RISC-V Vector AI: Multi-Precision GEMM Accelerator

A leading university in Italy seeks a researcher for a position focused on the design and evaluation of matrix-acceleration solutions for AI workloads. This role involves developing a floating-point systolic GEMM accelerator, integrating it within a RISC-V vector cluster, and validating the functionality. Candidates will contribute to improving technological approaches in AI acceleration, aligning with European technological goals. The position aims to enhance methodologies for multi-tile heterogeneous compute systems.
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