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, such as GPUs and FPGAs, to offloading applications in a seamless and portable way. This includes implementing runtime logic and resource scheduling strategies that can leverage available hardware
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based on C/C++ and Linux) for heterogeneous distributed computer systems, assistance in running experiments, and system administration for the project’s special hardware (such as GPU servers, Raspberry-Pi
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