TY - GEN
T1 - Performance of deep learning computation with TensorFlow software library in GPU-capable multi-core computing platforms
AU - Mo, Young Jong
AU - Kim, Joongheon
AU - Kim, Jong Kook
AU - Mohaisen, Aziz
AU - Lee, Woojoo
N1 - Funding Information:
ACKNOWLEDGEMENT Joongheon Kim is a corresponding author of this paper. This work was supported by National Research Foundation of Korea (NRF Korea) under Grant 2016R1C1B1015406.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/26
Y1 - 2017/7/26
N2 - In this paper we measure and verify the performance improvements in deep learning computation under the support of GPU-enabled multi-core parallel computing platforms. To measure the performance practically, we built our own computing platforms using a GPU hardware (1152 cores) and the TensorFlow software library. In order to evaluate the performance with GPU, we conducted the deep learning computation with various numbers of hidden layers in multilayer perceptron. As presented in the comparative performance results, utilizing GPU hardware improved the performance in terms of computation time (about 3 times or even more).
AB - In this paper we measure and verify the performance improvements in deep learning computation under the support of GPU-enabled multi-core parallel computing platforms. To measure the performance practically, we built our own computing platforms using a GPU hardware (1152 cores) and the TensorFlow software library. In order to evaluate the performance with GPU, we conducted the deep learning computation with various numbers of hidden layers in multilayer perceptron. As presented in the comparative performance results, utilizing GPU hardware improved the performance in terms of computation time (about 3 times or even more).
UR - http://www.scopus.com/inward/record.url?scp=85028075671&partnerID=8YFLogxK
U2 - 10.1109/ICUFN.2017.7993784
DO - 10.1109/ICUFN.2017.7993784
M3 - Conference contribution
AN - SCOPUS:85028075671
T3 - International Conference on Ubiquitous and Future Networks, ICUFN
SP - 240
EP - 242
BT - ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks
PB - IEEE Computer Society
T2 - 9th International Conference on Ubiquitous and Future Networks, ICUFN 2017
Y2 - 4 July 2017 through 7 July 2017
ER -