Software engineers are faced with a dilemma. They want to write general and wellstructured programs that are flexible and easy to maintain. On the other hand, generality has a price: efficiency. A specialized program solving a particular problem is often significantly faster than a general program. However, the development of specialized software is time-consuming, and is likely to exceed the production of today’s programmers. New techniques are required to solve this so-called software crisis. Partial evaluation is a program specialization technique that reconciles the benefits of generality with efficiency. This thesis presents an automatic partial evaluator for the Ansi C programming language. The content of this thesis is analysis and transformation of C programs. We develop several analyses that support the transformation of a program into its generating extension. A generating extension is a program that produces specialized programs when executed on parts of the input. The thesis contains the following main results.

This paper proposes an efficient technique for contextsensitive pointer analysis that is applicable to real C programs. For efficiency, we summarize the effects of procedures using partial transfer functions. A partial transfer function (PTF) describes the behavior of a procedure assuming that certain alias relationships hold when it is called. We can reuse a PTF in many calling contexts as long as the aliases among the inputs to the procedure are the same. Our empirical results demonstrate that this technique is successful---a single PTF per procedure is usually sufficient to obtain completely context-sensitive results. Because many C programs use features such as type casts and pointer arithmetic to circumvent the high-level type system, our algorithm is based on a low-level representation of memory locations that safely handles all the features of C. We have implemented our algorithm in the SUIF compiler system and we show that it runs efficiently for a set of C benchmarks. 1 Introd...

Algorithms exist for compiling Fortran D for MIMD distributed-memory machines, but are significantly restricted in the presence of procedure calls. This paper presents interprocedural analysis, optimization, and code generation algorithms for Fortran D that limit compilation to only one pass over each procedure. This is accomplished by collecting summary information after edits, then compiling procedures in reverse topological order to propagate necessary information. Delaying instantiation of the computation partition, communication, and dynamic data decomposition is key to enabling interprocedural optimization. Recompilation analysis preserves the benefits of separate compilation. Empirical results show that interprocedural optimization is crucial in achieving acceptable performance for a common application.

The ParaScope parallel programming environment developed to support scientific programming of shared-memory multiprocessors, includes a collection of tools that use global program analysis to help users develop and debug parallel programs. This paper focuses on ParaScope’s compilation system, its parallel program editor, and its parallel debugging system. The compilation system extends the traditional single-procedure compiler by providing a mechanism for managing the compilation of complete programs. Thus, ParaScope can support both traditional single-procedure optimization and optimization across procedure boundaries. The ParaScope editor brings both compiler analysis and user expertise to bear on program parallelization. It assists the knowledgeable user by displaying and managing analysis and by proiiding a variety of interactive program tran.formation.s that are effective in exposing parallelism. The debugging svstem detects and reports timing-dependent errors, called data races, in execution of parallel programs. The system combines static analysis. program instrumentation. and run-time reporting to provide a mechanical system for isolating errors in parallel program executions. Finally, we describe a new project to extend ParaScope to support programming in Fortran D, a machine-independent parallel pro-gramming language intended for use with both distributed-memory and shared-memory parallel computers..

Object-oriented programming languages confer many benefits, including abstraction, which lets the programmer hide the details of an object’s implementation from the object’s clients. Unfortunately, crossing abstraction boundaries often incurs a substantial run-time overhead in the form of frequent procedure calls. Thus, pervasive use of abstraction, while desirable from a design standpoint, may be impractical when it leads to inefficient programs. Aggressive compiler optimizations can reduce the overhead of abstraction. However, the long compilation times introduced by optimizing compilers delay the programming environment‘s responses to changes in the program. Furthermore, optimization also conflicts with source-level debugging. Thus, programmers are caught on the horns of two dilemmas: they have to choose between abstraction and efficiency, and between responsive programming environments and efficiency. This dissertation shows how to reconcile these seemingly contradictory goals by performing optimizations lazily. Four new techniques work together to achieve high performance and high responsiveness: • Type feedback achieves high performance by allowing the compiler to inline message sends based on information extracted from the runtime system. On average, programs run 1.5 times faster than the previous SELF system; compared to a commercial Smalltalk implementation, two medium-sized benchmarks run about three times faster. This level of performance is obtained with a compiler that is both simpler and faster than previous SELF compilers. • Adaptive optimization achieves high responsiveness without sacrificing performance by using a fast nonoptimizing compiler to generate initial code while automatically recompiling heavily used parts of the program with an optimizing compiler. On a previous-generation workstation like the SPARCstation-2, fewer than 200 pauses exceeded 200 ms during a 50-minute interaction, and 21 pauses exceeded one second. On a currentgeneration workstation, only 13 pauses exceed 400 ms. • Dynamic deoptimization shields the programmer from the complexity of debugging optimized code by transparently recreating non-optimized code as needed. No matter whether a program is optimized or not, it can always be stopped, inspected, and single-stepped. Compared to previous approaches, deoptimization allows more debugging while placing fewer restrictions on the optimizations that can be performed. • Polymorphic inline caching generates type-case sequences on-the-fly to speed up messages sent from the same call site to several different types of object. More significantly, they collect concrete type information for the optimizing compiler. With better performance yet good interactive behavior, these techniques make exploratory programming possible both for pure object-oriented languages and for application domains requiring higher ultimate performance, reconciling exploratory programming, ubiquitous abstraction, and high performance.

: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 15 CHAPTER 1: INTRODUCTION : : : : : : : : : : : : : : : : : : : : : : : : : : 17 1.1 Introduction to Network Software : : : : : : : : : : : : : : : : : : : : : 17 1.2 Network Software is Evolving : : : : : : : : : : : : : : : : : : : : : : : 20 1.3 Existing Support for Network Software Development : : : : : : : : : : : 21 1.3.1 Protocol Frameworks : : : : : : : : : : : : : : : : : : : : : : 21 1.3.2 Formal Techniques : : : : : : : : : : : : : : : : : : : : : : : : 22 1.4 New Strategies for Supporting Protocol Development : : : : : : : : : : : 23 1.4.1 Simplifying Protocol Development by Imposing Constraints : : 24 1.4.2 Language Support for Protocol Development : : : : : : : : : : 25 1.5 Morpheus : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 26 1.5.1 Abstraction : : : : : : : : : : : : : : : : : : : : : : : : : : : : 26 1.5.2 Modularity : : : : : : : : : : : : : : : : : : : : : : : : : : : : ...

Dynamically-dispatched calls often limit the performance of object-oriented programs since object-oriented programming encourages factoring code into small, reusable units, thereby increasing the frequency of these expensive operations. Frequent calls not only slow down execution with the dispatch overhead per se, but more importantly they hinder optimization by limiting the range and effectiveness of standard global optimizations. In particular, dynamicallydispatched calls prevent standard interprocedural optimizations that depend on the availability of a static call graph. The SELF implementation described here offers two novel approaches to optimization. Type feedback speculatively inlines dynamically-dispatched calls based on profile information that predicts likely receiver classes. Adaptive optimization reconciles optimizing compilation with interactive performance by incrementally optimizing only the frequently-executed parts of a program. When combined, these two techniques result in a system that can execute programs significantly faster than previous systems while retaining much of the interactiveness of an interpreted system.

We have designed and implemented an optimizing source-to-source C++ compiler that reduces the frequency of virtual function calls. This technical report describes our preliminary experience with this system. The prototype implementation demonstrates the value of OO-specific optimization of C++. Despite some limitations of our system, and despite the low frequency of virtual function calls in some of the programs, optimization improves the performance of a suite of two small and six large C++ applications totalling over 90,000 lines of code by a median of 20% over the original programs and reduces the number of virtual function calls by a median factor of 5. For more call-intensive versions of the same programs, performance improved by a median of 40 % and the number of virtual calls dropped by a factor of 21. Our measurements indicate that inlining does not necessarily lead to large increases in code size, and that for most programs, the instruction cache miss ratio does not increase significantly.

To use modern hardware effectively, compilers need extensive control-flow information. Unfortunately, the frequent method invocations in object-oriented languages obscure control flow. In this paper, we describe and evaluate a range of analysis techniques to convert method invocations into direct calls for statically-typed object-oriented languages and thus improve control-flow information in object-oriented languages. We present simple algorithms for type hierarchy analysis, aggregate analysis, and interprocedural and intraprocedural type propagation. These algorithms are also fast, O(jproceduresj P procedures p n p v p ) worst case time (linear in practice) for our slowest analysis, where n p is the size of procedure p and v p is the number of variables in procedure p, and are thus practical for use in a compiler. When they fail, we introduce cause analysis to reveal the source of imprecision and suggest where more powerful algorithms may be warranted. We show that our simple an...

Modern architectures with deep memory hierarchies or parallehsm require the use of increasingly sophisticated code analysis and optimization to achieve maximum performance for large, scientific programs. In such