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Paper Citation Record · LEDGER

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures

As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:1908.06098.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.06098 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:01:04.471100Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

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External citation measurements

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Outbound references

Observation 0a4acbfe-6a40-4d37-b983-07e42daa5594 · outbound

This paper cites 3.4 Implementation Taking into account ACRANABE2 dwarf and its kernels benchmarks, we propose model based on a set of counters provided by Nvidia CUDA profiler (see Table 7).

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures 3.4 Implementation Taking into account ACRANABE2 dwarf and its kernels benchmarks, we propose model based on a set of counters provided by Nvidia CUDA profiler (see Table 7)

Reference 1

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Source-reported events for the cited work

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Observation fa63db31-5c56-43b4-b658-77510eb308a8 · outbound

This paper cites The simulator allows for estimating computational performance and energy efficiency of dwarfs on current and future hardware architectures.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures The simulator allows for estimating computational performance and energy efficiency of dwarfs on current and future hardware architectures

Reference 2

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Observation 86d1e5df-1761-4fa5-b6ba-d9e16df93dfe · outbound

This paper cites an unresolved cited work.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures Unresolved cited work

Reference 5

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Observation f675396b-6f9a-4f31-b429-c9e09404abb3 · outbound

This paper cites Table 11 presents the proposed GPU model.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures Table 11 presents the proposed GPU model

Reference 9

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Observation 4e2bf402-2810-4bf4-a0bb-6ea3416187ae · outbound

This paper cites The Legendre transform has computational complexity of O(N2) which increases with horizontal resolution.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures The Legendre transform has computational complexity of O(N2) which increases with horizontal resolution

Reference 13

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Observation 7a287a24-809d-4d3e-bd87-df82ee95555d · outbound

This paper cites 100x100x80 (Tables 15 - 17).

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures 100x100x80 (Tables 15 - 17)

Reference 14

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Observation 85cf5165-8136-4314-9a64-6ef82f36b7d1 · outbound

This paper cites We may then use multinode model proposed in Section 5.6.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures We may then use multinode model proposed in Section 5.6

Reference 17

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Observation 6c917e4c-d958-4080-9c60-4fdcbe9e8959 · outbound

This paper cites an unresolved cited work.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures Unresolved cited work

Reference 18

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Observation 085d8045-4afa-472a-b6ef-4ea1993f2cd7 · outbound

This paper cites an unresolved cited work.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures Unresolved cited work

Reference 19

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Observation b29b0188-dfcf-4bb3-899c-4a4402d12b64 · outbound

This paper cites an unresolved cited work.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures Unresolved cited work

Reference 20

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Observation 18bd7704-b92c-462d-befd-5266b4b1f7c6 · outbound

This paper cites BiFFT is run on many CPU nodes, while ACRANEB2 uses GPU accelerators.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures BiFFT is run on many CPU nodes, while ACRANEB2 uses GPU accelerators

Reference 21

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Observation 39589748-f21a-4532-8958-f1e9f7f68d9b · outbound

This paper cites Applying the roofline model.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures Applying the roofline model

Reference 22

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Observation a1bc297b-f415-47f5-b326-9b5006a5632f · outbound

This paper cites To correlate the processing unit with a dwarf, different coefficients are to be found as described in Deliverable D3.2.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures To correlate the processing unit with a dwarf, different coefficients are to be found as described in Deliverable D3.2

Reference 23

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Observation 43efc923-d0f7-4195-a416-89aabe57e3b3 · outbound

This paper cites The computational domain is divided between nodes, so that amount of work W and moved data Q lowers when adding more nodes – it is divided between MPI processes (i.e.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures The computational domain is divided between nodes, so that amount of work W and moved data Q lowers when adding more nodes – it is divided between MPI processes (i.e

Reference 30

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Observation 9b0ab873-c593-42ca-9cf4-3ce870304227 · outbound

This paper cites Modelled energy for SH dwarf - The maximum difference is 7.7%; - The minimum difference is 0.6%; - The mean difference is 7.7%; - The standard deviation is 3.24%.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures Modelled energy for SH dwarf - The maximum difference is 7.7%; - The minimum difference is 0.6%; - The mean difference is 7.7%; - The standard deviation is 3.24%

Reference 35

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Observation b0e9dc30-1041-49fc-943f-a888aa5c1265 · outbound

This paper cites Here we provide cache -aware roofline graphs for Skylake for comparison to older microarchitectures.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures Here we provide cache -aware roofline graphs for Skylake for comparison to older microarchitectures

Reference 37

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Observation 1caef0ed-1135-4269-ab62-fc6360302c37 · outbound

This paper cites Time-to-solution decreases with number of nodes used, but energy-to-solution remains the same.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures Time-to-solution decreases with number of nodes used, but energy-to-solution remains the same

Reference 274

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Observation d8fe09ab-2175-4858-84fe-beea73d42bd6 · outbound

This paper cites Exploiting hardware performance counters with flow and context sensitive profiling.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures Exploiting hardware performance counters with flow and context sensitive profiling

Reference 970

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f8e99fc2-a04f-4a7a-b98b-02917e0f8edf · outbound

This paper cites The performance of a simple von Neumann architecture that contains two levels of memory hierarchy can be predicted with the Roofline mod el.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures The performance of a simple von Neumann architecture that contains two levels of memory hierarchy can be predicted with the Roofline mod el

Reference 2009

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This paper cites -O -xHost.

Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures -O -xHost

Reference 2014

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