Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T12:30:57.065247Z
Paper Citation Record · LEDGER
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster
As of 17 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2605.24461.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
52 of 52 outbound references displayed
- verified exact1
- verified fuzzy48
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 72c905c2-b5e6-4cab-a737-25334a5428ce · outbound
This paper cites an unresolved cited work.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T05:46:02.718250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e2339dcb-4268-4ef2-a26e-20b43aa5c974 · outbound
This paper cites Processor state control for your EC2 instance, April 2024.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Processor state control for your EC2 instance, April 2024
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.721287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation de8c3102-aa1e-4485-8a9d-7ed7a073fc9f · outbound
This paper cites AMD and OpenAI Announce Strate- gic Partnership to Deploy 6 Gigawatts of AMD GPUs, 2025.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster AMD and OpenAI Announce Strate- gic Partnership to Deploy 6 Gigawatts of AMD GPUs, 2025
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.714709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4874f013-3028-4bda-984a-d2e9bbf12e85 · outbound
This paper cites A taxonomy and survey of energy- efficient data centers and cloud computing systems.Ad- vances in computers, 82:47–111, 2011.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster A taxonomy and survey of energy- efficient data centers and cloud computing systems.Ad- vances in computers, 82:47–111, 2011
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.728187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e0ffb533-edc1-4c3d-98be-6c16d8b69de1 · outbound
This paper cites A survey of design techniques for system- level dynamic power management.IEEE transactions on very large scale integration (VLSI) systems, 8(3):299– 316, 2002.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster A survey of design techniques for system- level dynamic power management.IEEE transactions on very large scale integration (VLSI) systems, 8(3):299– 316, 2002
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.734910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8fddd231-9c29-45b8-a595-bf8811bc0cfb · outbound
This paper cites Bhattacharya, David Culler, Aman Kansal, Sri- ram Govindan, and Sriram Sankar.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Bhattacharya, David Culler, Aman Kansal, Sri- ram Govindan, and Sriram Sankar
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.708216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e22a4dfc-0fb0-41d8-935c-5f7fd0cf97fe · outbound
This paper cites Power Stabilization for AI Training Datacenters.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Power Stabilization for AI Training Datacenters
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T12:34:38.632486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 87089e95-0a93-49ec-bc46-a2845c3741c3 · outbound
This paper cites Scaling llama 3 training with efficient parallelism strategies.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Scaling llama 3 training with efficient parallelism strategies
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.724894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f8ff5e1b-46cd-4f5c-a511-efcd86df944a · outbound
This paper cites Data center energy consumption modeling: A survey.IEEE Communications surveys & tutorials, 18(1):732–794, 2015.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Data center energy consumption modeling: A survey.IEEE Communications surveys & tutorials, 18(1):732–794, 2015
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.704012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3ae42602-baef-4bd6-8e4e-a3ca2f131980 · outbound
This paper cites Electricity explained: Electricity generation, capacity, and sales in the United States, 2024.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Electricity explained: Electricity generation, capacity, and sales in the United States, 2024
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.711401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 91538666-413e-426f-9c9b-591dcb4967c5 · outbound
This paper cites an unresolved cited work.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T05:46:02.737846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3aaebe45-5b41-4b6a-95a5-b2d5ddee39d9 · outbound
This paper cites an unresolved cited work.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T05:46:02.693659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7463e82f-defa-4c71-b46e-3e47675917ca · outbound
This paper cites Unified architecture - opc foundation.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Unified architecture - opc foundation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.731647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6eb803ed-f26c-44d0-af73-f6e36b751e17 · outbound
This paper cites How much power oversubscription is safe and allowed in data cen- ters? InProceedings of the 8th International Conference on Autonomic Computing (ICAC 2011), pages 91–100.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster How much power oversubscription is safe and allowed in data cen- ters? InProceedings of the 8th International Conference on Autonomic Computing (ICAC 2011), pages 91–100
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.700286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5475ab8d-e404-4c7e-b371-d3185f2fbd64 · outbound
This paper cites CPU platforms, April 2024.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster CPU platforms, April 2024
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.696434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6948e6ec-8889-445c-99fc-ef6f85832a07 · outbound
This paper cites Statisti- cal profiling-based techniques for effective power provi- sioning in data centers.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Statisti- cal profiling-based techniques for effective power provi- sioning in data centers
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.580493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 84d2388b-bb5a-4b7b-9bec-6b65e9bdc571 · outbound
This paper cites The open protocol standard for computerized building systems: Bacnet.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster The open protocol standard for computerized building systems: Bacnet
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.670867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 851db4b3-bec3-485f-aabc-8a77009907b7 · outbound
This paper cites Haque, Yuxiong He, Sameh Elnikety, Thu D.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Haque, Yuxiong He, Sameh Elnikety, Thu D
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.548388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 80dd1f84-4ac8-458d-bac7-b6b9a562a16f · outbound
This paper cites SmoothOperator: Reducing Power Frag- mentation and Improving Power Utilization in Large- Scale Datacenters.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster SmoothOperator: Reducing Power Frag- mentation and Improving Power Utilization in Large- Scale Datacenters
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.644858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a5607c7b-d31e-427f-99b3-0eb0a9cc872e · outbound
This paper cites WattWiser: Power & Resource-Efficient Schedul- ing for Multi-Model Multi-GPU Inference Servers.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster WattWiser: Power & Resource-Efficient Schedul- ing for Multi-Model Multi-GPU Inference Servers
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.631959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d5f641c9-fbc4-4449-90f8-30ca6b0bdab6 · outbound
This paper cites SLO-aware GPU DVFS for Energy-efficient LLM Inference Serving.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster SLO-aware GPU DVFS for Energy-efficient LLM Inference Serving
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.661442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation abc2a1b5-6b84-4cb8-bf9d-e574bbf0119f · outbound
This paper cites AutoScale: Energy Efficiency Optimization for Stochastic Edge In- ference Using Reinforcement Learning.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster AutoScale: Energy Efficiency Optimization for Stochastic Edge In- ference Using Reinforcement Learning
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.591656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8271f58c-3e54-4c70-b954-1d198b569685 · outbound
This paper cites Power capping of CPU-GPU heterogeneous systems through coordinat- ing DVFS and task mapping.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Power capping of CPU-GPU heterogeneous systems through coordinat- ing DVFS and task mapping
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.572891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2e5c2187-427e-4c18-b9bf-bc7ce9e92180 · outbound
This paper cites Tullsen, and Tajana Simunic Rosing.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Tullsen, and Tajana Simunic Rosing
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.581321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b9666016-0066-44ad-a2e6-eb3af8b3223c · outbound
This paper cites Misra, Seyyed Ahmad Javadi, Bianca Schroeder, Marcus Fontoura, and Ricardo Bianchini.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Misra, Seyyed Ahmad Javadi, Bianca Schroeder, Marcus Fontoura, and Ricardo Bianchini
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.583132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a1975e13-3468-49fa-9cae-50a7ec928fee · outbound
This paper cites Thunderbolt: Throughput-Optimized, Quality-of-Service-Aware Power Capping at Scale.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Thunderbolt: Throughput-Optimized, Quality-of-Service-Aware Power Capping at Scale
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.690389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5a0a0cc3-95e6-4338-b88f-e984db345475 · outbound
This paper cites Towards energy pro- portionality for large-scale latency-critical workloads.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Towards energy pro- portionality for large-scale latency-critical workloads
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.667205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation db14d7d8-2a7f-4a83-8701-cfee13f6b266 · outbound
This paper cites Virtual Machine series, April 2024.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Virtual Machine series, April 2024
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.657835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e7542757-e404-4e79-8d5c-7de647cf874a · outbound
This paper cites BatchSizer: Power-Performance Trade-off for DNN Inference.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster BatchSizer: Power-Performance Trade-off for DNN Inference
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.570479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f48b1171-c191-4d65-8c75-3eb94d495892 · outbound
This paper cites Coordinated Batching and DVFS for DNN Inference on GPU Accelerators.IEEE Trans- actions on Parallel and Distributed Systems, 33(10), 2022.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Coordinated Batching and DVFS for DNN Inference on GPU Accelerators.IEEE Trans- actions on Parallel and Distributed Systems, 33(10), 2022
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.651439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b4c98298-c5f7-43e5-b200-9345d939a1f7 · outbound
This paper cites Twig: Multi-Agent Task Manage- ment for Colocated Latency-Critical Cloud Services.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Twig: Multi-Agent Task Manage- ment for Colocated Latency-Critical Cloud Services
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.575071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f2cd11b4-e76d-40cd-9f48-d4c2d47879fa · outbound
This paper cites OpenAI and NVIDIA An- nounce Strategic Partnership to Deploy 10 Gigawatts of NVIDIA Systems, 2025.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster OpenAI and NVIDIA An- nounce Strategic Partnership to Deploy 10 Gigawatts of NVIDIA Systems, 2025
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.545529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2de02922-2cef-406a-8bc4-3653e82f5d72 · outbound
This paper cites OpenAI and Broadcom announce strategic col- laboration to deploy 10 gigawatts of OpenAI-designed AI accelerators, 2025.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster OpenAI and Broadcom announce strategic col- laboration to deploy 10 gigawatts of OpenAI-designed AI accelerators, 2025
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.577762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 66263c21-cd30-494f-a325-83bee8bd10a1 · outbound
This paper cites OpenAI, Oracle, and SoftBank expand Stargate with five new AI data center sites, 2025.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster OpenAI, Oracle, and SoftBank expand Stargate with five new AI data center sites, 2025
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.611543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1c47f2c6-65ec-4783-aa8d-a3b0eef2bc7d · outbound
This paper cites Expanding datacenter capacity with dvfs boosting: A safe and scalable deployment ex- perience.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Expanding datacenter capacity with dvfs boosting: A safe and scalable deployment ex- perience
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.564075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0a806dd3-2a97-4f29-b51f-e27e2688c3ac · outbound
This paper cites Ranganathan, P.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Ranganathan, P
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.550917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 93fd5d00-5d15-4d4d-95b2-5493a11de0d0 · outbound
This paper cites Data Center Power Oversubscription with a Medium V olt- age Power Plane and Priority-Aware Capping.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Data Center Power Oversubscription with a Medium V olt- age Power Plane and Priority-Aware Capping
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.625231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1ba145c3-cc0f-429e-8665-e942798c788e · outbound
This paper cites From words to watts: Benchmarking the energy costs of large language model inference.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster From words to watts: Benchmarking the energy costs of large language model inference
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.685285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8481cfbd-1fa3-4a3c-8ec3-c615c4c3fa60 · outbound
This paper cites EcoFaaS: Rethinking the Design of Serverless Environments for Energy Effi- ciency.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster EcoFaaS: Rethinking the Design of Serverless Environments for Energy Effi- ciency
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.681865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5032e631-9972-4e92-96c3-00c8423b4553 · outbound
This paper cites SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.616687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2773df6f-a29e-472f-84e7-57db913be413 · outbound
This paper cites DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.620516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f8a068a5-93e1-4dec-a6a0-289d090ce8c2 · outbound
This paper cites Rush, David Brooks, and Gu-Yeon Wei.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Rush, David Brooks, and Gu-Yeon Wei
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.636166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d1f328a5-5d23-4083-bff8-a974c344a6b8 · outbound
This paper cites The Impact of GPU DVFS on the En- ergy and Performance of Deep Learning: An Empirical Study.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster The Impact of GPU DVFS on the En- ergy and Performance of Deep Learning: An Empirical Study
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.608151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 05f915bf-af73-4bfa-bc05-af26ced3b124 · outbound
This paper cites Introduction to the modbus protocol.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Introduction to the modbus protocol
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.584781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 58a11846-e8f2-4fc5-ad2d-dc6ab45d4124 · outbound
This paper cites ALERT: Accurate learning for energy and timeliness.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster ALERT: Accurate learning for energy and timeliness
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.598998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 319ed90e-bf31-42b5-8da6-b6b7a0046b36 · outbound
This paper cites Dynamic GPU Energy Optimiza- tion for Machine Learning Training Workloads.IEEE Transactions on Parallel and Distributed Systems, 2022.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Dynamic GPU Energy Optimiza- tion for Machine Learning Training Workloads.IEEE Transactions on Parallel and Distributed Systems, 2022
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.593470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fe177fe5-3077-4ff5-b265-4fc6dddefeda · outbound
This paper cites Dynamo: Facebook’s Data Center- Wide Power Management System.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Dynamo: Facebook’s Data Center- Wide Power Management System
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.596243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cf35ea9c-0b3b-4f9b-a448-c265c33ba85c · outbound
This paper cites Zeus: Understanding and optimizing GPU energy con- sumption of DNN training.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Zeus: Understanding and optimizing GPU energy con- sumption of DNN training
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.589020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9859637f-7dbd-47fd-80ac-ce8730a418ef · outbound
This paper cites Know Your Enemy To Save Cloud Energy: Energy- Performance Characterization of Machine Learning Serving.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Know Your Enemy To Save Cloud Energy: Energy- Performance Characterization of Machine Learning Serving
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.604210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 552850f5-07ca-414b-bd96-c00b5ad8fa23 · outbound
This paper cites Misra, Rod As- sis, Kyle Woolcock, Nithish Mahalingam, Brijesh War- rier, David Gauthier, Lalu Kunnath, Steve Solomon, Os- valdo Morales, Marcus Fontoura, and Ricardo Bianchini.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Misra, Rod As- sis, Kyle Woolcock, Nithish Mahalingam, Brijesh War- rier, David Gauthier, Lalu Kunnath, Steve Solomon, Os- valdo Morales, Marcus Fontoura, and Ricardo Bianchini
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.678376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3c793dd0-275f-4d73-9467-88c580f645be · outbound
This paper cites Improving GPU Energy Efficiency through an Application-transparent Frequency Scaling Policy with Performance Assurance.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Improving GPU Energy Efficiency through an Application-transparent Frequency Scaling Policy with Performance Assurance
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.586057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 40604a14-0b78-4884-ae3d-1aab3d53e0b9 · outbound
This paper cites Indicator-Directed Dynamic Power Management for It- erative Workloads on GPU-Accelerated Systems.
Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Indicator-Directed Dynamic Power Management for It- erative Workloads on GPU-Accelerated Systems
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T05:46:02.588616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.