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exposing hardware accelerators, such as GPUs and FPGAs, in a seamless and portable way. This includes designing execution logic and resource-scheduling strategies that make efficient use of available
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tasks across distributed infrastructures. A key aspect of the position involves integrating and exposing hardware accelerators, such as GPUs and FPGAs, in a seamless and portable way. This includes
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Engineering). Our partners and funding projects provide access to hardware testbeds, such as RISC-V vector processors, Fujitsu A64FX, AWS Graviton3, FPGAs, etc. As PhD student, 80% of your time be devoted
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