Arachne: Learning to Plan Distributed Training on Dynamic Heterogeneous Clusters
TaeyoonKim, YongukSong, Seoyeong Choy et al.
· 0 citations
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Book
Open access
Sep 2026
FaaSHive: Addressing Limited Visibility in Function-as-a-Service via Worker-driven Scheduling
Effective request placement in Function-as-a-Service (FaaS) platforms requires timely visibility into worker state, which changes rapidly as workers create, reuse, and evict short-lived function instances. Under the conventional cloud manager–worker architecture commonly used in FaaS platforms, however, this visibility...
Seonggyu Han, Sangwoo Kim, Minho Kim et al.
· Proceedings of the Internati... · 0 citations
Preprint
Aug 2026
Heterogeneous LLM Serving with General-Purpose Processing-Near-Memory for Retrieval-Based Sparse Attention
A heterogeneous decode-phase serving system that relocates the KV cache out of GPU memory, motivated by the retrieval-based sparse attention that recent frontier LLMs adopt to serve million-token contexts and proposes KARAT, a general-purpose PNM design that is the design point meeting all four requirements.
Hyungkyu Ham, Junhyeong Bae, Seungheon Lee et al.
· 1 citation