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From the 1 of 9 linked papers with an AI index.

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9 papers

cs.DC2026

ClusterBench: A Framework for Cluster-Wide Continuous Benchmarking and Regression Testing

Aditya Ujeniya, Jan Eitzinger, Thomas Gruber +2

Data centers need tooling that validates an entire installation rather than individual nodes, at acceptance and at regular intervals thereafter. This requires dispatching identical…

cs.PF2026

Architectural Trade-offs in the Energy-Efficient Era: A Comparative Study of power-capping NVIDIA H100 and H200

Aditya Ujeniya, Jan Eitzinger, Georg Hager +1

The paper compares NVIDIA H100 and H200 GPUs under different power caps, focusing on how memory bandwidth and power distribution affect performance per watt for compute‑bound and m…

cs.DC2026

Kamera: Unified Position-Invariant Multimodal KV Cache for Training-Free Reuse

Bole Ma, Jan Eitzinger, Harald Koestler +1

Multimodal agents repeatedly re-examine the same video frames, UI screenshots, and rendered artifacts as their context window slides and reasoning iterates, yet every look-back re-…

cs.DC2026

Move the Query, Not the Cache: Characterizing Cross-Instance Latent Attention Redistribution Across GPU Fabrics

Bole Ma, Jan Eitzinger, Harald Köstler +1

Frontier LLMs increasingly decide what a query attends to with a sparse-attention indexer that picks a few KV-cache blocks per query: attention's unit is now a small, reusable chun…

cs.DC2026

Leyline: KV Cache Directives for Agentic Inference

Bole Ma, Jan Eitzinger, Harald Koestler

Modern KV cache management assumes the chatbot workload: prompts arrive once and the cache grows append-only, so prefix caching and forward-only eviction are correct by constructio…

cs.DC2026

Diagnosing Overhead in Dispatch Operations: Cross-architecture Observatory

Bole Ma, Jan Eitzinger, Harald Koestler +1

AlltoAll dispatch is the dominant bottleneck of MoE expert parallelism, and the interconnect community has responded with four families of mitigations: predictive sample placement,…