TY - GEN
T1 - An application framework for migrating GPGPU Cloud applications
AU - Yuhara, Sho
AU - Suzuki, Yusuke
AU - Kono, Kenji
N1 - Funding Information:
This work was supported by JST CREST Grant Number JPMJCR168, Japan.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/26
Y1 - 2018/12/26
N2 - Graphics Processing Units (GPUS) have become a common computing resource for general-purpose computing (GPGPU). GPU usage has also spread to high-Throughput server applications, taking advantage of its massively parallel nature and wide availability at various cloud platforms. Although various methods currently exist to share a single GPU among multiple applications, migrating GPGPU server applications across different machines is challenging due to lack of hardware mechanisms, such as programmable preemption and access to GPU context. This paper presents an event-driven framework for GPGPU server applications, which enables us to implement a software based approach for migration which overcomes current hardware limitations.
AB - Graphics Processing Units (GPUS) have become a common computing resource for general-purpose computing (GPGPU). GPU usage has also spread to high-Throughput server applications, taking advantage of its massively parallel nature and wide availability at various cloud platforms. Although various methods currently exist to share a single GPU among multiple applications, migrating GPGPU server applications across different machines is challenging due to lack of hardware mechanisms, such as programmable preemption and access to GPU context. This paper presents an event-driven framework for GPGPU server applications, which enables us to implement a software based approach for migration which overcomes current hardware limitations.
KW - Cloud Computing
KW - GPGPU
KW - Migration
UR - http://www.scopus.com/inward/record.url?scp=85061137365&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061137365&partnerID=8YFLogxK
U2 - 10.1109/CloudCom2018.2018.00026
DO - 10.1109/CloudCom2018.2018.00026
M3 - Conference contribution
AN - SCOPUS:85061137365
T3 - Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom
SP - 62
EP - 66
BT - Proceedings - IEEE 10th International Conference on Cloud Computing Technology and Science, CloudCom 2018
PB - IEEE Computer Society
T2 - 10th International Conference on Cloud Computing Technology and Science, CloudCom 2018
Y2 - 10 December 2018 through 13 December 2018
ER -