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Real-World Constraints of GPUs in Real-Time Systems Glenn A. Elliott and James H. Anderson
 

Summary: Real-World Constraints of GPUs in Real-Time Systems
Glenn A. Elliott and James H. Anderson
Department of Computer Science, University of North Carolina at Chapel Hill
Abstract
Graphics processing units (GPUs) are becoming increas-
ingly important in today's platforms as their increased
generality allows for them to be used as powerful co-
processors. In this paper, we explore possible applica-
tions for GPUs in real-time systems, discuss the limita-
tions and constraints imposed by current GPU technol-
ogy, and present a summary of our research addressing
many such constraints.
1 Introduction
The parallel architecture of the graphics processing unit
(GPU) often allows data parallel computations to be car-
ried out at rates orders of magnitude greater than those
offered by a traditional CPU. Enabled by increased pro-
grammability and single-precision floating-point support,
the use of graphics hardware for solving non-graphical
(general purpose) computational problems began gain-

  

Source: Anderson, James - Department of Computer Science, University of North Carolina at Chapel Hill

 

Collections: Computer Technologies and Information Sciences