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Paper Citation Record · LEDGER

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach

As of 9 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.18650.

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pith.paper-citation-record.v1
2607.18650 v1

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measured 28 of 28 reference resolution

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28 of 28 outbound references displayed

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Outbound references

Observation 9a8c2707-c5cf-4e70-a6ef-cfb25b253d01 · outbound

This paper cites Benchmarking the cerebras wafer scale engine-2 architecture,.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Benchmarking the cerebras wafer scale engine-2 architecture,

Reference 1

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This paper cites Massively scalable stencil algorithm.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Massively scalable stencil algorithm

Reference 2

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This paper cites Neutrino Production via $e^-e^+$ Collision at $Z$-boson Peak.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Neutrino Production via $e^-e^+$ Collision at $Z$-boson Peak

Reference 3

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This paper cites Hilfer fractional advection-diffusion equations with power-law initial condition; a Numerical study using variational iteration method.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Hilfer fractional advection-diffusion equations with power-law initial condition; a Numerical study using variational iteration method

Reference 5

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This paper cites Breaking the mold: overcoming the time constraints of molecular dynamics on general-purpose hardware.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Breaking the mold: overcoming the time constraints of molecular dynamics on general-purpose hardware

Reference 6

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This paper cites Stateful dataflow multigraphs: A data-centric model for performance portability on heterogeneous architectures,.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Stateful dataflow multigraphs: A data-centric model for performance portability on heterogeneous architectures,

Reference 7

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This paper cites Generalized Slow Roll for Tensors.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Generalized Slow Roll for Tensors

Reference 8

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Observation d81c68c0-807e-40e2-8028-f843a16af44b · outbound

This paper cites Scaling the “memory wall.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Scaling the “memory wall

Reference 9

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This paper cites Near-optimal wafer-scale reduce,.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Near-optimal wafer-scale reduce,

Reference 10

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This paper cites The cerebras software development kit: A technical overview,.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach The cerebras software development kit: A technical overview,

Reference 11

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This paper cites A more practical PRAM model,.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach A more practical PRAM model,

Reference 12

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This paper cites BSP vs LogP,.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach BSP vs LogP,

Reference 13

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This paper cites The spatial computer: A model for energy-efficient parallel computation.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach The spatial computer: A model for energy-efficient parallel computation

Reference 14

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Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Hydrodynamics challenge problem,

Reference 15

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This paper cites Exploring traditional and emerging parallel programming models using a proxy application,.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Exploring traditional and emerging parallel programming models using a proxy application,

Reference 16

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This paper cites MLIR: Scaling compiler infrastructure for domain specific computation,.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach MLIR: Scaling compiler infrastructure for domain specific computation,

Reference 17

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This paper cites Zakharov-Ito equation and Generalized Heisenberg ferromagnet-type equation: equivalence and related geometric curve flows.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Zakharov-Ito equation and Generalized Heisenberg ferromagnet-type equation: equivalence and related geometric curve flows

Reference 18

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This paper cites Python port of the livermore unstructured lagrangian explicit shock hydrodynamics (lulesh),.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Python port of the livermore unstructured lagrangian explicit shock hydrodynamics (lulesh),

Reference 19

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This paper cites A System Level Compiler for Massively-Parallel, Spatial, Dataflow Architectures.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach A System Level Compiler for Massively-Parallel, Spatial, Dataflow Architectures

Reference 20

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Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Towards extremely fast context switching in a block-multithreaded processor,

Reference 21

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Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach The effect of context switches on cache performance,

Reference 22

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Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Unresolved cited work

Reference 23

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This paper cites Bader,Space-Filling Curves - An Introduction with Applications in Scientific Computing, ser.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Bader,Space-Filling Curves - An Introduction with Applications in Scientific Computing, ser

Reference 24

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Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Empirical analysis of space-filling curves for scientific computing applications,

Reference 25

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Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Parallel domain decomposition and load balancing using space-filling curves,

Reference 26

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Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Claude Sonnet 4.6,

Reference 27

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Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach GPT-5.4,

Reference 28

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This paper cites Available: https://doi.org/10.1109/HIPC.1997.634498.

Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach Available: https://doi.org/10.1109/HIPC.1997.634498

Reference 235

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