Improved data transfer efficiency for scale‐out heterogeneous workloads using on‐the‐fly I/O link compression Article Swipe
Max Plauth
,
Joan Bruguera Micó
,
Andreas Polze
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1002/cpe.6101
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1002/cpe.6101
Summary Graphics processing units (GPUs) are unarguably vital to keep up with the perpetually growing demand for compute capacity of data‐intensive applications. However, the overhead of transferring data between host and GPU memory is already a major limiting factor on the single‐node level. The situation intensifies in scale‐out scenarios, where data movement is becoming even more expensive. By augmenting the CloudCL framework with 842‐based compression facilities, this article demonstrates that transparent on‐the‐fly I/O link compression can yield performance improvements between 1.11× and 2.07× across tested scale‐out GPU workloads.
Related Topics
Concepts
Computer science
On the fly
Overhead (engineering)
Limiting
Graphics
Data transmission
Compression (physics)
Transfer (computing)
Scale (ratio)
Data compression
Host (biology)
Node (physics)
Parallel computing
Operating system
Computer hardware
Engineering
Artificial intelligence
Structural engineering
Composite material
Materials science
Ecology
Quantum mechanics
Mechanical engineering
Biology
Physics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/cpe.6101
- OA Status
- hybrid
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3108459617
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3108459617Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1002/cpe.6101Digital Object Identifier
- Title
-
Improved data transfer efficiency for scale‐out heterogeneous workloads using on‐the‐fly I/O link compressionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-12-01Full publication date if available
- Authors
-
Max Plauth, Joan Bruguera Micó, Andreas PolzeList of authors in order
- Landing page
-
https://doi.org/10.1002/cpe.6101Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1002/cpe.6101Direct OA link when available
- Concepts
-
Computer science, On the fly, Overhead (engineering), Limiting, Graphics, Data transmission, Compression (physics), Transfer (computing), Scale (ratio), Data compression, Host (biology), Node (physics), Parallel computing, Operating system, Computer hardware, Engineering, Artificial intelligence, Structural engineering, Composite material, Materials science, Ecology, Quantum mechanics, Mechanical engineering, Biology, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
31Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3108459617 |
|---|---|
| doi | https://doi.org/10.1002/cpe.6101 |
| ids.doi | https://doi.org/10.1002/cpe.6101 |
| ids.mag | 3108459617 |
| ids.openalex | https://openalex.org/W3108459617 |
| fwci | 0.0 |
| type | article |
| title | Improved data transfer efficiency for scale‐out heterogeneous workloads using on‐the‐fly I/O link compression |
| biblio.issue | 11 |
| biblio.volume | 35 |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11181 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1705 |
| topics[0].subfield.display_name | Computer Networks and Communications |
| topics[0].display_name | Advanced Data Storage Technologies |
| topics[1].id | https://openalex.org/T10054 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9995999932289124 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1708 |
| topics[1].subfield.display_name | Hardware and Architecture |
| topics[1].display_name | Parallel Computing and Optimization Techniques |
| topics[2].id | https://openalex.org/T11269 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9991000294685364 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1702 |
| topics[2].subfield.display_name | Artificial Intelligence |
| topics[2].display_name | Algorithms and Data Compression |
| is_xpac | False |
| apc_list.value | 4740 |
| apc_list.currency | USD |
| apc_list.value_usd | 4740 |
| apc_paid.value | 4740 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 4740 |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.757216215133667 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C2781020372 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6791425347328186 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q533093 |
| concepts[1].display_name | On the fly |
| concepts[2].id | https://openalex.org/C2779960059 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6648287773132324 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q7113681 |
| concepts[2].display_name | Overhead (engineering) |
| concepts[3].id | https://openalex.org/C188198153 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6175687313079834 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1613840 |
| concepts[3].display_name | Limiting |
| concepts[4].id | https://openalex.org/C21442007 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5760685205459595 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1027879 |
| concepts[4].display_name | Graphics |
| concepts[5].id | https://openalex.org/C557945733 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5637816190719604 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q389772 |
| concepts[5].display_name | Data transmission |
| concepts[6].id | https://openalex.org/C180016635 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5405697822570801 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2712821 |
| concepts[6].display_name | Compression (physics) |
| concepts[7].id | https://openalex.org/C2776175482 |
| concepts[7].level | 2 |
| concepts[7].score | 0.5133673548698425 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1195816 |
| concepts[7].display_name | Transfer (computing) |
| concepts[8].id | https://openalex.org/C2778755073 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4854715168476105 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q10858537 |
| concepts[8].display_name | Scale (ratio) |
| concepts[9].id | https://openalex.org/C78548338 |
| concepts[9].level | 2 |
| concepts[9].score | 0.48019683361053467 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q2493 |
| concepts[9].display_name | Data compression |
| concepts[10].id | https://openalex.org/C126831891 |
| concepts[10].level | 2 |
| concepts[10].score | 0.46427980065345764 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q221673 |
| concepts[10].display_name | Host (biology) |
| concepts[11].id | https://openalex.org/C62611344 |
| concepts[11].level | 2 |
| concepts[11].score | 0.44552624225616455 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q1062658 |
| concepts[11].display_name | Node (physics) |
| concepts[12].id | https://openalex.org/C173608175 |
| concepts[12].level | 1 |
| concepts[12].score | 0.36573272943496704 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q232661 |
| concepts[12].display_name | Parallel computing |
| concepts[13].id | https://openalex.org/C111919701 |
| concepts[13].level | 1 |
| concepts[13].score | 0.27324700355529785 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[13].display_name | Operating system |
| concepts[14].id | https://openalex.org/C9390403 |
| concepts[14].level | 1 |
| concepts[14].score | 0.2253303825855255 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q3966 |
| concepts[14].display_name | Computer hardware |
| concepts[15].id | https://openalex.org/C127413603 |
| concepts[15].level | 0 |
| concepts[15].score | 0.08534952998161316 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[15].display_name | Engineering |
| concepts[16].id | https://openalex.org/C154945302 |
| concepts[16].level | 1 |
| concepts[16].score | 0.07447308301925659 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[16].display_name | Artificial intelligence |
| concepts[17].id | https://openalex.org/C66938386 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q633538 |
| concepts[17].display_name | Structural engineering |
| concepts[18].id | https://openalex.org/C159985019 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q181790 |
| concepts[18].display_name | Composite material |
| concepts[19].id | https://openalex.org/C192562407 |
| concepts[19].level | 0 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q228736 |
| concepts[19].display_name | Materials science |
| concepts[20].id | https://openalex.org/C18903297 |
| concepts[20].level | 1 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q7150 |
| concepts[20].display_name | Ecology |
| concepts[21].id | https://openalex.org/C62520636 |
| concepts[21].level | 1 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[21].display_name | Quantum mechanics |
| concepts[22].id | https://openalex.org/C78519656 |
| concepts[22].level | 1 |
| concepts[22].score | 0.0 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q101333 |
| concepts[22].display_name | Mechanical engineering |
| concepts[23].id | https://openalex.org/C86803240 |
| concepts[23].level | 0 |
| concepts[23].score | 0.0 |
| concepts[23].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[23].display_name | Biology |
| concepts[24].id | https://openalex.org/C121332964 |
| concepts[24].level | 0 |
| concepts[24].score | 0.0 |
| concepts[24].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[24].display_name | Physics |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.757216215133667 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/on-the-fly |
| keywords[1].score | 0.6791425347328186 |
| keywords[1].display_name | On the fly |
| keywords[2].id | https://openalex.org/keywords/overhead |
| keywords[2].score | 0.6648287773132324 |
| keywords[2].display_name | Overhead (engineering) |
| keywords[3].id | https://openalex.org/keywords/limiting |
| keywords[3].score | 0.6175687313079834 |
| keywords[3].display_name | Limiting |
| keywords[4].id | https://openalex.org/keywords/graphics |
| keywords[4].score | 0.5760685205459595 |
| keywords[4].display_name | Graphics |
| keywords[5].id | https://openalex.org/keywords/data-transmission |
| keywords[5].score | 0.5637816190719604 |
| keywords[5].display_name | Data transmission |
| keywords[6].id | https://openalex.org/keywords/compression |
| keywords[6].score | 0.5405697822570801 |
| keywords[6].display_name | Compression (physics) |
| keywords[7].id | https://openalex.org/keywords/transfer |
| keywords[7].score | 0.5133673548698425 |
| keywords[7].display_name | Transfer (computing) |
| keywords[8].id | https://openalex.org/keywords/scale |
| keywords[8].score | 0.4854715168476105 |
| keywords[8].display_name | Scale (ratio) |
| keywords[9].id | https://openalex.org/keywords/data-compression |
| keywords[9].score | 0.48019683361053467 |
| keywords[9].display_name | Data compression |
| keywords[10].id | https://openalex.org/keywords/host |
| keywords[10].score | 0.46427980065345764 |
| keywords[10].display_name | Host (biology) |
| keywords[11].id | https://openalex.org/keywords/node |
| keywords[11].score | 0.44552624225616455 |
| keywords[11].display_name | Node (physics) |
| keywords[12].id | https://openalex.org/keywords/parallel-computing |
| keywords[12].score | 0.36573272943496704 |
| keywords[12].display_name | Parallel computing |
| keywords[13].id | https://openalex.org/keywords/operating-system |
| keywords[13].score | 0.27324700355529785 |
| keywords[13].display_name | Operating system |
| keywords[14].id | https://openalex.org/keywords/computer-hardware |
| keywords[14].score | 0.2253303825855255 |
| keywords[14].display_name | Computer hardware |
| keywords[15].id | https://openalex.org/keywords/engineering |
| keywords[15].score | 0.08534952998161316 |
| keywords[15].display_name | Engineering |
| keywords[16].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[16].score | 0.07447308301925659 |
| keywords[16].display_name | Artificial intelligence |
| language | en |
| locations[0].id | doi:10.1002/cpe.6101 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S11065456 |
| locations[0].source.issn | 1532-0626, 1532-0634 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1532-0626 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Concurrency and Computation Practice and Experience |
| locations[0].source.host_organization | https://openalex.org/P4310320595 |
| locations[0].source.host_organization_name | Wiley |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320595 |
| locations[0].source.host_organization_lineage_names | Wiley |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Concurrency and Computation: Practice and Experience |
| locations[0].landing_page_url | https://doi.org/10.1002/cpe.6101 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5042464787 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-7764-3336 |
| authorships[0].author.display_name | Max Plauth |
| authorships[0].countries | DE |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[0].affiliations[0].raw_affiliation_string | Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany |
| authorships[0].institutions[0].id | https://openalex.org/I143288331 |
| authorships[0].institutions[0].ror | https://ror.org/058rn5r42 |
| authorships[0].institutions[0].type | facility |
| authorships[0].institutions[0].lineage | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[0].institutions[0].country_code | DE |
| authorships[0].institutions[0].display_name | Hasso Plattner Institute |
| authorships[0].institutions[1].id | https://openalex.org/I176453806 |
| authorships[0].institutions[1].ror | https://ror.org/03bnmw459 |
| authorships[0].institutions[1].type | education |
| authorships[0].institutions[1].lineage | https://openalex.org/I176453806 |
| authorships[0].institutions[1].country_code | DE |
| authorships[0].institutions[1].display_name | University of Potsdam |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Max Plauth |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany |
| authorships[1].author.id | https://openalex.org/A5006279445 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Joan Bruguera Micó |
| authorships[1].countries | ES |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I9617848 |
| authorships[1].affiliations[0].raw_affiliation_string | Barcelona School of Informatics, Polytechnic University of Catalonia, Barcelona, Spain |
| authorships[1].institutions[0].id | https://openalex.org/I9617848 |
| authorships[1].institutions[0].ror | https://ror.org/03mb6wj31 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I9617848 |
| authorships[1].institutions[0].country_code | ES |
| authorships[1].institutions[0].display_name | Universitat Politècnica de Catalunya |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Joan Bruguera Micó |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Barcelona School of Informatics, Polytechnic University of Catalonia, Barcelona, Spain |
| authorships[2].author.id | https://openalex.org/A5074535002 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-3423-8602 |
| authorships[2].author.display_name | Andreas Polze |
| authorships[2].countries | DE |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[2].affiliations[0].raw_affiliation_string | Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany |
| authorships[2].institutions[0].id | https://openalex.org/I143288331 |
| authorships[2].institutions[0].ror | https://ror.org/058rn5r42 |
| authorships[2].institutions[0].type | facility |
| authorships[2].institutions[0].lineage | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[2].institutions[0].country_code | DE |
| authorships[2].institutions[0].display_name | Hasso Plattner Institute |
| authorships[2].institutions[1].id | https://openalex.org/I176453806 |
| authorships[2].institutions[1].ror | https://ror.org/03bnmw459 |
| authorships[2].institutions[1].type | education |
| authorships[2].institutions[1].lineage | https://openalex.org/I176453806 |
| authorships[2].institutions[1].country_code | DE |
| authorships[2].institutions[1].display_name | University of Potsdam |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Andreas Polze |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1002/cpe.6101 |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Improved data transfer efficiency for scale‐out heterogeneous workloads using on‐the‐fly I/O link compression |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11181 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1705 |
| primary_topic.subfield.display_name | Computer Networks and Communications |
| primary_topic.display_name | Advanced Data Storage Technologies |
| related_works | https://openalex.org/W10042887, https://openalex.org/W1897440242, https://openalex.org/W2218233845, https://openalex.org/W2370550542, https://openalex.org/W2232108453, https://openalex.org/W2370124876, https://openalex.org/W2049188538, https://openalex.org/W2391359489, https://openalex.org/W2390100812, https://openalex.org/W4200348530 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1002/cpe.6101 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S11065456 |
| best_oa_location.source.issn | 1532-0626, 1532-0634 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 1532-0626 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Concurrency and Computation Practice and Experience |
| best_oa_location.source.host_organization | https://openalex.org/P4310320595 |
| best_oa_location.source.host_organization_name | Wiley |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320595 |
| best_oa_location.source.host_organization_lineage_names | Wiley |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Concurrency and Computation: Practice and Experience |
| best_oa_location.landing_page_url | https://doi.org/10.1002/cpe.6101 |
| primary_location.id | doi:10.1002/cpe.6101 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S11065456 |
| primary_location.source.issn | 1532-0626, 1532-0634 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1532-0626 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Concurrency and Computation Practice and Experience |
| primary_location.source.host_organization | https://openalex.org/P4310320595 |
| primary_location.source.host_organization_name | Wiley |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320595 |
| primary_location.source.host_organization_lineage_names | Wiley |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Concurrency and Computation: Practice and Experience |
| primary_location.landing_page_url | https://doi.org/10.1002/cpe.6101 |
| publication_date | 2020-12-01 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W2903901007, https://openalex.org/W3028661980, https://openalex.org/W2963235000, https://openalex.org/W2747704798, https://openalex.org/W2886806093, https://openalex.org/W2907812388, https://openalex.org/W2605962163, https://openalex.org/W2971357983, https://openalex.org/W2066637933, https://openalex.org/W3000117384, https://openalex.org/W2820061697, https://openalex.org/W2107745473, https://openalex.org/W2057851050, https://openalex.org/W2253855427, https://openalex.org/W2100981650, https://openalex.org/W2977245953, https://openalex.org/W2022126655, https://openalex.org/W2923451093, https://openalex.org/W3022780003, https://openalex.org/W2081140905, https://openalex.org/W3107573496, https://openalex.org/W3003920147, https://openalex.org/W4239291609, https://openalex.org/W2559104057, https://openalex.org/W2554502527, https://openalex.org/W2611538725, https://openalex.org/W2081829536, https://openalex.org/W1988307172, https://openalex.org/W1581228599, https://openalex.org/W1991518265, https://openalex.org/W3139951755 |
| referenced_works_count | 31 |
| abstract_inverted_index.a | 35 |
| abstract_inverted_index.By | 57 |
| abstract_inverted_index.in | 46 |
| abstract_inverted_index.is | 33, 52 |
| abstract_inverted_index.of | 19, 25 |
| abstract_inverted_index.on | 39 |
| abstract_inverted_index.to | 8 |
| abstract_inverted_index.up | 10 |
| abstract_inverted_index.GPU | 31, 86 |
| abstract_inverted_index.I/O | 72 |
| abstract_inverted_index.The | 43 |
| abstract_inverted_index.and | 30, 81 |
| abstract_inverted_index.are | 5 |
| abstract_inverted_index.can | 75 |
| abstract_inverted_index.for | 16 |
| abstract_inverted_index.the | 12, 23, 40, 59 |
| abstract_inverted_index.data | 27, 50 |
| abstract_inverted_index.even | 54 |
| abstract_inverted_index.host | 29 |
| abstract_inverted_index.keep | 9 |
| abstract_inverted_index.link | 73 |
| abstract_inverted_index.more | 55 |
| abstract_inverted_index.that | 69 |
| abstract_inverted_index.this | 66 |
| abstract_inverted_index.with | 11, 62 |
| abstract_inverted_index.major | 36 |
| abstract_inverted_index.units | 3 |
| abstract_inverted_index.vital | 7 |
| abstract_inverted_index.where | 49 |
| abstract_inverted_index.yield | 76 |
| abstract_inverted_index.(GPUs) | 4 |
| abstract_inverted_index.1.11× | 80 |
| abstract_inverted_index.2.07× | 82 |
| abstract_inverted_index.across | 83 |
| abstract_inverted_index.demand | 15 |
| abstract_inverted_index.factor | 38 |
| abstract_inverted_index.level. | 42 |
| abstract_inverted_index.memory | 32 |
| abstract_inverted_index.tested | 84 |
| abstract_inverted_index.CloudCL | 60 |
| abstract_inverted_index.Summary | 0 |
| abstract_inverted_index.already | 34 |
| abstract_inverted_index.article | 67 |
| abstract_inverted_index.between | 28, 79 |
| abstract_inverted_index.compute | 17 |
| abstract_inverted_index.growing | 14 |
| abstract_inverted_index.Graphics | 1 |
| abstract_inverted_index.However, | 22 |
| abstract_inverted_index.becoming | 53 |
| abstract_inverted_index.capacity | 18 |
| abstract_inverted_index.limiting | 37 |
| abstract_inverted_index.movement | 51 |
| abstract_inverted_index.overhead | 24 |
| abstract_inverted_index.framework | 61 |
| abstract_inverted_index.situation | 44 |
| abstract_inverted_index.augmenting | 58 |
| abstract_inverted_index.expensive. | 56 |
| abstract_inverted_index.processing | 2 |
| abstract_inverted_index.scenarios, | 48 |
| abstract_inverted_index.unarguably | 6 |
| abstract_inverted_index.workloads. | 87 |
| abstract_inverted_index.842‐based | 63 |
| abstract_inverted_index.compression | 64, 74 |
| abstract_inverted_index.facilities, | 65 |
| abstract_inverted_index.intensifies | 45 |
| abstract_inverted_index.performance | 77 |
| abstract_inverted_index.perpetually | 13 |
| abstract_inverted_index.scale‐out | 47, 85 |
| abstract_inverted_index.transparent | 70 |
| abstract_inverted_index.demonstrates | 68 |
| abstract_inverted_index.improvements | 78 |
| abstract_inverted_index.transferring | 26 |
| abstract_inverted_index.applications. | 21 |
| abstract_inverted_index.single‐node | 41 |
| abstract_inverted_index.on‐the‐fly | 71 |
| abstract_inverted_index.data‐intensive | 20 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5042464787 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| citation_normalized_percentile.value | 0.18439786 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |