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Approaches to interpreter composition., , and . Comput. Lang. Syst. Struct., (2015)Adaptive just-in-time value class optimization: transparent data structure inlining for fast execution., , and . SAC, page 1970-1977. ACM, (2015)Allocation Removal by Partial Evaluation in a Tracing JIT, , , , , and . Proceedings of the 20th ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation, page 43--52. ACM, (2011)Language-independent storage strategies for tracing-JIT-based virtual machines., , , , and . DLS, page 104-113. ACM, (2015)Loop-aware optimizations in PyPy's tracing JIT., , and . DLS, page 63-72. ACM, (2012)The efficient handling of guards in the design of RPython's tracing JIT., and . VMIL@SPLASH, page 3-12. ACM, (2012)Runtime feedback in a meta-tracing JIT for efficient dynamic languages., , , , , and . ICOOOLPS@ECOOP, page 9:1-9:8. ACM, (2011)Back to the Future in One Week - Implementing a Smalltalk VM in PyPy., , , , , , , and . S3, volume 5146 of Lecture Notes in Computer Science, page 123-139. Springer, (2008)Adaptive Just-in-time Value Class Optimization for Lowering Memory Consumption and Improving Execution Time Performance, , and . Science of Computer Programming, (2017)Object-Oriented Programming and Systems (OOPS 2015).Meta-Tracing Just-in-Time Compilation for RPython.. Heinrich Heine University Düsseldorf, (2014)