@article {Simula.simula.2480,
	title = {Modeling and Predicting Performance of High Performance Computing Applications on Hardware Accelerators},
	journal = {International Journal of High Performance Computing Applications},
	volume = {27},
	number = {2},
	year = {2013},
	month = {May},
	pages = {89-108},
	abstract = {Hybrid-core systems speedup applications by offloading certain compute operations that can run faster on hardware accelerators. However, such systems require significant programming and porting effort to gain a performance benefit from the accelerators. Therefore, prior to porting it is prudent to investigate the predicted performance benefit of accelerators for a given workload. To address this problem we present a performance-modeling framework that predicts the application performance rapidly and accurately for hybrid-core systems. We present predictions for two full-scale HPC applications-HYCOM and Milc. Our results for two accelerators (GPU and FPGA) show that gather/scatter and stream operations can speedup by as much as a factor of 15 and overall compute time of Milc and HYCOM improve by 3.4\% and 20\%, respectively. We also show that in order to benefit from the accelerators, 70\% of the latency of data transfer time between the CPU and the accelerators needs to be overcome.},
	doi = {10.1177/1094342012468180},
	author = {Mitesh R. {Meswani} and Carrington, Laura and Unat, Didem and Snavely, Allan and Baden, Scott and Poole, Stephen}
}
@inproceedings {Simula.simula.1734,
	title = {Modeling and Predicting Performance of High Performance Computing Applications on Hardware Accelerators},
	journal = {Proceedings of IEEE 26th International Parallel and Distributed Processing Symposium Workshops \& PhD Forum},
	year = {2012},
	pages = {1828-1837},
	publisher = {IEEE Computer Society},
	type = {Workshop},
	keywords = {Workshop},
	doi = {10.1109/IPDPSW.2012.226},
	author = {Mitesh, Meswani and Carrington, Laura and Unat, Didem and Snavely, Allan and Baden, Scott and Poole, Stephen}
}
