A new arXiv paper explores the use of best-effort high-performance computing (HPC) for digital evolution, particularly with emerging hardware like the Cerebras Wafer-Scale Engine (WSE). The research addresses challenges in data storage, movement, and hardware failures inherent in such systems. The paper proposes a framework for measuring best-effort code behavior and presents case studies demonstrating its application in multicellularity evolution models and WSE-based simulations, highlighting its potential for developing post-deterministic HPC paradigms. AI
IMPACT This research could inform the development of more resilient and efficient high-performance computing for AI and digital evolution applications.
RANK_REASON The cluster contains a research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
Read on arXiv cs.NE (Neural & Evolutionary) →
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