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provide a performance or efficiency advantage, and determine scenarios where conventional AI accelerators (such as embedded GPUs or FPGA-based accelerators) remain more appropriate due to data
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Engineering). Our partners and funding projects provide access to hardware testbeds, such as RISC-V vector processors, ARM-SVE processors, x86 clusters, FPGAs, etc. As a postdoctoral researcher you will be
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