A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach
CoRR(2024)
摘要
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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