Scalable Multi-GPU Simulation of 3D Multicellular Growth with RNN-Based Workload Balancing

arXiv:2608.25890 · cs.DC, cs.CE, cs.LG, math.OC · Submitted 2026-08-26 · Read on arXiv

cs.DC, cs.CE, cs.LG, math.OC

Submitted: 2026-08-26

Updated: 2026-08-26

Comments: 10 pages, 9 figures. Currently under review for IEEE BigData 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Core — 4× in this paper · explained in 2 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Computational Biology — 3× in this paper · explained in 2 episodes
• Agent-Based Simulation — 2× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes

Related papers

• iScheduler: Reinforcement Learning-Driven Continual Optimization for Large-Scale Resource Investment Problems
• SAMM: Sharded Automated Market Maker
• InferScale: GPU-Native KV Injection for Personalized LLM Serving
• Vigil: Accountable Liveness against Selective Silence
• Steelhead: Interleaving Partially Synchronous and Asynchronous Commit Rules on a Shared DAG
• Pushing CPU Speech Synthesis to the Wall: Extreme Inference Tuning under Serverless Architecture and Billing