Faster variational execution with transparent bytecode transformation

Abstract

Variational execution is a novel dynamic analysis technique for exploring highly configurable systems and accurately tracking information flow. It is able to efficiently analyze many configurations by aggressively sharing redundancies of program executions. The idea of variational execution has been demonstrated to be effective in exploring variations in the program, especially when the configuration space grows out of control. Existing implementations of variational execution often require heavy lifting of the runtime interpreter, which is painstaking and error-prone. Furthermore, the performance of this approach is suboptimal. For example, the state-of-the-art variational execution interpreter for Java, VarexJ, slows down executions by 100 to 800 times over a single execution for small to medium size Java programs. Instead of modifying existing JVMs, we propose to transform existing bytecode to make it variational, so it can be executed on an unmodified commodity JVM. Our evaluation shows a dramatic improvement on performance over the state-of-the-art, with a speedup of 2 to 46 times, and high efficiency in sharing computations.

Document Details

Document Type
Pub Defense Publication
Publication Date
Oct 24, 2018
Source ID
10.1145/3276487

Entities

People

  • Christian Kastner
  • Chu-pan Wong
  • Jens Meinicke
  • Lukas Lazarek

Organizations

  • Carnegie Mellon University
  • Defense Advanced Research Projects Agency
  • National Science Foundation
  • Northwestern University

Tags

Fields of Study

  • Computer science
  • Engineering

Readers

  • Database Systems and Applications
  • Linear Algebra
  • Parallel and Distributed Computing.

Technology Areas

  • Space