GenCC, a framework that leverages the code generation capabilities of large language models (LLMs), coupled with a realistic network testbed, to automatically synthesize congestion-control utility functions, demonstrates that LLMs provide a practical and effective approach to automating the design of high-performance c...
Neta Rozen-Schiff, Liron Schiff, Stefan Schmid· Conference on Applications,...· 0 citations
This paper introduces the first distributed approach to trade solution quality for running time via a parameter ε ∈ [0, 1] and provides an extensive empirical evaluation on 87 real-world and synthetic workloads showing scalability and a speedup over state-of-art algorithms up to 1-2 orders of magnitude on most instance...
Kathrin Hanauer, S. Heck, Stefan Schmid· International Conference on...· 0 citations
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