Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
Brook for GPUs: stream computing on graphics hardware
ACM SIGGRAPH 2004 Papers
Scout: A Hardware-Accelerated System for Quantitatively Driven Visualization and Analysis
VIS '04 Proceedings of the conference on Visualization '04
OpenGL(R) Programming Guide: The Official Guide to Learning OpenGL(R), Version 2 (5th Edition) (OpenGL)
Parallel LDPC decoding on GPUs using a stream-based computing approach
Journal of Computer Science and Technology - Special section on trust and reputation management in future computing systmes and applications
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The massive computational power available in off-the shelf Graphics Processing Units (GPUs) can pave the way for its usage in general purpose applications. Current interfaces to program GPU operation are still oriented towards graphics processing. This paper is focused in disparities on those programming interfaces and proposes an extension to of the recently developed Caravela library that supports streambased computation. This extension implements effective methods to counterbalance the disparities and differences in graphics runtime environments. Experimental results show that these methods improve performance of GPU-based applications by more than 50% and demonstrate that the proposed extended interface can be an effective solution for generalpurpose programming on GPUs.