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Bridging the gap between deep learning and sparse matrix format selection

Research article (Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018) · cited 94× · AI/ML
CreativeWork academia

Facts

4 properties
Instance of
scholarly article[2]
Publication date
February 6, 2018as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Sponsor
National Science Foundationas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Title
Bridging the gap between deep learning and sparse matrix format selectionas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W2788264912as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
DOI
10.1145/3178487.3178495as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 3
Chunhua Liao, Jiajia Li, Xipeng Shen
← Author of 3
Chunhua Liao, Jiajia Li, Xipeng Shen
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Summary

Bridging the gap between deep learning and sparse matrix format selection is a scholarly article[1].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Bridging the gap between deep learning and sparse matrix format selection. Retrieved October 18, 2026, from https://4ort.xyz/entity/bridging-the-gap-between-deep-learning-and-sparse-matrix-format-selection
MLA “Bridging the gap between deep learning and sparse matrix format selection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/bridging-the-gap-between-deep-learning-and-sparse-matrix-format-selection.
BibTeX @misc{4ortxyz_bridging-the-gap-between-deep-learning-and-sparse-matrix-format-selection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bridging the gap between deep learning and sparse matrix format selection}}, year = {2026}, url = {https://4ort.xyz/entity/bridging-the-gap-between-deep-learning-and-sparse-matrix-format-selection}, note = {Accessed: 2026-10-18}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bridging the gap between deep learning and sparse matrix format selection — https://4ort.xyz/entity/bridging-the-gap-between-deep-learning-and-sparse-matrix-format-selection (retrieved 2026-10-18)

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