1. [Publications](/publications) 2. GPUs and the Future of Parallel Computing # GPUs and the Future of Parallel Computing ![](/sites/default/files/styles/wide/public/pubs/2011-09_GPUs-and-the/default.jpg?itok=YZ1XbUjt) This article discusses the capabilities of state-of-the art GPU-based high-throughput computing systems and considers the challenges to scaling single-chip parallel-computing systems, highlighting high-impact areas that the computing research community can address. NVIDIA Research is investigating an architecture for a heterogeneous high-performance computing system that seeks to address these challenges. ## Authors [Steve Keckler](/person/stephen-keckler) [William Dally](/person/william-dally) [Brucek Khailany](/person/brucek-khailany) [Michael Garland](/person/michael-garland) David Glasco (NVIDIA) ## Publication Date Thursday, September 1, 2011 ## Published in [IEEE Micro](http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6045685&tag=1) ## Research Area [Computer Architecture](/research-area/computer-architecture) ## External Links [Published manuscript (IEEE Digital Library)](http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6045685&tag=1) ## Copyright This material is posted here with permission of the IEEE. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to .