Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T04:49:48.064177Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2607.22432.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T04:49:48.064177Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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
65 of 65 outbound references displayed
External citation measurements
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters 1965.Handbook of mathemat- ical functions: with formulas, graphs, and mathematical tables
Reference 1
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Demystifying AI Platform Design for Distributed Inference of Next-Generation LLM models
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Conte, Mary Ann Hirsch, and W-MW Hwu
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 11
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters NVIDIA CUTLASS.https://github.com/NVIDIA/ cutlass
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 13
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Echo: Simulating Distributed Training At Scale
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 16
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 17
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 21
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 22
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 26
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Lumos: Efficient Performance Modeling and Estimation for Large-scale LLM Training
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 28
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 29
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 30
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 31
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 32
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 33
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 34
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 35
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 37
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters ThunderKittens: Simple, Fast, and Adorable AI Kernels
Reference 38
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 39
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 40
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
Reference 42
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Unresolved cited work
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters PipeWeave: Synergizing Analytical and Learning Models for Unified GPU Performance Prediction
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Reference 55
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters TileLink: Generating Efficient Compute-Communication Overlapping Kernels using Tile-Centric Primitives
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Reference 58
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters In2021 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters In2021 USENIX Annual Technical Conference (USENIX ATC 21)
Reference 2021
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TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters InProceedings of the 50th Annual International Symposium on Computer Architecture
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No inbound Pith citation observations are available.