Carl Friedrich Bolz

发表

Towards reducing the need for algorithmic primitives in dynamic language VMs through a tracing JIT

Robert Hirschfeld, Tobias Pape, Tim Felgentreff, 2015, ICOOOLPS@ECOOP.

Virtual machine warmup blows hot and cold

Sarah Mount, Laurence Tratt, Carl Friedrich Bolz, 2016, Proc. ACM Program. Lang..

Tracing Algorithmic Primitives in RSqueak/VM

Robert Hirschfeld, Tobias Pape, Tim Felgentreff, 2016 .

Fine-grained Language Composition: A Case Study (Artifact)

Laurence Tratt, Carl Friedrich Bolz, Edd Barrett, 2016, Dagstuhl Artifacts Ser..

Pycket: a tracing JIT for a functional language

Sam Tobin-Hochstadt, Jeremy G. Siek, Robert Hirschfeld, 2015, ICFP.

Language-independent storage strategies for tracing-JIT-based virtual machines

Robert Hirschfeld, Anton Gulenko, Tobias Pape, 2015, DLS.

Adaptive just-in-time value class optimization: transparent data structure inlining for fast execution

Robert Hirschfeld, Tobias Pape, Carl Friedrich Bolz, 2015, SAC.

Adaptive just-in-time value class optimization for lowering memory consumption and improving execution time performance pdf

Robert Hirschfeld, Tobias Pape, Carl Friedrich Bolz, 2017, Sci. Comput. Program..

Fine-grained Language Composition: A Case Study

Laurence Tratt, Carl Friedrich Bolz, Edd Barrett, 2015, ECOOP.

Making an Embedded DBMS JIT-friendly

Laurence Tratt, Carl Friedrich Bolz, Darya Kurilova, 2015, ECOOP.

Record data structures in racket: usage analysis and optimization

Robert Hirschfeld, Tobias Pape, Carl Friedrich Bolz, 2017, SIAP.

Storage strategies for collections in dynamically typed languages

Laurence Tratt, Carl Friedrich Bolz, Lukas Diekmann, 2013, OOPSLA.

The impact of meta-tracing on VM design and implementation

Laurence Tratt, Carl Friedrich Bolz, 2015, Sci. Comput. Program..

The Functional Programming Language R and the Paradigm of Dynamic Scientific Programming - (Position Paper)

Clemens Grelck, Baltasar Trancón y Widemann, Carl Friedrich Bolz, 2012, Trends in Functional Programming.

Automatic JIT Compiler Generation with Runtime Partial Evaluation

Michael Leuschel, Volker Aurich, Carl Friedrich Bolz, 2008 .

Towards Just-In-Time Partial Evaluation of Prolog

Michael Leuschel, Carl Friedrich Bolz, Armin Rigo, 2009, LOPSTR.

Loop-aware optimizations in PyPy's tracing JIT

Håkan Ardö, Carl Friedrich Bolz, Maciej Fijalkowski, 2012, DLS '12.

Tracing the meta-level: PyPy's tracing JIT compiler

Carl Friedrich Bolz, Maciej Fijalkowski, Armin Rigo, 2009, ICOOOLPS@ECOOP.

Meta-Tracing Just-in-Time Compilation for RPython

Carl Friedrich Bolz, Carl Friedrich Bolz-Tereick, 2014 .

Back to the Future in One Week - Implementing a Smalltalk VM in PyPy

Oscar Nierstrasz, Lukas Renggli, Toon Verwaest, 2008, S3.

Proceedings of the 9th symposium on Dynamic languages

Patrick Eugster, Antony L. Hosking, Carl Friedrich Bolz, 2013, SPLASH 2013.

Towards a jitting VM for prolog execution

Michael Leuschel, David Schneider, Carl Friedrich Bolz, 2010, PPDP.

Allocation removal by partial evaluation in a tracing JIT

Michael Leuschel, Samuele Pedroni, Carl Friedrich Bolz, 2011, PEPM '11.

Approaches to interpreter composition

Laurence Tratt, Carl Friedrich Bolz, Edd Barrett, 2014, Comput. Lang. Syst. Struct..

The efficient handling of guards in the design of RPython's tracing JIT

David Schneider, Carl Friedrich Bolz, Carl Friedrich Bolz-Tereick, 2012, VMIL '12.

Making an Embedded DBMS JIT-friendly (Artifact)

Laurence Tratt, Carl Friedrich Bolz, Darya Kurilova, 2016, Dagstuhl Artifacts Ser..

Runtime feedback in a meta-tracing JIT for efficient dynamic languages

Michael Leuschel, Samuele Pedroni, Carl Friedrich Bolz, 2011, ICOOOLPS@ECOOP.

Automatic generation of JIT compilers for dynamic languages in . NET ?

Davide Ancona, Carl Friedrich Bolz, Antonio Cuni, 2009 .

How to not write Virtual Machines for Dynamic Languages

Carl Friedrich Bolz, Armin Rigo, 2007 .