TY - GEN
T1 - Enabling FPGAs in hyperscale data centers
AU - Weerasinghe, Jagath
AU - Abel, Francois
AU - Hagleitner, Christoph
AU - Herkersdorf, Andreas
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/7/20
Y1 - 2016/7/20
N2 - FPGAs (Field Programmable Gate Arrays) are making their way into data centers (DCs) and are used to offload and accelerate specific services, but they are not yet available to cloud users. This puts the cloud deployment of compute-intensive workloads at a disadvantage compared with on-site infrastructure installations, where the performance and energy efficiency of FPGAs are increasingly being exploited for application-specific accelerators and heterogeneous computing. The cloud is housed in DCs, and DCs are based on ever shrinking servers. Today, we observe the emergence of hyper scale data centers, which are based on densely packaged servers. The shrinking form factor brings the potential to deploy FPGAs on a large scale in such DCs. These FPGAs must be deployed as independent DC resources, and they must be accessible to the cloud users. Therefore, we propose to change the traditional paradigm of the CPU-FPGA interface by decoupling the FPGA from the CPU and connecting the FPGA as a standalone resource to the DC network. This allows cloud vendors to offer an FPGA to users in a similar way as a standard server. As existing infrastructure-as-a-service (IaaS) mechanisms are not suitable, we propose a new Open Stack (open source cloud computing software) service to integrate FPGAs in the cloud. This proposal is complemented by a framework that enables cloud users to combine multiple FPGAs into a programmable fabric. The proposed architecture and framework address the scalability problem that makes it difficult to provision large numbers of FPGAs. Together, they offer a novel solution for processing large and heterogeneous data sets in the cloud.
AB - FPGAs (Field Programmable Gate Arrays) are making their way into data centers (DCs) and are used to offload and accelerate specific services, but they are not yet available to cloud users. This puts the cloud deployment of compute-intensive workloads at a disadvantage compared with on-site infrastructure installations, where the performance and energy efficiency of FPGAs are increasingly being exploited for application-specific accelerators and heterogeneous computing. The cloud is housed in DCs, and DCs are based on ever shrinking servers. Today, we observe the emergence of hyper scale data centers, which are based on densely packaged servers. The shrinking form factor brings the potential to deploy FPGAs on a large scale in such DCs. These FPGAs must be deployed as independent DC resources, and they must be accessible to the cloud users. Therefore, we propose to change the traditional paradigm of the CPU-FPGA interface by decoupling the FPGA from the CPU and connecting the FPGA as a standalone resource to the DC network. This allows cloud vendors to offer an FPGA to users in a similar way as a standard server. As existing infrastructure-as-a-service (IaaS) mechanisms are not suitable, we propose a new Open Stack (open source cloud computing software) service to integrate FPGAs in the cloud. This proposal is complemented by a framework that enables cloud users to combine multiple FPGAs into a programmable fabric. The proposed architecture and framework address the scalability problem that makes it difficult to provision large numbers of FPGAs. Together, they offer a novel solution for processing large and heterogeneous data sets in the cloud.
KW - Cloud computing
KW - FPGA
KW - Hyperscale data centers
UR - http://www.scopus.com/inward/record.url?scp=84983404422&partnerID=8YFLogxK
U2 - 10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.199
DO - 10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.199
M3 - Conference contribution
AN - SCOPUS:84983404422
T3 - Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015
SP - 1078
EP - 1086
BT - Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015
A2 - Ma, Jianhua
A2 - Li, Ali
A2 - Ning, Huansheng
A2 - Yang, Laurence T.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015
Y2 - 10 August 2015 through 14 August 2015
ER -