Author

Joel Klein

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Jul 2026

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

An Integer Linear Programming (ILP)-based workload partitioning framework for heterogeneous CPU-CIM systems that minimizes end-to-end inference latency under RRAM constraints, captures parallelism, and combines empirical profiling with analytical models is proposed.

Joel Klein, Rebecca Pelke, Roberto Laudani et al. · arXiv.org · 0 citations