Interprocedural analyses enable optimizing compilers to more precisely model the effects of non-inlined procedure calls, potentially resulting in substantial increases in application performance. Applying interprocedural analysis to programs written in object-oriented or functional languages is complicated by the difficulty of constructing an accurate program call graph. This paper presents a parameterized algorithmic framework for call graph construction in the presence of message sends and/or firstclass functions. We use this framework to describe and to implement a number of well-known and new algorithms. We then empirically assess these algorithms by applying them to a suite of medium-sized programs written in Cecil and Java, reporting on the relative cost of the analyses, the relative precision of the constructed call graphs, and the impact of this precision on the effectiveness of a number of interprocedural optimizations. 1 Introduction Interprocedural analysis can enable subs...

A large number of call graph construction algorithms for object-oriented and functional languages have been proposed, each embodying different tradeoffs between analysis cost and call graph precision. In this article we present a unifying framework for understanding call graph construction algorithms and an empirical comparison of a representative set of algorithms. We first present a general parameterized algorithm that encompasses many well-known and novel call graph construction algorithms. We have implemented this general algorithm in the Vortex compiler infrastructure, a mature, multilanguage, optimizing compiler. The Vortex implementation provides a “level playing field ” for meaningful cross-algorithm performance comparisons. The costs and benefits of a number of call graph construction algorithms are empirically assessed by applying their Vortex implementation to a suite of sizeable (5,000 to 50,000 lines of code) Cecil and Java programs. For many of these applications, interprocedural analysis enabled substantial speed-ups over an already highly optimized baseline. Furthermore, a significant fraction of these speed-ups can be obtained through the use of a scalable, near-linear time call graph construction algorithm.

Object-oriented languages like Java and Smalltalk provide a uniform object model that simplifies programming by providing a consistent, abstract model of object behavior. But direct implementations introduce overhead, removal of which requires aggressive implementation techniques (e.g. type inference, function specialization); in this paper, we introduce object inlining, an optimization that automatically inline allocates objects within containers (as is done by hand in C++) within a uniform model. We present our technique, which includes novel program analyses that track how inlinable objects are used throughout the program. We evaluated object inlining on several object-oriented benchmarks. It produces performance up to three times as fast as a dynamic model without inlining and roughly equal to that of manually-inlined codes. 1 Introduction Traditional object-oriented languages (e.g. SmallTalk [13]) sport a simple, uniform, abstract programming model; all objects are accessed via ...

Automatic object inlining [19, 20] transforms heap data structures by fusing parent and child objects together. It can improve runtime by reducing object allocation and pointer dereference costs. We report continuing work studying object inlining optimizations. In particular, we present a new semantic derivation of the correctness conditions for object inlining, and program analysis which extends our previous work. And we present an object inlining transformation, focusing on a new algorithm which optimizes class field layout to minimize code expansion. Finally, we detail a fuller evaluation on eleven programs and libraries (including Xpdf, the 25,000 line Portable Document Format (PDF) le browser) that utilizes hardware measures of impact on the memory system. We show that our analysis scales effectively to large programs, nding many inlinable elds (45 in xpdf) at acceptable cost, and we show that, on some programs, it finds nearly all fields for which object inlining is correct, and a...

We present # CIL , a typed #-calculus which serves as the foundation for a typed intermediate language for optimizing compilers for higher-order polymorphic programming languages. The key innovation of # CIL is a novel formulation of intersection and union types and flow labels on both terms and types. These flow types can encode polyvariant control and data flow information within a polymorphically typed program representation. Flow types can guide a compiler in generating customized data representations in a strongly typed setting. Since # CIL enjoys confluence, standardization, and subject reduction properties, it is a valuable tool for reasoning about programs and program transformations.

Object-oriented languages such as Java and Smalltalk provide a uniform object reference model, allowing objects to be conveniently shared. If implemented directly, these uniform reference models can suffer in efficiency due to additional memory dereferences and memory management operations. Automatic inline allocation of child objects within parent objects can reduce overheads of heap-allocated pointer-referenced objects. We present three compiler analyses to identify inlinable fields by tracking accesses to heap objects. These analyses span a range from local data flow to adaptive whole-program, flow-sensitive inter-procedural analysis. We measure their cost and effectiveness on a suite of moderate-sized C++ programs (up to 30,000 lines including libraries). We show that aggressive interprocedural analysis is required to enable object inlining, and our adaptive inter-procedural analysis [23] computes precise information efficiently. Object inlining eliminates typically 40% of object a...

This dissertation demonstrates that interprocedural analysis can be both practical and effective for sizeable object-oriented programs. Although frequent procedure calls and message sends are important structuring techniques in object-oriented languages, they can also severely degrade application run-time performance. A number of analyses and transformations have been developed that attack this performance problem by enabling the compile-time replacement of message sends with procedure calls and of procedure calls with inlined copies of their callees. Despite the success of these techniques, even after they are applied it is extremely likely that some message sends and non-inlined procedure calls will remain in the program. These remaining call sites can force an optimizing compiler to make pessimistic assumptions about program behavior, causing it to miss opportunities for potentially profitable optimizations. Interprocedural analysis is one well-known technique for enabling an optimizing compiler to more precisely model the effects of noninlined calls, thus reducing their impact on application performance.

Actors are a model of concurrent objects which unify synchronization and data abstraction boundaries. Because they hide details of parallel execution and present an abstract view of the computation, actors provide a promising building block for easy-to-use parallel programming systems. However, the practical success of the concurrent object model requires two conditions be satisfied. Flexible communication abstractions and their efficient implementations are the necessary conditions for the success of actors. This thesis studies how to support communication between actors efficiently. First, we discuss communication patterns commonly arising in many parallel applications in the context of an experimental actor-based language, THAL. The language provides as communication abstractions concurrent call/return communication, delegation, broadcast, and local synchronization constraints. The thesis shows how the abstractions are efficiently implemented on stock-hardware distributed memory mul...

Programmers of concurrent applications are faced with a complex performance space in which data distribution and concurrency management exacerbate the difficulty of building large, complex applications. To address these challenges, the Illinois Concert system provides a global namespace, implicit concurrency control and granularity management, implicit storage management, and object-oriented programming features. These features are embodied in a language ICC++ (derived from C++) which has been used to build a number of kernels and applications. As high level features can potentially incur overhead, the Concert system employs a range of compiler and runtime optimization techniques to efficiently support the high level programming model. The compiler techniques include type inference, inlining and specialization; and the runtime techniques include caching, prefetching and hybrid stack/heap multithreading. The effectiveness of these techniques permits the construction of complex parallel ...

On clusters and DMPs, locality of objects and threads and hence avoidance of network communication, are crucial for the application performance. We show that -- in certain situations -- an extension of known type inference mechanisms can be used to compute placement decisions that improve locality of threads and objects and hence reduce the application execution times. In addition to this general...