A Workflow for Offering Hardware Accelerators as a Cloud Computing Service: Implementation and Evaluation

Tırlıoğlu, Anıl
Cloud computing and hardware accelerators are two paradigm changes in the field of information technologies and computers. Accordingly, this thesis proposes a workflow for offering users hardware accelerators implemented on FPGA as computing resources in a heterogeneous cloud data center. To this end, we perform the virtualization of FPGA resources as reconfigurable regions (RRs) and provide these resources through OpenStack, an open-source cloud resource management platform. Our workflow is designed for SoC FPGA platforms with a processor. The OpenStack module in the SoC processor is implemented as embedded software that works with other OpenStack modules. An accelerator image selected by the user can be programmed to an RR through OpenStack. The FPGA platform in our architecture features 40 Gbps Ethernet IP Cores and an on-chip switch that enables the communication of the RRs with each other, the SoC processor and the 40 Gbps Ethernet. To this end, distributed accelerator implementations can be realized on the same FPGA, and data received from the users can be processed and delivered back to the user. We explore OpenCL-based accelerator realization, which defines the data exchange between the accelerators and the CPU software. Furthermore, we demonstrate the implementation of the accelerators as stand-alone IP cores together with their wrappers in a more custom design flow. We implement the entire workflow on the Xilinx ZC706 board. The functional correctness and performance experiments are conducted throughout the thesis work. The experiments cover the effects of the Ethernet interface on the performance in accordance with the cloud data center operation.


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Citation Formats
A. Tırlıoğlu, “A Workflow for Offering Hardware Accelerators as a Cloud Computing Service: Implementation and Evaluation,” M.S. - Master of Science, Middle East Technical University, 2022.