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arXiv · 2312.09401

Inter-Layer Scheduling Space Exploration for Multi-model Inference on Heterogeneous Chiplets

Mohanad Odema·Hyoukjun Kwon·Mohammad Abdullah Al Faruque
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Abstract

To address increasing compute demand from recent multi-model workloads with heavy models like large language models, we propose to deploy heterogeneous chiplet-based multi-chip module (MCM)-based accelerators. We develop an advanced scheduling framework for heterogeneous MCM accelerators that comprehensively consider complex heterogeneity and inter-chiplet pipelining. Our experiments using our framework on GPT-2 and ResNet-50 models on a 4-chiplet system have shown upto 2.2x and 1.9x increase in throughput and energy efficiency, compared to a monolithic accelerator with an optimized output-stationary dataflow.

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Mohanad Odema, Hyoukjun Kwon, Mohammad Abdullah Al Faruque. 2023-12-14. Inter-Layer Scheduling Space Exploration for Multi-model Inference on Heterogeneous Chiplets. https://arxiv.org/abs/2312.09401

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