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cs.DC2024
SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization
Akrit Mudvari, Yuang Jiang, Leandros Tassiulas
Large language models (LLMs) have been a disruptive innovation in recent years, and they play a crucial role in our daily lives due to their ability to understand and generate huma…
quant-ph2024
Compiler for Distributed Quantum Computing: a Reinforcement Learning Approach
Panagiotis Promponas, Akrit Mudvari, Luca Della Chiesa +3
The practical realization of quantum programs that require large-scale qubit systems is hindered by current technological limitations. Distributed Quantum Computing (DQC) presents…