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cs.DC2026
LGNNIC: Acceleration of Large-Scale GNN Training using SmartNICs
Liad Gerstman, Aditya Dhakal, Dejan Milojicic +1
Graph Neural Networks (GNNs) are widely used across domains such as natural sciences, social network analysis, chip design, and recommendation systems. However, as graph sizes grow…
cs.DC2026
Energy-Aware Scheduling for Serverless LLM Serving on Shared GPUs
Tianyu Wang, Gourav Rattihalli, Aditya Dhakal +2
As LLM inference becomes a major cloud workload, its growing energy footprint makes cluster-wide energy optimization increasingly important. Serverless LLM serving helps platforms…
cs.DC2026
ObjectCache: Layerwise Object-Storage Retrieval for KV Cache Reuse
Yu Zhu, Aditya Dhakal, Yunming Xiao +2
Prefix KV caching has become a key mechanism in LLM serving: it reduces time to first token (TTFT) by avoiding redundant computation across requests that share a prefix (i.e., the…