JaBEE: framework for object-oriented Java bytecode compilation and execution on graphics processor units

Authors:
Wojciech Zaremba;Yuan Lin;Vinod Grover
Affiliations:
Jacques-Louis Lions Laboratory;NVIDIA Corporation;NVIDIA Corporation
Venue:
Proceedings of the 5th Annual Workshop on General Purpose Processing with Graphics Processing Units
Year:
2012

Citing 14
Cited 1

Reducing indirect function call overhead in C++ programs

POPL '94 Proceedings of the 21st ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Profile-guided receiver class prediction

Proceedings of the tenth annual conference on Object-oriented programming systems, languages, and applications
Escape analysis for Java

Proceedings of the 14th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Compositional pointer and escape analysis for Java programs

Proceedings of the 14th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
A study of devirtualization techniques for a Java Just-In-Time compiler

OOPSLA '00 Proceedings of the 15th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Java Virtual Machine Specification

Java Virtual Machine Specification
Inlining of Virtual Methods

ECOOP '99 Proceedings of the 13th European Conference on Object-Oriented Programming
Escape analysis for JavaTM: Theory and practice

ACM Transactions on Programming Languages and Systems (TOPLAS)
JCUDA: A Programmer-Friendly Interface for Accelerating Java Programs with CUDA

Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
Implementing sparse matrix-vector multiplication on throughput-oriented processors

Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
Accelerating MATLAB Image Processing Toolbox functions on GPUs

Proceedings of the 3rd Workshop on General-Purpose Computation on Graphics Processing Units
VMKit: a substrate for managed runtime environments

Proceedings of the 6th ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
Accelerating Haskell array codes with multicore GPUs

Proceedings of the sixth workshop on Declarative aspects of multicore programming
Firepile: run-time compilation for GPUs in scala

Proceedings of the 10th ACM international conference on Generative programming and component engineering

A Framework for Multiplatform HPC Applications

Proceedings of Programming Models and Applications on Multicores and Manycores

Quantified Score

Hi-index	0.00

Visualization

Abstract

There is an increasing interest from software developers in executing Java and .NET bytecode programs on General Purpose Graphics Processor Units (GPGPUs). Existing solutions have limited support for operations on objects and often require explicit handling of memory transfers between CPU and GPU. In this paper, we describe a Java Bytecode Execution Environment (JaBEE) which supports common object-oriented constructs such as dynamic dispatch, encapsulation and object creation on GPUs. This experimental environment facilitates GPU code compilation, execution and transparent memory management. We compare the performance of our approach with CPU-based and CUDA-C-based code executions of the same programs. We discuss challenges, limitations and opportunities of bytecode execution on GPGPUs.