DDB extends interactive source-level debugging to distributed applications via cross-RPC backtrace reconstruction, intent-preserving breakpoint propagation, and pause-erased time virtualization, achieving 100% fault localization in a user study vs. 38.5% for baseline tools.
Lyra: Elastic scheduling for deep learning clusters
5 Pith papers cite this work, alongside 18 external citations. Polarity classification is still indexing.
5
Pith papers citing it
18
external citations · external index
years
2026 5representative citing papers
Flash endurance is priced via shadow price η making placement cost-optimal for any sign of value-write correlation χ, with χ positive only in recurrent long-horizon manipulation and the budget binding only on low-endurance commodity hardware.
ROSE is a system for cooperative elasticity that co-locates serving and rollout models on shared GPUs, delivering 1.3-3.3x higher end-to-end throughput than fixed-resource baselines while preserving serving SLOs.
Equilibria delivers per-container fairness controls and observability for CXL memory tiering, improving production workload performance by up to 52% over Linux TPP while suppressing noisy-neighbor interference.
CoLLM unifies FL PEFT and inference on shared edge replicas via intra-replica model sharing and two-timescale inter-replica coordination, achieving up to 3x higher goodput than prior LLM systems.
citing papers explorer
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DDB: Source-Level Interactive Debugging for Distributed Applications
DDB extends interactive source-level debugging to distributed applications via cross-RPC backtrace reconstruction, intent-preserving breakpoint propagation, and pause-erased time virtualization, achieving 100% fault localization in a user study vs. 38.5% for baseline tools.
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Memory as a Wasting Asset: Pricing Flash Endurance for Embodied Agents, and the Limits of Doing So
Flash endurance is priced via shadow price η making placement cost-optimal for any sign of value-write correlation χ, with χ positive only in recurrent long-horizon manipulation and the budget binding only on low-endurance commodity hardware.
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ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL
ROSE is a system for cooperative elasticity that co-locates serving and rollout models on shared GPUs, delivering 1.3-3.3x higher end-to-end throughput than fixed-resource baselines while preserving serving SLOs.
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Equilibria: Fair Multi-Tenant CXL Memory Tiering At Scale
Equilibria delivers per-container fairness controls and observability for CXL memory tiering, improving production workload performance by up to 52% over Linux TPP while suppressing noisy-neighbor interference.
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CoLLM: Continuous Adaptation for SLO-Aware LLM Serving on Shared GPU Clusters
CoLLM unifies FL PEFT and inference on shared edge replicas via intra-replica model sharing and two-timescale inter-replica coordination, achieving up to 3x higher goodput than prior LLM systems.