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Craig Chambers

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

2 papers
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2

I&C Journal 2002 Journal Article

Modular Statically Typed Multimethods

  • Todd Millstein
  • Craig Chambers

Multimethods offer several well-known advantages over the single dispatching of conventional object-oriented languages, including a simple solution to the binary method problem, a natural implementation of the strategy design pattern, and a form of open objects that enables easy addition of new operations to existing classes. However, previous work on statically typed multimethods whose arguments are treated symmetrically has required the whole program to be available in order to perform typechecking. We describe Dubious, a simple core language including first-class generic functions with symmetric multimethods, a classless object model, and modules that can be separately typechecked. We identify two sets of restrictions that ensure modular type safety for Dubious as well as an interesting intermediate point between these two. We have proved each of these modular type systems sound.

TCS Journal 2000 Journal Article

DyC: an expressive annotation-directed dynamic compiler for C

  • Brian Grant
  • Markus Mock
  • Matthai Philipose
  • Craig Chambers
  • Susan J. Eggers

We present the design of DyC, a dynamic-compilation system for C based on run-time specialization. Directed by a few declarative user annotations that specify the variables and code on which dynamic compilation should take place, a binding-time analysis computes the set of run-time constants at each program point in the annotated procedure's control-flow graph; the analysis supports program-point-specific polyvariant division and specialization. The results of the analysis guide the construction of a run-time specializer for each dynamically compiled region; the specializer supports various caching strategies for managing dynamically generated code and mixes of speculative and demand-driven specialization of dynamic branch successors. Most of the key cost/benefit trade-offs in the binding-time analysis and the run-time specializer are open to user control through declarative policy annotations. DyC has been implemented in the context of an optimizing compiler, and initial results have been promising. The speedups we have obtained are good, and the dynamic-compilation overhead is among the lowest of any dynamic-compilation system, typically 20–200 cycles per instruction generated on a Digital Alpha 21164. The majority of DyC's functionality has been used to dynamically compile an instruction-set simulator. Only three annotations were required, but a few other changes to the program had to be made due to DyC's lack of support for static global variables. This deficiency and DyC's rudimentary support for partially static data structures are the primary obstacles to making DyC easy to use.

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