Optimizing ML Workload Partitioning between CPUs and CIM Accelerators for Heterogeneous Computing

Joel Klein, Rebecca Pelke, Roberto Laudani +2

Computing-in-Memory (CIM) accelerators execute Matrix-Vector Multiplications (MVMs) in memory, making them a compelling solution for Machine Learning (ML) workloads. However, exist…