Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:01:04.471100Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:01:04.471100Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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
20 of 20 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0a4acbfe-6a40-4d37-b983-07e42daa5594 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fa63db31-5c56-43b4-b658-77510eb308a8 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 86d1e5df-1761-4fa5-b6ba-d9e16df93dfe · outbound
Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures Unresolved cited work
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f675396b-6f9a-4f31-b429-c9e09404abb3 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4e2bf402-2810-4bf4-a0bb-6ea3416187ae · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7a287a24-809d-4d3e-bd87-df82ee95555d · outbound
Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures 100x100x80 (Tables 15 - 17)
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 85cf5165-8136-4314-9a64-6ef82f36b7d1 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6c917e4c-d958-4080-9c60-4fdcbe9e8959 · outbound
Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures Unresolved cited work
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 085d8045-4afa-472a-b6ef-4ea1993f2cd7 · outbound
Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures Unresolved cited work
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b29b0188-dfcf-4bb3-899c-4a4402d12b64 · outbound
Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures Unresolved cited work
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 18bd7704-b92c-462d-befd-5266b4b1f7c6 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 39589748-f21a-4532-8958-f1e9f7f68d9b · outbound
Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures Applying the roofline model
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a1bc297b-f415-47f5-b326-9b5006a5632f · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 43efc923-d0f7-4195-a416-89aabe57e3b3 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9b0ab873-c593-42ca-9cf4-3ce870304227 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b0e9dc30-1041-49fc-943f-a888aa5c1265 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1caef0ed-1135-4269-ab62-fc6360302c37 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d8fe09ab-2175-4858-84fe-beea73d42bd6 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f8e99fc2-a04f-4a7a-b98b-02917e0f8edf · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ea8b5ee9-e543-4424-b35e-336049d1fce6 · outbound
Reference 2014
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
No inbound Pith citation observations are available.