@article{e99a5dd20d0c462a9290daabae0d2c51,
title = "High-performance computing with accelerators",
author = "Volodymyr Kindratenko and Robert Wilhelmson and Robert Brunner and Mart{\'i}ez, {Todd J.} and Hwu, {Wen Mei}",
note = "Funding Information: Currently, there{\textquoteright}s only one large GPU-based cluster serving the US computational science community—namely, Lincoln, a TeraGrid resource available at NCSA. This will be augmented in the near future by Keeneland, a Georgia Institute of Technology system funded by NSF Track 2D HPC acquisition program. On the more exotic front, Novo-G cluster, which is based on Altera field-programmable gate array (FPGA), is deployed at the University of Florida{\textquoteright}s NSF Center for High-Performance Reconfigurable Computing (CHREC). By all indications, this trend toward the use of unconventional processor architectures will continue, especially as new GPUs, such as Nvidia{\textquoteright}s Fermi, are introduced. Copyright: Copyright 2010 Elsevier B.V., All rights reserved.",
year = "2010",
month = jul,
doi = "10.1109/MCSE.2010.88",
language = "English (US)",
volume = "12",
pages = "12--16",
journal = "Computing in Science and Engineering",
issn = "1521-9615",
publisher = "IEEE Computer Society",
number = "4",
}