@article{11318,
  author = {Mitesh Meswani and Laura Carrington and Didem Unat and Allan Snavely and Scott Baden and Stephen Poole},
  title = {Modeling and Predicting Performance of High Performance Computing Applications on Hardware Accelerators},
  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.},
  year = {2013},
  journal = {International Journal of High Performance Computing Applications},
  volume = {27},
  number = {2},
  pages = {89-108},
  month = {May},
  doi = {10.1177/1094342012468180},
}