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Heterogeneous Cloud Computing: Design Methodology to Combine Hardware Accelerators Host Publication: 4th international conference on cloud computing technologies and applications Authors: B. da Silva Gomes, J. G Cornelis, A. Braeken, H. D'hollander Erik, J. Lemeire and A. Touhafi Publisher: IEEE Publication Date: May. 2019 Number of Pages: 8 ISBN: 978-1-7281-1637-2 , 978-1-7281-1636-5, 978-1-7281-1638-9
Abstract: Heterogeneous cloud computing servers provide access to different types of hardware accelerators in order to satisfy the computational demands that standalone generalpurpose multi-processors can not deliver. The combination of different technologies provides more opportunities to accelerate the most compute-intensive applications by exploiting the key features of each type of hardware accelerator. Unfortunately, the design effort drastically increases when considering complex applications. We propose a methodology which provides an early speedup prediction when combining hardware accelerators and insights about potential performance leaks. In addition, we consider a couple of metrics to analize the computational use of the accelerators and the exploitation of the heterogeneous system. Our methodology is applied to a real-time surveillance system, which is composed of Field-Programmable Gate Arrays (FPGA) and Graphic-Processing Units (GPU). The methodology is used to provide an early speedup prediction, which is used to guide the combination of both accelerators. The achieved acceleration is only a 3:5% lower than estimated by our methodology. External Link.
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