Welcome to HydraVM

The HydraVM project focuses on automatically refactoring concurrency into legacy codebases for improved performance on emerging hardware with significantly increased thread-level parallelism. With the ubiquity of multicore architectures, large enterprise-class legacy codebases, some of which are (intentionally) designed to be sequential to reduce development costs, are confronted with hardware refresh challenges for improving performance. Manual concurrency refactoring is non-scalable when code size becomes large (e.g., coping with shared data, race conditions, identifying parallel code) and due to the need for low-level optimizations that are necessary for the hardware at-hand for obtaining high performance (e.g., thread communication, locality, caching, scheduling). The project is exploring a language-independent approach for automated concurrency refactoring using a number of techniques including static- and run-time program analysis, speculative execution using transactional memory abstractions and mechanisms, and code transformations and optimizations at an intermediate representation-level. Implementation is being explored using the ​Jikes RVM and the ​LLVM compiler infrastructure.

Hydra VM Team

Starting Points

• Getting Started with HydraVM
  • Downloads
    • Checking out source code
  • Resources
    • ​Jikes RVM
    • ​GraphViz
    • ​Java Bytecode Reference
    • ​Class file format
  • Documentation
    • How it works?
    • Code Visualization
    • ByteSTM
    • Extracting Parallelism
    • Presentations
• Publications

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This work is supported in part by AFOSR under grant FA9550-14-1-0187. Any opinions, findings, and conclusions or recommendations expressed in this site are those of the author(s) and do not necessarily reflect the views of AFOSR.