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Paper Citation Record · LEDGER

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores

As of 18 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 2 inbound Pith citation observations for arXiv:2501.09251.

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

pith.paper-citation-record.v1
2501.09251 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:11:52.744148Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:07:36.911886Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:26:28.901364Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact1
  • verified fuzzy50
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d27a6d20-ea09-4872-9b5e-a051875347f2 · outbound

This paper cites Garzón, and J.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Garzón, and J

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.461443Z digest=sha256:b71e6aa1d81cb666dc53d3e38ed902f6f58f7cc5055c972682e6380eb33351d1

Observation e1ffbd09-61f9-4a4b-a772-fce012ad73de · outbound

This paper cites Optimizing sparse matrix-multiple vectors multiplication for nuclear configuration interaction calculations.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Optimizing sparse matrix-multiple vectors multiplication for nuclear configuration interaction calculations

Reference 2

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raw_fallback, observed 2026-08-10T20:11:53.655083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.467220Z digest=sha256:18ed911f8b27d8ebee4048b523f57476c195a6b703329c5a0f9dff3569ec2754

Observation b396be54-10c7-4e13-9f85-5a89c3c68eea · outbound

This paper cites Bader, Aydın Buluç, Franz Franchetti, John R.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Bader, Aydın Buluç, Franz Franchetti, John R

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.472832Z digest=sha256:9c70651cdc8658657d999b8ea6425ceb81612ec18344c8a32572c7a332a69295

Observation 83633bae-04ee-415b-a312-1566550d02dc · outbound

This paper cites Dongarra, Axel Ruhe, Henk A.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Dongarra, Axel Ruhe, Henk A

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.625721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.478324Z digest=sha256:e5f1f69b44618712fdda7fe677a8da6a59cfe099e6dd40c24f701d9c80b3b902

Observation df9894d6-842c-4f54-b2e2-d17bdd455744 · outbound

This paper cites A high- performance parallel algorithm for nonnegative matrix factorization.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores A high- performance parallel algorithm for nonnegative matrix factorization

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.609263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.483943Z digest=sha256:a666584e4212fe147ca29b6cbfd4d91845184aa299199bd8e871c77ad2f69ab7

Observation 8bb6eda6-58ca-4bc4-a573-bf3092baa0f5 · outbound

This paper cites an unresolved cited work.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Unresolved cited work

Reference 6

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unresolved
raw_fallback, observed 2026-08-10T20:11:53.594314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.490117Z digest=sha256:d1329ac4fb0901a6294224dfa4e85cf9e6c02ab877f3de9edb56fea5f2eae43d

Observation 5dfc6bf2-da2c-4163-9f65-28f0a6db0e3e · outbound

This paper cites Explor- ing data layout for sparse tensor times dense matrix on gpus.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Explor- ing data layout for sparse tensor times dense matrix on gpus

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.578226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.496277Z digest=sha256:1417c602d96bdb92c77b152a68794782f4ca40be9725cf56190acf55a1ea0944

Observation 9e65c07b-35eb-42cd-9d94-8e27a5b8860a · outbound

This paper cites Google’s pagerank and beyond: The science of search engine rankings, 2006.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Google’s pagerank and beyond: The science of search engine rankings, 2006

Reference 8

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raw_fallback, observed 2026-08-10T20:11:53.563531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.501181Z digest=sha256:fe2de64dc03c53a3df1d24987b085a3cad60b1e2c7091f4f893305fb1021f14b

Observation 3500bf17-ce03-4b7f-aa04-97f241dff783 · outbound

This paper cites Multi- scale spectral decomposition of massive graphs.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Multi- scale spectral decomposition of massive graphs

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.549350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.506642Z digest=sha256:8473068a06a4198442e274df8f83b5024531e22ff1c1f871596b43e5b5360a9e

Observation de2dcf4a-6593-4afb-9566-654fbb945ba8 · outbound

This paper cites Graphblast: A high-performance linear algebra-based graph framework on the gpu.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Graphblast: A high-performance linear algebra-based graph framework on the gpu

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.534127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.511416Z digest=sha256:21afd26071c615092e2ae61debd41506897a02472eee444d1ad61d32a385200d

Observation fb43fb0a-68c5-40ff-96d9-e7a1f299661f · outbound

This paper cites Advances in knowledge discovery and data mining.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Advances in knowledge discovery and data mining

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.519981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.515944Z digest=sha256:314be6f8ca33ddbece3e881505ead537c13f8ccffa60d2986aaec42b4458bac0

Observation dcf07093-2eb2-4915-aac3-abc7bfd055fb · outbound

This paper cites Maxk-gnn: Extremely fast gpu kernel design for accelerating graph neural networks training.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Maxk-gnn: Extremely fast gpu kernel design for accelerating graph neural networks training

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.506671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.520575Z digest=sha256:ebcf1b952d8348b0cacb1b4e61690168e0194042f34bf7ad0100ce1f48c732ec

Observation 6e3f1e9e-e0a6-4a43-b5da-156346f4c3a3 · outbound

This paper cites Algorithm/hardware co-optimization for sparsity-aware spmm acceleration of gnns.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Algorithm/hardware co-optimization for sparsity-aware spmm acceleration of gnns

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.492281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.525136Z digest=sha256:6429c264452987a2f342376de456304beac9d5d344d53d4194900055f00f952b

Observation 10a7efa7-ace2-4924-b724-2780d8e2c16f · outbound

This paper cites Dgi: An easy and efficient framework for gnn model evaluation.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Dgi: An easy and efficient framework for gnn model evaluation

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.477921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.529848Z digest=sha256:c7fbd43621dcd1d02d38d923702f9927a9e1b6cb48d4d171232b35ed5b2e7029

Observation 614fc704-ea0a-49e2-a1cc-a22be0bd4354 · outbound

This paper cites isplib: A library for accelerating graph neural networks using auto- tuned sparse operations.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores isplib: A library for accelerating graph neural networks using auto- tuned sparse operations

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.463513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.534354Z digest=sha256:89daf578bba961f6f460ce86b0f12ab3d31c0cc1a41f32a16b756923e309e0e7

Observation 6e73f940-1457-4b08-a9b4-91ead99bea9e · outbound

This paper cites Language models are few-shot learners.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Language models are few-shot learners

Reference 16

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raw_fallback, observed 2026-08-10T20:11:53.449733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.539497Z digest=sha256:cb6df16b688c1c3acb32e65e4085bf6e5c844db62f931a17eb91d89af0f6ebb8

Observation 19133caf-4811-488d-9854-97751d477368 · outbound

This paper cites Sparsity in deep learning: Pruning and growth for efficient inference and training in neural networks.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Sparsity in deep learning: Pruning and growth for efficient inference and training in neural networks

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.436339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.545227Z digest=sha256:c2ffe49baf49e6438081c96d156b92a482eafd206e1480908fce78cb65fe6150

Observation a0875019-10e5-467b-9fd2-8eb991ee9d5b · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Generating Long Sequences with Sparse Transformers

Reference 18

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unresolved
no resolver link, observed 2026-08-10T20:11:52.550323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:11:52.550323Z digest=sha256:01650b61602c42785073af15dfc2467820322634d6ce27255df90e977f53ea3f

Observation cf8e3aa0-ad68-401a-9b15-9c0d0a4a3003 · outbound

This paper cites Heuristic adaptability to input dynamics for spmm on gpus.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Heuristic adaptability to input dynamics for spmm on gpus

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.422861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.555944Z digest=sha256:f59f8d53d77e6fc9701af1ffc32cf7d176956fa648679d7ec98f09cb97447627

Observation d50f655c-6c9c-4ee6-9177-d9e067ffbee9 · outbound

This paper cites Zaharia, Cliff Young, and Erich Elsen.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Zaharia, Cliff Young, and Erich Elsen

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.408894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.560339Z digest=sha256:12f03d1583c011961d49899a042b44660c420145cd57952ff616886dec5607c2

Observation f4a346ad-7503-4cf0-b89e-8a8840e49aa5 · outbound

This paper cites Sadayappan.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Sadayappan

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.393183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.564836Z digest=sha256:29d9ceca4557991d0f018531f65a3db0fbba3fb18042b81ab33789b70fdb5317

Observation 3c957665-f69d-47a4-95c4-2e801453b1c9 · outbound

This paper cites Ge- spmm: General-purpose sparse matrix-matrix multiplication on gpus for graph neural networks.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Ge- spmm: General-purpose sparse matrix-matrix multiplication on gpus for graph neural networks

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.378611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.569386Z digest=sha256:0954b2800a36847efe8e15ab7a029118e3930a4e6fe78ae05543d2cd4675ba52

Observation 458858f3-e041-4ff7-bf13-d5829787c6ec · outbound

This paper cites A novel data transformation and execution strategy for accelerating sparse ma- trix multiplication on gpus.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores A novel data transformation and execution strategy for accelerating sparse ma- trix multiplication on gpus

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.364091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.573945Z digest=sha256:588577a5123017241c724a4b24aca4260713ba332db4499fc392a061a815cfdb

Observation 465bb3c7-a660-4ee1-b0dd-f61838cd472f · outbound

This paper cites Dtc-spmm: Bridging the gap in accelerating general sparse matrix multiplication with tensor cores.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Dtc-spmm: Bridging the gap in accelerating general sparse matrix multiplication with tensor cores

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.349293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.578563Z digest=sha256:5e0a04f9b351059104b118062fed6449fd886cff832061be27eab49a7e481c0d

Observation cf7a9558-4108-454a-a135-adac1c3e7453 · outbound

This paper cites Efficient quantized sparse matrix operations on tensor cores.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Efficient quantized sparse matrix operations on tensor cores

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.333815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.583415Z digest=sha256:4c37d30652f502f91173dc9b9f019fe44fc2d4790ad17dd64bf04b89cf0665ef

Observation 12fff9f0-be23-40b2-a7d5-ef00669176e5 · outbound

This paper cites Ef- ficient tensor core-based gpu kernels for structured sparsity under reduced precision.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Ef- ficient tensor core-based gpu kernels for structured sparsity under reduced precision

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.318511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.588134Z digest=sha256:3694e23516875309b7d8b0eb80d2b5be6671cb8c1bf169f1d2c241b403365a66

Observation 75e65201-190c-4b5a-a6a4-f8007d685ebf · outbound

This paper cites Castro, Diego Andrade, and Basilio B.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Castro, Diego Andrade, and Basilio B

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.304215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.592755Z digest=sha256:be86bb20cddce9bafc9d415fd1d80fdbd7e90f786bc7105a05870b0c42b454a2

Observation 8bf872c6-2c31-4646-ba46-6b299719d8bb · outbound

This paper cites an unresolved cited work.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-08-10T20:11:53.290120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.598380Z digest=sha256:6fa73fa54a6f1639920548273dd106ad72ad4d6d1c05dd5f5b109c1609e4bbdf

Observation 9afcfce9-60a5-4c1f-8c37-b474b087e755 · outbound

This paper cites Accelerating matrix multiplication with block sparsity.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Accelerating matrix multiplication with block sparsity

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.276687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.603140Z digest=sha256:0a1d00acd8beaece609e6ad47aeead6dc280445f6853f21dc622fc4fa97c81a6

Observation 6d194361-96b5-4841-95ac-8b51022b9784 · outbound

This paper cites Dongarra.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Dongarra

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.261160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.608706Z digest=sha256:b0c4ba32fb64fc99b9e2ea9ab2e859675804678d69687381c693a932ac9189d3

Observation 064e987a-daf1-4a0d-ba94-aa2bbeccb8a3 · outbound

This paper cites Regularizing irregularity: bitmap- based and portable sparse matrix multiplication for graph data on gpus.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Regularizing irregularity: bitmap- based and portable sparse matrix multiplication for graph data on gpus

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.246216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.613254Z digest=sha256:71f86bb6db1873562c425731bfb178a8dbff961675ccb0f3927c7f610d047b31

Observation e2177e9f-f2ed-461f-89f3-abad979a7d92 · outbound

This paper cites Rabbit order: Just-in-time parallel reordering for fast graph analysis.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Rabbit order: Just-in-time parallel reordering for fast graph analysis

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.231679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.617744Z digest=sha256:2f9f3a0a5af36aec21836130aec9e1f4a0242318c7b348dd00469768270cfc07

Observation fda2b04e-6ae3-4808-8422-8afd6de52885 · outbound

This paper cites Sadayappan.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Sadayappan

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.216921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.622506Z digest=sha256:f240cf0d150596b658ba4fcbfcb5c6b52ddf2fa06daef428325be7cfed3d279c

Observation 5341a0bb-ff39-4028-9285-8e91a014cd63 · outbound

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

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Demystifying tensor cores to optimize half-precision matrix multiply

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.202040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.626855Z digest=sha256:dba9cea9af8c0e71d9a4eaa8f27e4b1a648a9da739509c59e6210753acfeda1a

Observation 218e04fa-edf2-4f78-a217-d1178b58eddd · outbound

This paper cites an unresolved cited work.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:11:53.186842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.631300Z digest=sha256:8df2dd719423fbc401864bcf6f2889dbf11f1222a4b9409af0d9b6a99209d38d

Observation a8a29f99-d6d7-46c2-8403-4062f4164bd7 · outbound

This paper cites Stephenson, and Stephen W.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Stephenson, and Stephen W

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.171344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.636818Z digest=sha256:0248b8444d70075ebb697022880a5d8c2892cb8fb602f10d7d53dd0f40c13f89

Observation d6d4e2a8-dc32-46dc-b07a-d16e0793f4e7 · outbound

This paper cites Davis and Yifan Hu.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Davis and Yifan Hu

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.156451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.641890Z digest=sha256:149df2b87e1209b658b9de9609c90892d2e5767be3c3687da03b8c9eabf900e7

Observation 6a34fe03-c6aa-438a-9cf2-ac7c166c26f7 · outbound

This paper cites In 2023 USENIX Annual Technical Conference (USENIX ATC 23), pages 149–164, 2023.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores In 2023 USENIX Annual Technical Conference (USENIX ATC 23), pages 149–164, 2023

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.140130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.646228Z digest=sha256:d190a53b0d7b751730fa59ed0be63f61f4871e3e3efc8b4d3c19c0c1e8a0571c

Observation 4ef80676-eb3b-4dc8-944c-ced83f3f82c1 · outbound

This paper cites Sparse- tir: Composable abstractions for sparse compilation in deep learning.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Sparse- tir: Composable abstractions for sparse compilation in deep learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.125606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.650756Z digest=sha256:6a4af0d34549b2d09ffb540fc49fc7736a05239869ec522861a9a32bc2e313be

Observation 29123756-0e7d-4529-b82f-28aac34b8c6c · outbound

This paper cites Chien, Philippe Vandermersch, and Ujval Kapasi.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Chien, Philippe Vandermersch, and Ujval Kapasi

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.110617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.655297Z digest=sha256:447f04ccf0a4e84455c67477fb446c712e8314524a35b98f0d28a77e1c177054

Observation e82aad72-5cd8-4a29-b329-57d0cab628fe · outbound

This paper cites https://developer.nvidia.com/rtx-4090- graphics-cards.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores https://developer.nvidia.com/rtx-4090- graphics-cards

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.094219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.660105Z digest=sha256:3de0d581d6c5075d97ca071e17f334bdd1c0c9d25365e10e78ce2a63a2f6eb3d

Observation ace8e9da-4573-4316-9d58-89f14dbaf8c5 · outbound

This paper cites Nvidia a100: A 16-trump tensor core gpu architecture.Journal of Supercomputing, 56(2):1–1, 2020.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Nvidia a100: A 16-trump tensor core gpu architecture.Journal of Supercomputing, 56(2):1–1, 2020

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.079059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.664756Z digest=sha256:88eaa6956d002a047c464567aeace42483cbe40579e3f26e7cc1738e3aaa26f5

Observation 8c963d1d-8d41-4fe9-843f-76f9b26bf081 · outbound

This paper cites https://developer.nvidia.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores https://developer.nvidia

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.061351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.670151Z digest=sha256:6dba4b95760d20b0cb9b81bcf29d01a6d04efe88270902fd38895b4215cd03f6

Observation 130ffc8c-e811-424e-b40c-cd06d3bae64b · outbound

This paper cites https://developer.nvidia.com/cuda-toolkit.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores https://developer.nvidia.com/cuda-toolkit

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.041832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.675940Z digest=sha256:d18992ed49723e77cce71980c921e5093a1d94c0fb67a6b1b199aa6e268b7e55

Observation ed5db189-3f86-4e03-90f9-2be7132b6bd2 · outbound

This paper cites The Volta Architecture Whitepaper.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores The Volta Architecture Whitepaper

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:53.025614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.680576Z digest=sha256:270c7a97653db9e0fdbf49c620fcb9772ff6a4aa9a28a0b86ce02b608a059bd0

Observation c8a8498c-61b5-4fbd-ab84-51797f3d3e85 · outbound

This paper cites an unresolved cited work.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:11:53.007600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.685656Z digest=sha256:e3699d9bee88cc88f2c44abab851c8862bd116e05d0076a16b5a539d1b815cc4

Observation 4dea68c7-6724-44d2-82c7-b9eb3f51dce8 · outbound

This paper cites Iterative Methods for Sparse Linear Systems.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Iterative Methods for Sparse Linear Systems

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:52.992268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.690448Z digest=sha256:ba2fd7959cc389818a297eec6740167be7bbc6ecce64e018d7f8bd1d6a0107db

Observation e6e4dba0-e0c8-4a9e-86cd-69f6f100165f · outbound

This paper cites Barrett, M.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Barrett, M

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:52.976348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.695313Z digest=sha256:18be73711247427b0145d402af5da4f1268364d69c067b601e092e78f1521e98

Observation f1dbeb08-b651-482e-b697-0e906ebc2a2b · outbound

This paper cites Finding and evaluating community structurein networks.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Finding and evaluating community structurein networks

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:52.960687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.701338Z digest=sha256:eb37a19974b3c925841e47d1e69ea0129c4196e4067c14c994fbebdb61d37de2

Observation aea8cd1c-d001-4ecc-9004-69523ba72181 · outbound

This paper cites FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:11:52.805572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.705588Z digest=sha256:1f2ca07a9b678d2ee79e5d5b828c22bc357f453bb8606d94047a18f2991b99d8

Observation 1f4c723b-7369-408a-b9c1-ed9bb6e5ccb5 · outbound

This paper cites Snap: A general-purpose network analy- sis and graph-mining library.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Snap: A general-purpose network analy- sis and graph-mining library

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:52.946295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.710321Z digest=sha256:d8315c7736155a83b3f5957c7da93eef9c4faeff2eb1763e3f5512ebd1d46ec1

Observation 89cc003f-73df-4863-8d5a-c274be2c3b6d · outbound

This paper cites Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T20:11:52.714590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:11:52.714590Z digest=sha256:9862b8de21688944c4dadd19d399f794b72f8ce180703f670b53abd7d84fe8f7

Observation a9d9db34-6dea-418a-b11f-fa607b9f1e37 · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Open graph benchmark: Datasets for machine learning on graphs

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-10T20:11:52.719085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:11:52.719085Z digest=sha256:7d36215346cdc5c0c897e9b95214694aeac1850a8a41c576c5a85041a9190e93

Observation 348ef2dc-d95c-4094-a421-6d874b134b27 · outbound

This paper cites A software package for partitioning unstructured graphs, partitioning meshes, and computing fill-reducing orderings of sparse matrices.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores A software package for partitioning unstructured graphs, partitioning meshes, and computing fill-reducing orderings of sparse matrices

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:52.920481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.723257Z digest=sha256:66598825abdb6ebfef75b35204c25ea9609a1597de46d83e5c2f524c2983d6a4

Observation db573529-a980-4348-b30a-fca645b0d99e · outbound

This paper cites an unresolved cited work.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:11:52.900704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.727397Z digest=sha256:f447a2325419b3aa071937761c0df8403522dc164d8f8acc050d6a33210c2426

Observation f9c8d34e-b738-4df8-bd1f-f79e3f9f065c · outbound

This paper cites Understanding and bridging the gaps in current gnn perfor- mance optimizations.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Understanding and bridging the gaps in current gnn perfor- mance optimizations

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:52.885204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.731601Z digest=sha256:0324c6be16d047d3b4a71eec4afbac12f428432d3b0ea81083563afca61efeba

Observation 449d6418-678f-4961-98d6-5cc37a056380 · outbound

This paper cites Çatalyürek, Srinivasan Parthasarathy, and P.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Çatalyürek, Srinivasan Parthasarathy, and P

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:52.869541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.735777Z digest=sha256:821297a0e12910cb0f45ac0a5b415ae44258bc5cdace2aa343be82ff61b5e65d

Observation c9f74ec1-f122-4b2b-a965-70ed3393956b · outbound

This paper cites A row decomposition-based approach for sparse matrix multiplication on gpus.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores A row decomposition-based approach for sparse matrix multiplication on gpus

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:52.853536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.740144Z digest=sha256:923a9fce626a154526f59f0b73df3862dabbfbecce36d71bf6d21eb08d394182

Observation d8f9493a-5976-41e6-9154-d99cb9eaddb0 · outbound

This paper cites Exploiting nvidia ampere structured sparsity with cusparselt.

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Exploiting nvidia ampere structured sparsity with cusparselt

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:11:52.837779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:11:52.744148Z digest=sha256:a6a7c6d4cba6d0bff88cf460cc0e0a307b356c99f551d25c8aae03db69ef03ee

Pith citing papers

Observation 0dd6c7fd-666c-4468-8bf3-ad93ba778c6a · inbound

Fused3S: Fast Sparse Attention on Tensor Cores cites this paper.

Fused3S: Fast Sparse Attention on Tensor Cores Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T22:07:36.911886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:07:36.911886Z digest=sha256:c5f455e587abfbf3bc44820cc2f42023cf4ecc8528c1ee2b0395fcbbb439e2bd

Observation 050e4c42-a25a-48c5-9609-7607d0a8fe2d · inbound

Exploring Sparse Matrix Multiplication Kernels on the Cerebras CS-3 cites this paper.

Exploring Sparse Matrix Multiplication Kernels on the Cerebras CS-3 Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:26:28.904118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T06:14:12.828938Z digest=sha256:a055925be38b030ef895751eb4791fbc3e651f2fbef6ba978f1bf5f971cb7eb8