Paper Citation Record · LEDGER

Hardware Trends Impacting Floating-Point Computations In Scientific Applications

As of 13 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 5 inbound Pith citation observations for arXiv:2411.12090.

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

pith.paper-citation-record.v1
2411.12090 v2

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:59:21.978935Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:44:33.214998Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

70 of 70 outbound references displayed

verified exact1
verified fuzzy54
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 5a7893ca-af1a-463b-ae96-5a5cd9955d21 · outbound

This paper cites Deep learning,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Deep learning,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T17:59:21.638875Z

Source-reported events for the cited work

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Observation 74f54ff7-f320-4709-8ef5-f0907b6dd1d7 · outbound

This paper cites A Study of BFLOAT16 for Deep Learning Training.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications A Study of BFLOAT16 for Deep Learning Training

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T17:59:21.644429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1efb3fe0-132f-4e9e-ba6f-45f58a7d88bf · outbound

This paper cites FP8 Formats for Deep Learning.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications FP8 Formats for Deep Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T17:59:21.649733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 930cae85-c02f-4bf0-ae9e-2528c5484018 · outbound

This paper cites Introducing the graph 500,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Introducing the graph 500,

Reference 4

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Observation 5f74a59d-7126-4e18-8970-58d416359d84 · outbound

This paper cites The linpack benchmark: Past, present, and future,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications The linpack benchmark: Past, present, and future,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:23.031118Z

Source-reported events for the cited work

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Observation d681bad5-ad4d-43e4-9582-043cbb812434 · outbound

This paper cites Dongarra and P.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Dongarra and P

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:23.016526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7361ad1d-bec3-4054-a8de-168c485f4e57 · outbound

This paper cites Top 500. the list.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Top 500. the list

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:23.001823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 71e5e9e0-0009-49ef-822d-37146bfc41f0 · outbound

This paper cites The green500 list: Encouraging sustainable supercomputing,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications The green500 list: Encouraging sustainable supercomputing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.987110Z

Source-reported events for the cited work

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Observation aa920694-8380-4081-8da8-cab998893e70 · outbound

This paper cites A new benchmark for ranking high performance computing systems,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications A new benchmark for ranking high performance computing systems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.972159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 09c53a52-a930-4380-934f-8b8a3ecbb46f · outbound

This paper cites Hpl- ai mixed-precision benchmark: The next frontier of supercomputing,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Hpl- ai mixed-precision benchmark: The next frontier of supercomputing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.956479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bca08c27-14c7-4d65-bbc9-e1ecdc3c942a · outbound

This paper cites The state of the transistor in 3 charts.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications The state of the transistor in 3 charts

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.942444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 49ea7742-22f4-4cb2-b797-d4f62433171c · outbound

This paper cites The IBM 701 Speedcoding system,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications The IBM 701 Speedcoding system,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.928144Z

Source-reported events for the cited work

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Observation e12aef20-d182-4430-9d6f-f5b2789a4cfe · outbound

This paper cites The intel 8087 numeric data processor,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications The intel 8087 numeric data processor,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.913878Z

Source-reported events for the cited work

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Observation 475e083a-b3ec-4242-9454-3caf541b6086 · outbound

This paper cites The MC68881 floating-point copro- cessor,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications The MC68881 floating-point copro- cessor,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.899620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3c2fb89e-0baa-47b8-b0a3-e7d93e4854de · outbound

This paper cites Developing the WTL3170/3171 Sparc floating-point copro- cessors,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Developing the WTL3170/3171 Sparc floating-point copro- cessors,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.884280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0aa1ccc1-416b-4438-b135-fddea9a74107 · outbound

This paper cites Heinrich, MIPS R4000 user’s manual.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Heinrich, MIPS R4000 user’s manual

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.870040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 35c8db38-7f16-4c65-81cf-378edea172c1 · outbound

This paper cites an unresolved cited work.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:59:22.854753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2bb8de3b-ca48-4182-93dd-63e4c80c6aaf · outbound

This paper cites The 68040 processor. i. design and implementation,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications The 68040 processor. i. design and implementation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.840094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 21395af2-8f47-4485-bc0f-32092a40d114 · outbound

This paper cites Design considerations for the powerpc 601 microprocessor,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Design considerations for the powerpc 601 microprocessor,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.825532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cce11fdd-d2e3-469f-8cb4-8ec772f9923c · outbound

This paper cites Evolution of the graphics processing unit (gpu),.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Evolution of the graphics processing unit (gpu),

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.809712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 74329823-5371-4c89-8b7d-b78b0e945495 · outbound

This paper cites Brook for gpus: stream computing on graphics hardware,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Brook for gpus: stream computing on graphics hardware,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.794975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 90939b7e-d25a-4537-8ab8-af2b6a8eeaa4 · outbound

This paper cites Scalable parallel programming with cuda.,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Scalable parallel programming with cuda.,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.778685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 42027852-88f9-4711-90aa-ecd12e70359c · outbound

This paper cites Cuda: Scalable parallel programming for high-performance scientific computing,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Cuda: Scalable parallel programming for high-performance scientific computing,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.762948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b6913391-7fb9-4843-8ff3-112355ee89db · outbound

This paper cites Accelerating molecular dynamics simulations using graphics processing units with cuda,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Accelerating molecular dynamics simulations using graphics processing units with cuda,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.748554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 14222796-1d36-42aa-93af-490ef4abdc93 · outbound

This paper cites Gpu computing,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Gpu computing,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.734047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9f296ef9-1f27-4fe8-99f9-4973d5fe538f · outbound

This paper cites Large-scale deep unsupervised learning using graphics processors,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Large-scale deep unsupervised learning using graphics processors,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.719536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 92923fd8-c610-45bb-b2c5-50036904d9a9 · outbound

This paper cites Imagenet classifica- tion with deep convolutional neural networks,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Imagenet classifica- tion with deep convolutional neural networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.704134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d2181db0-bbb1-46af-9a73-492e99378a3d · outbound

This paper cites OCP 8-bit Floating Point Specification (OFP8),.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications OCP 8-bit Floating Point Specification (OFP8),

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.689470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e94ecf9b-a75d-4f99-8961-da59893d5af7 · outbound

This paper cites Microscaling Data Formats for Deep Learning.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Microscaling Data Formats for Deep Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T17:59:21.777415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 749ae38f-294a-47e4-8185-56fe531e50b0 · outbound

This paper cites Nvidia v100 gpu architecture.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Nvidia v100 gpu architecture

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.675225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation de1c5905-4028-4147-bcae-e10636340f53 · outbound

This paper cites Accelerating scientific computations with mixed precision algorithms,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Accelerating scientific computations with mixed precision algorithms,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.660290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 11adb81f-724a-48c0-b198-7854f00b4923 · outbound

This paper cites A survey of numerical linear algebra methods utilizing mixed-precision arithmetic,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications A survey of numerical linear algebra methods utilizing mixed-precision arithmetic,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.644980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 85795084-3607-47a6-9850-313c3ac651e5 · outbound

This paper cites The design of fast and energy-efficient linear solvers: On the potential of half-precision arithmetic and iterative refinement techniques,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications The design of fast and energy-efficient linear solvers: On the potential of half-precision arithmetic and iterative refinement techniques,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.630190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 16f0d0f2-5748-4171-855f-c2e82912c6f7 · outbound

This paper cites Deep learning with limited numerical precision,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Deep learning with limited numerical precision,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.614727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e71d673d-cd58-49bd-9ae2-556001086721 · outbound

This paper cites Solving lattice qcd systems of equations using mixed precision solvers on gpus,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Solving lattice qcd systems of equations using mixed precision solvers on gpus,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.600049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e9289730-24f0-4271-945a-4321ba8da054 · outbound

This paper cites Stochastic rounding: implementation, error analysis and applications,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Stochastic rounding: implementation, error analysis and applications,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.585721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3facbc7a-05c5-4937-8a05-164ec6799850 · outbound

This paper cites Recovering single precision accuracy from tensor cores while surpassing the FP32 theoretical peak performance,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Recovering single precision accuracy from tensor cores while surpassing the FP32 theoretical peak performance,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.571164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 51bf6d5d-72ca-47d0-abea-f9d605d4fa14 · outbound

This paper cites Performance Enhancement of the Ozaki Scheme on Integer Matrix Multiplication Unit.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Performance Enhancement of the Ozaki Scheme on Integer Matrix Multiplication Unit

Reference 38

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Source-reported events for the cited work

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Observation a90968a5-d8d2-497c-971b-d5a6ca8ec6e0 · outbound

This paper cites Leveraging the bfloat16 Artificial Intelligence Datatype For Higher-Precision Computations.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Leveraging the bfloat16 Artificial Intelligence Datatype For Higher-Precision Computations

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T17:59:21.825798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fc93b18-4bf7-4399-85df-5439c2de11a8 · outbound

This paper cites Simulation Intelligence: Towards a New Generation of Scientific Methods.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Simulation Intelligence: Towards a New Generation of Scientific Methods

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T17:59:21.831262Z

Source-reported events for the cited work

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Observation 6412a045-0a49-400a-b830-8d9caaf09522 · outbound

This paper cites Functionality and performance of nvlink with ibm power9 processors,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Functionality and performance of nvlink with ibm power9 processors,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.556547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8a77aff8-a166-4456-a4bd-e9e0c45ec651 · outbound

This paper cites Nvidia gh200 grace hopper superchip architec- ture.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Nvidia gh200 grace hopper superchip architec- ture

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.542264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cd947644-1de4-4f8f-9a00-cfac5eec255f · outbound

This paper cites Porting HPC Applications to AMD Instinct$^\text{TM}$ MI300A Using Unified Memory and OpenMP.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Porting HPC Applications to AMD Instinct$^\text{TM}$ MI300A Using Unified Memory and OpenMP

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-12T17:59:22.117945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 173874be-2afe-4812-8191-e758165fdb60 · outbound

This paper cites AMD CDNA Architecture.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications AMD CDNA Architecture

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.526005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4db831a6-dd44-4977-9489-06677d51a9b9 · outbound

This paper cites Apple unveils m3, m3 pro, and m3 max, the most advanced chips for a personal computer.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Apple unveils m3, m3 pro, and m3 max, the most advanced chips for a personal computer

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.510882Z

Source-reported events for the cited work

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Observation df55a134-4d05-4531-b2fd-3171d2b064d9 · outbound

This paper cites First impressions of the nvidia grace cpu superchip and nvidia grace hopper superchip for scientific workloads,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications First impressions of the nvidia grace cpu superchip and nvidia grace hopper superchip for scientific workloads,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.495588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ef743e3b-c81b-4a51-bce4-4fbc9e536f0d · outbound

This paper cites A survey of cpu-gpu heterogeneous computing techniques,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications A survey of cpu-gpu heterogeneous computing techniques,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.479217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 53f68bf3-30bb-40fe-9c57-34e4c17ba966 · outbound

This paper cites Programming model for a heterogeneous x86 platform,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Programming model for a heterogeneous x86 platform,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.463987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d6036f18-009f-4b2a-b7a8-40ea2d5e76ef · outbound

This paper cites Designing a unified program- ming model for heterogeneous machines,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Designing a unified program- ming model for heterogeneous machines,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.448534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3141ebba-d6e6-4f3d-979a-843c8ee0b94c · outbound

This paper cites Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T17:59:21.882928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 366d8167-0ed2-460c-b5f7-459d8e55ef69 · outbound

This paper cites Tensor cores.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Tensor cores

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.433073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2185a126-f677-43de-b21d-082788aae24b · outbound

This paper cites CUDA PTX ISA.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications CUDA PTX ISA

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.415645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f2610ff4-e400-4ac2-a796-b425f365ea21 · outbound

This paper cites Attention is all you need,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Attention is all you need,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T17:59:21.897496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 747f6476-3dae-4a2c-b3e7-550bd729b2d3 · outbound

This paper cites Mixed precision training,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Mixed precision training,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.391338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation beb00775-5cea-47da-8f9b-31240d0dfe5a · outbound

This paper cites Simulating low precision floating-point arithmetic,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Simulating low precision floating-point arithmetic,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.376566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b4219bff-3f86-4117-a2a2-43236ef3e66e · outbound

This paper cites Improving weather forecast skill through reduced-precision data assimilation,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Improving weather forecast skill through reduced-precision data assimilation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.361580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 57b109f9-3c24-4e4c-bb65-0c26a6e4df2f · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T17:59:21.916283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70cadc81-af6c-4dc4-ac12-3629e72e972f · outbound

This paper cites Tensorflow: a system for large-scale machine learning,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Tensorflow: a system for large-scale machine learning,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.347124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 838c4425-32bb-497d-bab0-1a94eae00f26 · outbound

This paper cites JAX: composable transformations of Python+NumPy pro- grams.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications JAX: composable transformations of Python+NumPy pro- grams

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.331952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 93b1e010-d71b-48a7-93a0-975523aaba15 · outbound

This paper cites In-datacenter performance analysis of a tensor processing unit,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications In-datacenter performance analysis of a tensor processing unit,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.316530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 10562b5c-8be8-4afd-9b94-f553444c461b · outbound

This paper cites GPT-4 Technical Report.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications GPT-4 Technical Report

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T17:59:21.935772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebcfac44-7973-411b-bf64-59c6825dcddf · outbound

This paper cites Dynamic voltage and frequency scaling: the laws of diminishing returns,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Dynamic voltage and frequency scaling: the laws of diminishing returns,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.301308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1bf989c8-1afc-47f4-8901-22e53328de13 · outbound

This paper cites Intel® pentium® m processor power estimation, budgeting, optimization, and validation.,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Intel® pentium® m processor power estimation, budgeting, optimization, and validation.,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.284464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dcd75230-72ee-4d09-8c39-f7e0fc5f84a6 · outbound

This paper cites Evaluating and modeling power consumption of multi-core processors,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Evaluating and modeling power consumption of multi-core processors,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.269081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 672e8297-cf71-4100-acdb-8450641a8fb4 · outbound

This paper cites Beating floating point at its own game: Posit arithmetic,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Beating floating point at its own game: Posit arithmetic,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.253437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 14da4715-fc60-48d0-be0e-b18107437d6c · outbound

This paper cites The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T17:59:21.960194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8bc1d70-9fa8-4b23-9c95-a3c5b6406433 · outbound

This paper cites Analog and digital, continuous and discrete,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Analog and digital, continuous and discrete,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.238413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b04b3833-baeb-42c1-a0e9-f6016eb4cb78 · outbound

This paper cites Hbm (high bandwidth memory) dram technology and architecture,.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications Hbm (high bandwidth memory) dram technology and architecture,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:59:22.222865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 93f92c37-b2dd-42b6-855c-f1ce94cbc086 · outbound

This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T17:59:21.974209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5684531e-6497-4d6e-8015-790b2c48985b · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Hardware Trends Impacting Floating-Point Computations In Scientific Applications FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T17:59:21.978935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5b4b8e7f-9cc0-42c1-8b87-b006db1ecde2 · inbound

Mixed-precision numerics in scientific applications: survey and perspectives cites this paper.

Mixed-precision numerics in scientific applications: survey and perspectives Hardware Trends Impacting Floating-Point Computations In Scientific Applications

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T00:44:33.214998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8719379b-b2e6-419f-b350-9104225d2470 · inbound

CHAMB-GA: A Containerized HPC Scalable Microservice-Based Framework for Genetic Algorithms cites this paper.

CHAMB-GA: A Containerized HPC Scalable Microservice-Based Framework for Genetic Algorithms Hardware Trends Impacting Floating-Point Computations In Scientific Applications

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-26T02:28:54.741663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2d998dd4-0c6b-41f0-a5b5-c0e6f09d0527 · inbound

CHAMB-GA: A Containerized HPC Scalable Microservice-Based Framework for Genetic Algorithms cites this paper.

CHAMB-GA: A Containerized HPC Scalable Microservice-Based Framework for Genetic Algorithms Hardware Trends Impacting Floating-Point Computations In Scientific Applications

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T10:02:08.464670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cab64b08-a3f0-44c3-ae3a-be47052e95bc · inbound

Improved Scaling for Fast Mode of Ozaki Scheme II cites this paper.

Improved Scaling for Fast Mode of Ozaki Scheme II Hardware Trends Impacting Floating-Point Computations In Scientific Applications

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-30T02:44:11.496652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bb89f51d-fa4a-4ada-b3f9-42d478b1cf9b · inbound

Ascend to Science: Exploration of AI Chips for Scientific Computing cites this paper.

Ascend to Science: Exploration of AI Chips for Scientific Computing Hardware Trends Impacting Floating-Point Computations In Scientific Applications

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T10:49:27.176107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.