Rootbeer: Seamlessly using GPUs from Java

Philip C. Pratt-Szeliga, James W. Fawcett, Roy D. Welch
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA
14th IEEE International Conference on High Performance and Communications (HPCC), 2012


   title={Rootbeer: Seamlessly using GPUs from Java},

   author={Pratt-Szeliga, Philip C. and Fawcett, James W. and Welch, Roy D.},



Download Download (PDF)   View View   Source Source   Source codes Source codes



When converting a serial program to a parallel program that can run on a Graphics Processing Unit (GPU) the developer must choose what functions will run on the GPU. For each function the developer chooses, he or she needs to manually write code to: 1) serialize state to GPU memory, 2) define the kernel code that the GPU will execute, 3) control the kernel launch and 4) deserialize state back to CPU memory. Rootbeer is a project that allows developers to simply write code in Java and the (de)serialization, kernel code generation and kernel launch is done automatically. This is in contrast to Java language bindings for CUDA or OpenCL where the developer still has to do these things manually. Rootbeer supports all features of the Java Programming Language except dynamic method invocation, reflection and native methods. The features that are supported are: 1) single and multi-dimensional arrays of primitive and reference types, 2) composite objects, 3) instance and static fields, 4) dynamic memory allocation, 5) inner classes, 6) synchronized methods and monitors, 7) strings and 8) exceptions that are thrown or caught on the GPU. Rootbeer is the most full-featured tool to enable GPU computing from within Java to date. Rootbeer is highly tested. We have 21k lines of product code and 6.5k lines of test cases that all pass on both Windows and Linux. We have created 3 performance example applications with results ranging from 3X slow-downs to 100X speed-ups. Rootbeer is free and open-source software licensed under the MIT license.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2021 hgpu.org

All rights belong to the respective authors

Contact us: