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A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach

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arxiv 2402.12612 v1 pith:DZL5YJDF submitted 2024-02-20 cs.AR

classification cs.AR
keywords dataeverestdevelopmentkernelssystemworkflowsacceleratorsachieved
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Modern big data workflows are characterized by computationally intensive kernels. The simulated results are often combined with knowledge extracted from AI models to ultimately support decision-making. These energy-hungry workflows are increasingly executed in data centers with energy-efficient hardware accelerators since FPGAs are well-suited for this task due to their inherent parallelism. We present the H2020 project EVEREST, which has developed a system development kit (SDK) to simplify the creation of FPGA-accelerated kernels and manage the execution at runtime through a virtualization environment. This paper describes the main components of the EVEREST SDK and the benefits that can be achieved in our use cases.

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