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Soot class loading in the rootbeer GPU compiler

Philip C. Pratt-Szeliga, Marc-André Laverdière, Ettore Merlo, James W. Fawcett, Roy D. Welch
2013 Proceedings of the 2nd ACM SIGPLAN International Workshop on State Of the Art in Java Program analysis - SOAP '13  
This enables us to load significantly less information in memory to enable program analyses. We implemented our approach for loading Java bytecode in the Soot-based ROOTBEER compiler.  ...  One of the first activities of the Soot program analysis framework is to load the classes for analysis. With the current class loader, more classes are loaded than necessary.  ...  ROOTBEER-Specific Overrides The ROOTBEER GPU Compiler needs additional information in the loaded Scene that would not be present in the classes loaded previously.  ... 
doi:10.1145/2487568.2487573 dblp:conf/pldi/Pratt-SzeligaLMFW13 fatcat:jjitkpy65fdttmkaq6uwvgvhsu

D4.1 Programming Language And Runtime System: Requirements

Hans Vandierendonck
2016 Zenodo  
One of the components in the VINEYARD is the programming model and runtime system support, which is developed in Work Package 4.  ...  This document elaborates the requirements for the VINEYARD programming model and runtime system.  ...  RootBeer Rootbeer 23 allows programmers to express GPU kernels in Java code. The programmer defines a base class that kernels need to specialise.  ... 
doi:10.5281/zenodo.898162 fatcat:h4qoibk26vfzdao5badtj6fdie

Boosting Java Performance using GPGPUs [article]

James Clarkson and Christos Kotselidis and Gavin Brown and Mikel Luján
2015 arXiv   pre-print
The compiler, in turn, exploits this information in order to automatically generate code without requiring additional code refactoring.  ...  Currently, significant engineering efforts are undertaken in order to enable existing programming languages to perform heterogeneous execution mainly on GPUs.  ...  Acknowledgments This work is supported by the AnyScale Apps and PAMELA projects funded by EPSRC EP/L000725/1 and EP/K008730/1. Dr Luján is supported by a Royal Society University Research Fellowship.  ... 
arXiv:1508.06791v1 fatcat:y5cf4sexrfe7zn3ry7xwntpavm

Boosting Java Performance Using GPGPUs [chapter]

James Clarkson, Christos Kotselidis, Gavin Brown, Mikel Luján
2017 Lecture Notes in Computer Science  
Experimental results show an average performance speedup of 19x, using NVIDIA Tesla K20m GPU, and a 4x decrease in code complexity when compared with writing multi-threaded Java code across eight evaluated  ...  We demonstrate the advantages of Jacc, both in terms of programmability and performance, by evaluating it against existing Java frameworks.  ...  (JNI) GPU Code @Jacc enabled Java Applications Jacc Compiler Jacc Compiler Front End Soot Kernel Prep ISA Bridge PTX Conversion Back End PTX Emitter Mid End Optimizations iaload  ... 
doi:10.1007/978-3-319-54999-6_5 fatcat:ns5erd4sfrdixiqpuek5ssusyu

Accelerating Java on Embedded GPU

Iype P. Joseph, Université D'Ottawa / University Of Ottawa, Université D'Ottawa / University Of Ottawa
2014
The existing solutions in literature address various techniques and benefits of offloading Java on desktop or server grade GPUs and not on embedded GPUs.  ...  To the best of our knowledge, this is the first work done on accelerating Java on an embedded GPU.  ...  Rootbeer Static Transformer reads the .class file from the input jar and, using Soot [36] , it converts the .class file to an intermediate three component representation called Jimple [2] .  ... 
doi:10.20381/ruor-3583 fatcat:42db6jqmobbc5e3p544o6ge56m