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Paper Citation Record · LEDGER

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks

As of 9 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 6 inbound Pith citation observations for arXiv:2507.10789.

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

pith.paper-citation-record.v1
2507.10789 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:31:28.806631Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:57:22.112757Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:05:50.958147Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact2
  • verified fuzzy13
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67c12c40-bda7-44ce-a59a-883b1a6154e2 · outbound

This paper cites Profiling general purpose gpu applications,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Profiling general purpose gpu applications,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T17:31:33.277248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:25.931712Z digest=sha256:0a2eaabaf0b346d45d2629ae471bcdb0e2e6bfaa7f0f7e5d64aff6a12caf7b39

Observation 636fafbd-fd30-4670-99b9-bb859b2c5c59 · outbound

This paper cites Metrics and Design of an Instruction Roofline Model for AMD GPUs.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Metrics and Design of an Instruction Roofline Model for AMD GPUs

Reference 2

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verified exact
local_arxiv, observed 2026-08-06T17:31:29.730486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:26.015343Z digest=sha256:9cf5ba5760ad6fbc582eea5715bbc1630258bca55a88b274cfdb9bed3b48e3a7

Observation 984eded7-f0bd-4152-b329-ecf604d5087d · outbound

This paper cites An analytical model for a gpu architecture with memory-level and thread-level parallelism awareness,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks An analytical model for a gpu architecture with memory-level and thread-level parallelism awareness,

Reference 3

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unresolved
no resolver link, observed 2026-08-06T17:31:26.143528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:26.143528Z digest=sha256:b45edeab55b12175f14cb162f038b2b6151b2393053c45676a47addcb66d6a01

Observation 201d46bf-6c4e-4c1e-bd7b-b30e1b962b05 · outbound

This paper cites Characterizing and improving the use of demand-fetched caches in gpus,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Characterizing and improving the use of demand-fetched caches in gpus,

Reference 4

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metadata mismatch
raw_fallback, observed 2026-08-06T17:31:29.535656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:26.281877Z digest=sha256:9ca083239d10bc08d0ff8e0b36385f152dbbff3c3f2dc7bd3f4b19c55a67a47f

Observation 00e533cd-0025-44e2-9124-594e9b9fca21 · outbound

This paper cites Demystifying gpu microarchitecture through microbenchmarking,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Demystifying gpu microarchitecture through microbenchmarking,

Reference 5

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raw_fallback, observed 2026-08-06T17:31:33.005857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:26.393287Z digest=sha256:a3a4410dae40306f1585bfd37f37329db47375670c63c87824d0b3f330ba4322

Observation 5ba69407-4598-451f-9094-e167f2cc6f44 · outbound

This paper cites Architectural analysis and performance characterization of nvidia gpus using microbenchmarking,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Architectural analysis and performance characterization of nvidia gpus using microbenchmarking,

Reference 6

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raw_fallback, observed 2026-08-06T17:31:32.775929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:26.463259Z digest=sha256:771e80898e0542fed39e41eb619f6748b1b8ea19b05af483faf5c872a15cd6c1

Observation 3c8887ad-961f-4d04-bde3-65fe63aeaf23 · outbound

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

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking

Reference 7

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no resolver link, observed 2026-08-06T17:31:26.627631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:26.627631Z digest=sha256:f7a6c09ef5dd5d75d6b66b4df8e15e35b70d68059573bdf46d135dfa6a429688

Observation 960e8bc9-474a-4be0-afd7-896d3e088478 · outbound

This paper cites Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis

Reference 9

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no resolver link, observed 2026-08-06T17:31:26.949092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:26.949092Z digest=sha256:157c37dc33a011ad9073dbbfbe291adc68878099fd5442638f7f065de2f87450

Observation a62b9f9d-2350-48bb-8034-fcfd30e9f288 · outbound

This paper cites an unresolved cited work.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Unresolved cited work

Reference 10

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raw_fallback, observed 2026-08-06T17:31:32.406944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:27.044786Z digest=sha256:e79b1782f1f3944bf21f273c1f5f7ce77791522ebb75df1dfddbee5da7eb7e60

Observation 4ccbfc41-36e3-4b97-b78e-e9e06cec3c74 · outbound

This paper cites an unresolved cited work.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Unresolved cited work

Reference 11

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raw_fallback, observed 2026-08-06T17:31:32.203184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:27.133971Z digest=sha256:8e6262c74f722ccd541be3907e0ae74a3a0abf6c3b48e46d6e6e1ff1bb217125

Observation 2431d17e-58fa-4481-a237-9a5450a51f40 · outbound

This paper cites Understanding data movement in tightly coupled heterogeneous systems: A case study with the grace hopper superchip,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Understanding data movement in tightly coupled heterogeneous systems: A case study with the grace hopper superchip,

Reference 12

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no resolver link, observed 2026-08-06T17:31:27.229086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:27.229086Z digest=sha256:0f8ba2e094d536e547d8ae84186ecf63c1854e6e5d3eb05b3a9c4e283e521a7d

Observation 5dc0d7e9-e06b-4b96-9d6e-fd174ef5e991 · outbound

This paper cites [Online].

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks [Online]

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T17:31:32.021593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:27.419050Z digest=sha256:bb646620d8266f7d5de51fa60591c3878c389ecd479ea783c00febcd71a55287

Observation f2af79b3-69b8-494b-b6a0-020bd2f432c3 · outbound

This paper cites Understanding the gpu microarchitecture to achieve bare-metal performance tuning,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Understanding the gpu microarchitecture to achieve bare-metal performance tuning,

Reference 14

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unresolved
no resolver link, observed 2026-08-06T17:31:27.485337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:27.485337Z digest=sha256:e0b2b8b162d5a172c40c41f4bb6c5f123279231c0adecca1188ad86e84483162

Observation 40a568a5-ac13-42c1-bebf-2418c7c5d2d4 · outbound

This paper cites Dissecting gpu memory hierarchy through mi- crobenchmarking,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Dissecting gpu memory hierarchy through mi- crobenchmarking,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T17:31:31.851455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:27.593383Z digest=sha256:a1a7c2e7f195c5f6112685a5cf1a498ff286b2926f4c14ae5e34bb969f83fb32

Observation 132bf63b-8139-4465-8452-ac61c423794b · outbound

This paper cites Numerical behavior of NVIDIA tensor cores,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Numerical behavior of NVIDIA tensor cores,

Reference 16

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no resolver link, observed 2026-08-06T17:31:27.667099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:27.667099Z digest=sha256:bd55d59b886e717cd48eeb6b11cfd00cd14dc01f6c62963f17074a59ad78f506

Observation 84264d09-3d3f-4713-9eab-3edec88cab66 · outbound

This paper cites Fast implementation of dgemm on fermi gpu,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Fast implementation of dgemm on fermi gpu,

Reference 17

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no resolver link, observed 2026-08-06T17:31:27.714545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:27.714545Z digest=sha256:e6eb6ba896d7337494d7e2eaf112a22b338ba463d8915548605231019b173b01

Observation c951a3e7-936b-4ea9-ba82-19ddb1e21ed6 · outbound

This paper cites Nvidia tensor core programmability, performance & precision,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Nvidia tensor core programmability, performance & precision,

Reference 18

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no resolver link, observed 2026-08-06T17:31:27.790959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:27.790959Z digest=sha256:181a8dad91bb6ba8b9eed9fea6b263ae5febe42fa553063688f8fabfa61812f3

Observation 23484e40-b4cc-48ba-a6d5-001cbe9454ed · outbound

This paper cites Benchmarking the nvidia v100 gpu and tensor cores,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Benchmarking the nvidia v100 gpu and tensor cores,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-06T17:31:31.626019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:27.906695Z digest=sha256:dd7294ee49028cb35d9f14329abdccdb95a655e9dd3f0fe97fb2f8adacff3961

Observation 3c683e19-9634-4d07-95fe-d6b1dcd0ef28 · outbound

This paper cites Modeling deep learning accelerator enabled gpus,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Modeling deep learning accelerator enabled gpus,

Reference 20

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raw_fallback, observed 2026-08-06T17:31:31.433142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:27.986932Z digest=sha256:355edf180ce1d16758cc2e98598d149ca8e733af25bac71d7069a95bfbbb0e6a

Observation e665ae65-5222-41aa-9e8f-14462d7e1a29 · outbound

This paper cites Demystifying tensor cores to optimize half-precision matrix multiply,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Demystifying tensor cores to optimize half-precision matrix multiply,

Reference 21

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raw_fallback, observed 2026-08-06T17:31:31.217629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:28.074185Z digest=sha256:12659be44ff0f46f66012553532f56807418ece5f73eb5fa11d5c12dd361c9d0

Observation 3378fd4d-6319-4377-9ff0-19c40d0a0a57 · outbound

This paper cites Dissecting tensor cores via microbenchmarks: Latency, throughput and numeric behaviors,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Dissecting tensor cores via microbenchmarks: Latency, throughput and numeric behaviors,

Reference 22

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raw_fallback, observed 2026-08-06T17:31:30.954258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:28.140350Z digest=sha256:a0d99a3a1c1d10fbadf8698bf13a44a380235e2d59ce2b625418ce3da252234a

Observation d15e856c-4c59-4979-965c-2d42f9da5041 · outbound

This paper cites Accel-sim: An extensible simulation framework for validated gpu modeling,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Accel-sim: An extensible simulation framework for validated gpu modeling,

Reference 23

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no resolver link, observed 2026-08-06T17:31:28.221773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:28.221773Z digest=sha256:6c0c95747504b4d1e9a6ff083e10c93092b04f8d6d00214b29960ce5e55d0f59

Observation ec082a6b-5004-45c6-a31a-6167ab8f25b8 · outbound

This paper cites Gcom: a detailed gpu core model for accurate analytical modeling of modern gpus,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Gcom: a detailed gpu core model for accurate analytical modeling of modern gpus,

Reference 24

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no resolver link, observed 2026-08-06T17:31:28.312704Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:28.312704Z digest=sha256:38c38e867d83059c481954e1003b2d1a14081885df4674cf5c65750155016ab4

Observation 69fe5f99-3eb7-4e2b-a8ab-ab518409f0d3 · outbound

This paper cites LLMPerf: GPU Performance Modeling meets Large Language Models.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks LLMPerf: GPU Performance Modeling meets Large Language Models

Reference 25

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verified exact
local_arxiv, observed 2026-08-06T17:31:29.005108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:28.397734Z digest=sha256:0d247bec2833375658d861c6d4c35dd782bdb5c55833b61a4c62e446a68c594e

Observation 96371513-3f4d-4cfd-8a24-cb661231a981 · outbound

This paper cites [Online].

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks [Online]

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T17:31:30.621015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:28.485635Z digest=sha256:f595b6bd3a9ac2b07d4088234d1189a7831822fba2281463c8c03b4aa9a6e22f

Observation f39af38b-56ce-4a1d-b33a-8629f890000b · outbound

This paper cites A performance model for gpus with caches,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks A performance model for gpus with caches,

Reference 27

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raw_fallback, observed 2026-08-06T17:31:30.324306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:28.571883Z digest=sha256:aebe4d4b18e52d78840db1b6d50ee8520647dafd78a3efe3f043f944c1a3aa72

Observation 30324182-4879-4a73-96b2-81ce2bd0978f · outbound

This paper cites [Online].

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks [Online]

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-06T17:31:29.925208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:28.640124Z digest=sha256:65753fc58abf6f0b2968217e67857430f05310fccd38c8aaf9dee84df18932ab

Observation c14e5696-f1cf-445e-b93e-e9dbc45f6152 · outbound

This paper cites [Online].

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks [Online]

Reference 29

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malformed identifier
raw_fallback, observed 2026-08-06T17:31:29.855522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:28.718113Z digest=sha256:840ebd30298257bf91c4c8c09c4bb60bbe8efe538ab3fa3fad66ad8d42d388d3

Observation 2c22c44d-057f-43bb-8c48-183aa1f861b6 · outbound

This paper cites GPT-NeoX-20B: An Open-Source Autoregressive Language Model.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks GPT-NeoX-20B: An Open-Source Autoregressive Language Model

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:28.806631Z digest=sha256:d8faff2338126c4ea411274ea82df605c598cb5ee2597d680b3a7ed74a18751f

Observation f8cf9ea6-afc5-486a-8bd7-492c71d4ca3b · outbound

This paper cites Available: http://rave.ohiolink.edu/etdc/view?acc num= osu1344623484.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Available: http://rave.ohiolink.edu/etdc/view?acc num= osu1344623484

Reference 2012

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raw_fallback, observed 2026-08-06T17:31:32.609407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:26.541219Z digest=sha256:779a5079e15a4aaccaaa07d0f86e4cd6bbdda396b23b7d09d46d50c68dbf43d1

Observation 22e3f90b-8e0d-4004-9cad-73c0ce5543ac · outbound

This paper cites Dissecting the NVidia Turing T4 GPU via Microbenchmarking.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Dissecting the NVidia Turing T4 GPU via Microbenchmarking

Reference 2019

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unresolved
no resolver link, observed 2026-08-06T17:31:26.853075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:26.853075Z digest=sha256:54bea2cc94dbe4664e8fe475b6f79ed1a5546301f801b75965c255a73fcb6869

Observation a0ad6e49-3387-4b55-9497-ee5699b9b76e · outbound

This paper cites Understanding Data Movement in Tightly Coupled Heterogeneous Systems: A Case Study with the Grace Hopper Superchip.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Understanding Data Movement in Tightly Coupled Heterogeneous Systems: A Case Study with the Grace Hopper Superchip

Reference 2024

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unresolved
no resolver link, observed 2026-08-06T17:31:27.353692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:27.353692Z digest=sha256:51999c3129c5137e4fb56a035dcbcc4edf21446c14b800f5ddb8813090141495

Pith citing papers

Observation d7fe4ff6-b0bc-4f74-8631-d1faa24ee416 · inbound

Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs cites this paper.

Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks

Reference 76

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no resolver link, observed 2026-08-04T09:57:22.112757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:57:22.112757Z digest=sha256:6fdd97be01423b86ef6357cc18940ced6c45fbdb7cd1951739455efcbf8e10ea

Observation da96c86b-22b2-4ff8-9e88-60748487abce · inbound

Accurate Models of NVIDIA Tensor Cores cites this paper.

Accurate Models of NVIDIA Tensor Cores Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks

Reference 31

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verified exact
arxiv_id, observed 2026-05-17T00:53:46.105970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T00:53:35.862959Z digest=sha256:8c922b71f9e7d64bba10f48351a9617631affaf52d0f1a08afc974b36dfd8401

Observation bafae1aa-1a2f-471d-9e7e-2927fa5d8671 · inbound

Accurate Models of NVIDIA Tensor Cores cites this paper.

Accurate Models of NVIDIA Tensor Cores Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks

Reference 30

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unresolved
no resolver link, observed 2026-08-03T18:05:59.455441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:05:59.455441Z digest=sha256:0db97a516dc03a5d8f328929c5294e800b521909ac086878e46cfc4d27b9d2f0

Observation 3bc3f4bd-ec76-4c03-9445-6c45af6ef8b2 · inbound

Sim-FA: A GPGPU Simulator Framework for Fine-Grained Asynchronous Pipeline Analysis cites this paper.

Sim-FA: A GPGPU Simulator Framework for Fine-Grained Asynchronous Pipeline Analysis Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks

Reference 3

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arxiv_id, observed 2026-05-11T16:06:27.726065Z

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Sim-FA: A GPGPU Simulator Framework for Fine-Grained Asynchronous Pipeline Analysis cites this paper.

Sim-FA: A GPGPU Simulator Framework for Fine-Grained Asynchronous Pipeline Analysis Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks

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Self-Verifying Measurement Records: Hash-Linked Evidence Graphs for Hardware Benchmarking cites this paper.

Self-Verifying Measurement Records: Hash-Linked Evidence Graphs for Hardware Benchmarking Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks

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arxiv_id, observed 2026-07-01T17:05:50.959483Z

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