛应用在人工智能研究中.这几十年已经出现了各具特色的Prolog编译器,而且各种编译器也都很成功.虽然在现阶段已经出现了各种版本Prolog编译器,但是Prolog编译器的发展空间还是很大.本文先通过现代Prolog编译器的不足,介绍了新Prolog编译器的特点,然后简单叙述了Prolog编译器词法分析和语法分析的过程,最后介绍了UCB策略.