A Multi-FPGA Implementation of FM-Index Based Genomic Pattern Search Article Swipe
Ullah M. M. Imdad
,
Akram Ben Ahmed
,
Kazuei Hironaka
,
Kensuke Iizuka
,
Hideharu Amano
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1587/transinf.2022edp7230
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1587/transinf.2022edp7230
FPGA clusters that consist of multiple FPGA boards have been gaining interest in recent times. Massively parallel processing with a stand-alone heterogeneous FPGA cluster with SoC- style FPGAs and mid-scale FPGAs is promising with cost-performance benefit. Here, we propose such a heterogeneous FPGA cluster with FiC and M-KUBOS cluster. FiC consists of multiple boards, mounting middle scale Xilinx's FPGAs and DRAMs, which are tightly coupled with high-speed serial links. In addition, M-KUBOS boards are connected to FiC for ensuring high IO data transfer bandwidth. As an example of massively parallel processing, here we implement genomic pattern search. Next-generation sequencing (NGS) technology has revolutionized biological system related research by its high-speed, scalable and massive throughput. To analyze the genomic data, short read mapping technique is used where short Deoxyribonucleic acid (DNA) sequences are mapped relative to a known reference sequence. Although several pattern matching techniques are available, FM-index based pattern search is perfectly suitable for this task due to the fastest mapping from known indices. Since matching can be done in parallel for different data, the massively parallel computing which distributes data, executes in parallel and gathers the results can be applied. We also implement a data compression method where about 10 times reduction in data size is achieved. We found that a M-KUBOS board matches four FiC boards, and a system with six M-KUBOS boards and 24 FiC boards achieved 30 times faster than the software based implementation.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1587/transinf.2022edp7230
- https://www.jstage.jst.go.jp/article/transinf/E106.D/11/E106.D_2022EDP7230/_pdf
- OA Status
- diamond
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388038182
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4388038182Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1587/transinf.2022edp7230Digital Object Identifier
- Title
-
A Multi-FPGA Implementation of FM-Index Based Genomic Pattern SearchWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-31Full publication date if available
- Authors
-
Ullah M. M. Imdad, Akram Ben Ahmed, Kazuei Hironaka, Kensuke Iizuka, Hideharu AmanoList of authors in order
- Landing page
-
https://doi.org/10.1587/transinf.2022edp7230Publisher landing page
- PDF URL
-
https://www.jstage.jst.go.jp/article/transinf/E106.D/11/E106.D_2022EDP7230/_pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://www.jstage.jst.go.jp/article/transinf/E106.D/11/E106.D_2022EDP7230/_pdfDirect OA link when available
- Concepts
-
Computer science, Massively parallel, Field-programmable gate array, Scalability, Parallel computing, Throughput, Reduction (mathematics), Computer hardware, Operating system, Geometry, Mathematics, WirelessTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
44Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4388038182 |
|---|---|
| doi | https://doi.org/10.1587/transinf.2022edp7230 |
| ids.doi | https://doi.org/10.1587/transinf.2022edp7230 |
| ids.openalex | https://openalex.org/W4388038182 |
| fwci | 0.0 |
| type | article |
| title | A Multi-FPGA Implementation of FM-Index Based Genomic Pattern Search |
| biblio.issue | 11 |
| biblio.volume | E106.D |
| biblio.last_page | 1795 |
| biblio.first_page | 1783 |
| topics[0].id | https://openalex.org/T11269 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9939000010490417 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Algorithms and Data Compression |
| topics[1].id | https://openalex.org/T10885 |
| topics[1].field.id | https://openalex.org/fields/13 |
| topics[1].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[1].score | 0.9921000003814697 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1312 |
| topics[1].subfield.display_name | Molecular Biology |
| topics[1].display_name | Gene expression and cancer classification |
| topics[2].id | https://openalex.org/T10015 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.9851999878883362 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1312 |
| topics[2].subfield.display_name | Molecular Biology |
| topics[2].display_name | Genomics and Phylogenetic Studies |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.8661745190620422 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C190475519 |
| concepts[1].level | 2 |
| concepts[1].score | 0.793421745300293 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q544384 |
| concepts[1].display_name | Massively parallel |
| concepts[2].id | https://openalex.org/C42935608 |
| concepts[2].level | 2 |
| concepts[2].score | 0.7680286765098572 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q190411 |
| concepts[2].display_name | Field-programmable gate array |
| concepts[3].id | https://openalex.org/C48044578 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6420941352844238 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q727490 |
| concepts[3].display_name | Scalability |
| concepts[4].id | https://openalex.org/C173608175 |
| concepts[4].level | 1 |
| concepts[4].score | 0.5598475337028503 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q232661 |
| concepts[4].display_name | Parallel computing |
| concepts[5].id | https://openalex.org/C157764524 |
| concepts[5].level | 3 |
| concepts[5].score | 0.5127207040786743 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1383412 |
| concepts[5].display_name | Throughput |
| concepts[6].id | https://openalex.org/C111335779 |
| concepts[6].level | 2 |
| concepts[6].score | 0.41409942507743835 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q3454686 |
| concepts[6].display_name | Reduction (mathematics) |
| concepts[7].id | https://openalex.org/C9390403 |
| concepts[7].level | 1 |
| concepts[7].score | 0.36165115237236023 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q3966 |
| concepts[7].display_name | Computer hardware |
| concepts[8].id | https://openalex.org/C111919701 |
| concepts[8].level | 1 |
| concepts[8].score | 0.10159456729888916 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[8].display_name | Operating system |
| concepts[9].id | https://openalex.org/C2524010 |
| concepts[9].level | 1 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[9].display_name | Geometry |
| concepts[10].id | https://openalex.org/C33923547 |
| concepts[10].level | 0 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[10].display_name | Mathematics |
| concepts[11].id | https://openalex.org/C555944384 |
| concepts[11].level | 2 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q249 |
| concepts[11].display_name | Wireless |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.8661745190620422 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/massively-parallel |
| keywords[1].score | 0.793421745300293 |
| keywords[1].display_name | Massively parallel |
| keywords[2].id | https://openalex.org/keywords/field-programmable-gate-array |
| keywords[2].score | 0.7680286765098572 |
| keywords[2].display_name | Field-programmable gate array |
| keywords[3].id | https://openalex.org/keywords/scalability |
| keywords[3].score | 0.6420941352844238 |
| keywords[3].display_name | Scalability |
| keywords[4].id | https://openalex.org/keywords/parallel-computing |
| keywords[4].score | 0.5598475337028503 |
| keywords[4].display_name | Parallel computing |
| keywords[5].id | https://openalex.org/keywords/throughput |
| keywords[5].score | 0.5127207040786743 |
| keywords[5].display_name | Throughput |
| keywords[6].id | https://openalex.org/keywords/reduction |
| keywords[6].score | 0.41409942507743835 |
| keywords[6].display_name | Reduction (mathematics) |
| keywords[7].id | https://openalex.org/keywords/computer-hardware |
| keywords[7].score | 0.36165115237236023 |
| keywords[7].display_name | Computer hardware |
| keywords[8].id | https://openalex.org/keywords/operating-system |
| keywords[8].score | 0.10159456729888916 |
| keywords[8].display_name | Operating system |
| language | en |
| locations[0].id | doi:10.1587/transinf.2022edp7230 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2486202937 |
| locations[0].source.issn | 0916-8532, 1745-1361 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 0916-8532 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | IEICE Transactions on Information and Systems |
| locations[0].source.host_organization | https://openalex.org/P4320800604 |
| locations[0].source.host_organization_name | Institute of Electronics, Information and Communication Engineers |
| locations[0].source.host_organization_lineage | https://openalex.org/P4320800604 |
| locations[0].source.host_organization_lineage_names | Institute of Electronics, Information and Communication Engineers |
| locations[0].license | |
| locations[0].pdf_url | https://www.jstage.jst.go.jp/article/transinf/E106.D/11/E106.D_2022EDP7230/_pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | IEICE Transactions on Information and Systems |
| locations[0].landing_page_url | https://doi.org/10.1587/transinf.2022edp7230 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5062472600 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Ullah M. M. Imdad |
| authorships[0].countries | JP |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I203951103 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Information & Computer Science, Keio University |
| authorships[0].institutions[0].id | https://openalex.org/I203951103 |
| authorships[0].institutions[0].ror | https://ror.org/02kn6nx58 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I203951103 |
| authorships[0].institutions[0].country_code | JP |
| authorships[0].institutions[0].display_name | Keio University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Ullah IMDAD |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Information & Computer Science, Keio University |
| authorships[1].author.id | https://openalex.org/A5002677279 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-1253-8620 |
| authorships[1].author.display_name | Akram Ben Ahmed |
| authorships[1].countries | JP |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I73613424 |
| authorships[1].affiliations[0].raw_affiliation_string | National Institute of Advanced Industrial Science and Technology (AIST) |
| authorships[1].institutions[0].id | https://openalex.org/I73613424 |
| authorships[1].institutions[0].ror | https://ror.org/01703db54 |
| authorships[1].institutions[0].type | government |
| authorships[1].institutions[0].lineage | https://openalex.org/I73613424 |
| authorships[1].institutions[0].country_code | JP |
| authorships[1].institutions[0].display_name | National Institute of Advanced Industrial Science and Technology |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Akram BEN AHMED |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | National Institute of Advanced Industrial Science and Technology (AIST) |
| authorships[2].author.id | https://openalex.org/A5080549879 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Kazuei Hironaka |
| authorships[2].countries | JP |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I203951103 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Information & Computer Science, Keio University |
| authorships[2].institutions[0].id | https://openalex.org/I203951103 |
| authorships[2].institutions[0].ror | https://ror.org/02kn6nx58 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I203951103 |
| authorships[2].institutions[0].country_code | JP |
| authorships[2].institutions[0].display_name | Keio University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Kazuei HIRONAKA |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Information & Computer Science, Keio University |
| authorships[3].author.id | https://openalex.org/A5062174973 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Kensuke Iizuka |
| authorships[3].countries | JP |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I203951103 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Information & Computer Science, Keio University |
| authorships[3].institutions[0].id | https://openalex.org/I203951103 |
| authorships[3].institutions[0].ror | https://ror.org/02kn6nx58 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I203951103 |
| authorships[3].institutions[0].country_code | JP |
| authorships[3].institutions[0].display_name | Keio University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Kensuke IIZUKA |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Information & Computer Science, Keio University |
| authorships[4].author.id | https://openalex.org/A5113742339 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Hideharu Amano |
| authorships[4].countries | JP |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I203951103 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Information & Computer Science, Keio University |
| authorships[4].institutions[0].id | https://openalex.org/I203951103 |
| authorships[4].institutions[0].ror | https://ror.org/02kn6nx58 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I203951103 |
| authorships[4].institutions[0].country_code | JP |
| authorships[4].institutions[0].display_name | Keio University |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Hideharu AMANO |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Information & Computer Science, Keio University |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.jstage.jst.go.jp/article/transinf/E106.D/11/E106.D_2022EDP7230/_pdf |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A Multi-FPGA Implementation of FM-Index Based Genomic Pattern Search |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11269 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9939000010490417 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Algorithms and Data Compression |
| related_works | https://openalex.org/W2111241003, https://openalex.org/W1970433854, https://openalex.org/W4200391368, https://openalex.org/W2210979487, https://openalex.org/W2023867642, https://openalex.org/W2074043759, https://openalex.org/W1905852083, https://openalex.org/W575709247, https://openalex.org/W2389214306, https://openalex.org/W3042736233 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1587/transinf.2022edp7230 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2486202937 |
| best_oa_location.source.issn | 0916-8532, 1745-1361 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 0916-8532 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | IEICE Transactions on Information and Systems |
| best_oa_location.source.host_organization | https://openalex.org/P4320800604 |
| best_oa_location.source.host_organization_name | Institute of Electronics, Information and Communication Engineers |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4320800604 |
| best_oa_location.source.host_organization_lineage_names | Institute of Electronics, Information and Communication Engineers |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://www.jstage.jst.go.jp/article/transinf/E106.D/11/E106.D_2022EDP7230/_pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | IEICE Transactions on Information and Systems |
| best_oa_location.landing_page_url | https://doi.org/10.1587/transinf.2022edp7230 |
| primary_location.id | doi:10.1587/transinf.2022edp7230 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2486202937 |
| primary_location.source.issn | 0916-8532, 1745-1361 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 0916-8532 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | IEICE Transactions on Information and Systems |
| primary_location.source.host_organization | https://openalex.org/P4320800604 |
| primary_location.source.host_organization_name | Institute of Electronics, Information and Communication Engineers |
| primary_location.source.host_organization_lineage | https://openalex.org/P4320800604 |
| primary_location.source.host_organization_lineage_names | Institute of Electronics, Information and Communication Engineers |
| primary_location.license | |
| primary_location.pdf_url | https://www.jstage.jst.go.jp/article/transinf/E106.D/11/E106.D_2022EDP7230/_pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | IEICE Transactions on Information and Systems |
| primary_location.landing_page_url | https://doi.org/10.1587/transinf.2022edp7230 |
| publication_date | 2023-10-31 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W4256629673, https://openalex.org/W2883929540, https://openalex.org/W4200421000, https://openalex.org/W4210801615, https://openalex.org/W4254502766, https://openalex.org/W2158322625, https://openalex.org/W2161488606, https://openalex.org/W3013901498, https://openalex.org/W2475840367, https://openalex.org/W2945306514, https://openalex.org/W3194143084, https://openalex.org/W4281901797, https://openalex.org/W4200412744, https://openalex.org/W2904445802, https://openalex.org/W2942646047, https://openalex.org/W2025347051, https://openalex.org/W2087064593, https://openalex.org/W2074231493, https://openalex.org/W1566539040, https://openalex.org/W1992519395, https://openalex.org/W2599597882, https://openalex.org/W2029195137, https://openalex.org/W2158714788, https://openalex.org/W2037113830, https://openalex.org/W2142619120, https://openalex.org/W2608579164, https://openalex.org/W2095905530, https://openalex.org/W2146496959, https://openalex.org/W2170551349, https://openalex.org/W2097341408, https://openalex.org/W2103441770, https://openalex.org/W2015831381, https://openalex.org/W2107824361, https://openalex.org/W2011175593, https://openalex.org/W2319458729, https://openalex.org/W2330100020, https://openalex.org/W2990314330, https://openalex.org/W1999309919, https://openalex.org/W3109100377, https://openalex.org/W3131073178, https://openalex.org/W3217251616, https://openalex.org/W2913329744, https://openalex.org/W3214824440, https://openalex.org/W4280575288 |
| referenced_works_count | 44 |
| abstract_inverted_index.a | 19, 40, 135, 194, 211, 219 |
| abstract_inverted_index.10 | 200 |
| abstract_inverted_index.24 | 226 |
| abstract_inverted_index.30 | 230 |
| abstract_inverted_index.As | 84 |
| abstract_inverted_index.IO | 80 |
| abstract_inverted_index.In | 69 |
| abstract_inverted_index.To | 114 |
| abstract_inverted_index.We | 191, 208 |
| abstract_inverted_index.an | 85 |
| abstract_inverted_index.be | 167, 189 |
| abstract_inverted_index.by | 107 |
| abstract_inverted_index.in | 12, 169, 182, 203 |
| abstract_inverted_index.is | 31, 123, 150, 206 |
| abstract_inverted_index.of | 4, 51, 87 |
| abstract_inverted_index.to | 75, 134, 157 |
| abstract_inverted_index.we | 37, 92 |
| abstract_inverted_index.FiC | 45, 49, 76, 216, 227 |
| abstract_inverted_index.and | 28, 46, 59, 111, 184, 218, 225 |
| abstract_inverted_index.are | 62, 73, 131, 144 |
| abstract_inverted_index.can | 166, 188 |
| abstract_inverted_index.due | 156 |
| abstract_inverted_index.for | 77, 153, 171 |
| abstract_inverted_index.has | 101 |
| abstract_inverted_index.its | 108 |
| abstract_inverted_index.six | 222 |
| abstract_inverted_index.the | 116, 158, 174, 186, 234 |
| abstract_inverted_index.FPGA | 0, 6, 22, 42 |
| abstract_inverted_index.SoC- | 25 |
| abstract_inverted_index.acid | 128 |
| abstract_inverted_index.also | 192 |
| abstract_inverted_index.been | 9 |
| abstract_inverted_index.data | 81, 195, 204 |
| abstract_inverted_index.done | 168 |
| abstract_inverted_index.four | 215 |
| abstract_inverted_index.from | 161 |
| abstract_inverted_index.have | 8 |
| abstract_inverted_index.here | 91 |
| abstract_inverted_index.high | 79 |
| abstract_inverted_index.read | 120 |
| abstract_inverted_index.size | 205 |
| abstract_inverted_index.such | 39 |
| abstract_inverted_index.task | 155 |
| abstract_inverted_index.than | 233 |
| abstract_inverted_index.that | 2, 210 |
| abstract_inverted_index.this | 154 |
| abstract_inverted_index.used | 124 |
| abstract_inverted_index.with | 18, 24, 33, 44, 65, 221 |
| abstract_inverted_index.(DNA) | 129 |
| abstract_inverted_index.(NGS) | 99 |
| abstract_inverted_index.FPGAs | 27, 30, 58 |
| abstract_inverted_index.Here, | 36 |
| abstract_inverted_index.Since | 164 |
| abstract_inverted_index.about | 199 |
| abstract_inverted_index.based | 147, 236 |
| abstract_inverted_index.board | 213 |
| abstract_inverted_index.data, | 118, 173, 180 |
| abstract_inverted_index.found | 209 |
| abstract_inverted_index.known | 136, 162 |
| abstract_inverted_index.scale | 56 |
| abstract_inverted_index.short | 119, 126 |
| abstract_inverted_index.style | 26 |
| abstract_inverted_index.times | 201, 231 |
| abstract_inverted_index.where | 125, 198 |
| abstract_inverted_index.which | 61, 178 |
| abstract_inverted_index.DRAMs, | 60 |
| abstract_inverted_index.boards | 7, 72, 224, 228 |
| abstract_inverted_index.faster | 232 |
| abstract_inverted_index.links. | 68 |
| abstract_inverted_index.mapped | 132 |
| abstract_inverted_index.method | 197 |
| abstract_inverted_index.middle | 55 |
| abstract_inverted_index.recent | 13 |
| abstract_inverted_index.search | 149 |
| abstract_inverted_index.serial | 67 |
| abstract_inverted_index.system | 104, 220 |
| abstract_inverted_index.times. | 14 |
| abstract_inverted_index.M-KUBOS | 47, 71, 212, 223 |
| abstract_inverted_index.analyze | 115 |
| abstract_inverted_index.boards, | 53, 217 |
| abstract_inverted_index.cluster | 23, 43 |
| abstract_inverted_index.consist | 3 |
| abstract_inverted_index.coupled | 64 |
| abstract_inverted_index.example | 86 |
| abstract_inverted_index.fastest | 159 |
| abstract_inverted_index.gaining | 10 |
| abstract_inverted_index.gathers | 185 |
| abstract_inverted_index.genomic | 94, 117 |
| abstract_inverted_index.mapping | 121, 160 |
| abstract_inverted_index.massive | 112 |
| abstract_inverted_index.matches | 214 |
| abstract_inverted_index.pattern | 95, 141, 148 |
| abstract_inverted_index.propose | 38 |
| abstract_inverted_index.related | 105 |
| abstract_inverted_index.results | 187 |
| abstract_inverted_index.search. | 96 |
| abstract_inverted_index.several | 140 |
| abstract_inverted_index.tightly | 63 |
| abstract_inverted_index.Although | 139 |
| abstract_inverted_index.FM-index | 146 |
| abstract_inverted_index.Xilinx's | 57 |
| abstract_inverted_index.achieved | 229 |
| abstract_inverted_index.applied. | 190 |
| abstract_inverted_index.benefit. | 35 |
| abstract_inverted_index.cluster. | 48 |
| abstract_inverted_index.clusters | 1 |
| abstract_inverted_index.consists | 50 |
| abstract_inverted_index.ensuring | 78 |
| abstract_inverted_index.executes | 181 |
| abstract_inverted_index.indices. | 163 |
| abstract_inverted_index.interest | 11 |
| abstract_inverted_index.matching | 142, 165 |
| abstract_inverted_index.mounting | 54 |
| abstract_inverted_index.multiple | 5, 52 |
| abstract_inverted_index.parallel | 16, 89, 170, 176, 183 |
| abstract_inverted_index.relative | 133 |
| abstract_inverted_index.research | 106 |
| abstract_inverted_index.scalable | 110 |
| abstract_inverted_index.software | 235 |
| abstract_inverted_index.suitable | 152 |
| abstract_inverted_index.transfer | 82 |
| abstract_inverted_index.Massively | 15 |
| abstract_inverted_index.achieved. | 207 |
| abstract_inverted_index.addition, | 70 |
| abstract_inverted_index.computing | 177 |
| abstract_inverted_index.connected | 74 |
| abstract_inverted_index.different | 172 |
| abstract_inverted_index.implement | 93, 193 |
| abstract_inverted_index.massively | 88, 175 |
| abstract_inverted_index.mid-scale | 29 |
| abstract_inverted_index.perfectly | 151 |
| abstract_inverted_index.promising | 32 |
| abstract_inverted_index.reduction | 202 |
| abstract_inverted_index.reference | 137 |
| abstract_inverted_index.sequence. | 138 |
| abstract_inverted_index.sequences | 130 |
| abstract_inverted_index.technique | 122 |
| abstract_inverted_index.available, | 145 |
| abstract_inverted_index.bandwidth. | 83 |
| abstract_inverted_index.biological | 103 |
| abstract_inverted_index.high-speed | 66 |
| abstract_inverted_index.processing | 17 |
| abstract_inverted_index.sequencing | 98 |
| abstract_inverted_index.techniques | 143 |
| abstract_inverted_index.technology | 100 |
| abstract_inverted_index.compression | 196 |
| abstract_inverted_index.distributes | 179 |
| abstract_inverted_index.high-speed, | 109 |
| abstract_inverted_index.processing, | 90 |
| abstract_inverted_index.stand-alone | 20 |
| abstract_inverted_index.throughput. | 113 |
| abstract_inverted_index.heterogeneous | 21, 41 |
| abstract_inverted_index.revolutionized | 102 |
| abstract_inverted_index.Next-generation | 97 |
| abstract_inverted_index.implementation. | 237 |
| abstract_inverted_index.Deoxyribonucleic | 127 |
| abstract_inverted_index.cost-performance | 34 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.4399999976158142 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.16475266 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |