Big data and HPC :: ecosystem and convergence /
Gespeichert in:
| Körperschaft: | |
|---|---|
| Weitere Verfasser: | , , , , |
| Format: | Elektronisch Tagungsbericht E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam :
IOS Press,
2018.
|
| Schriftenreihe: | Advances in parallel computing ;
v. 33. |
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Beschreibung: | 1 online resource |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781614998822 1614998825 1614998817 9781614998815 |
Internformat
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-4-EBA-on1056246468 | ||
| 003 | OCoLC | ||
| 005 | 20241004212047.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 181010s2018 ne ob 101 0 eng d | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d N$T |d OCLCO |d OCLCF |d VT2 |d OCLCO |d OCLCQ |d OCLCO |d OCLCQ |d OCLCO | ||
| 019 | |a 1249247743 | ||
| 020 | |a 9781614998822 |q (electronic bk.) | ||
| 020 | |a 1614998825 |q (electronic bk.) | ||
| 020 | |a 1614998817 | ||
| 020 | |a 9781614998815 | ||
| 020 | |z 9781614998815 | ||
| 035 | |a (OCoLC)1056246468 |z (OCoLC)1249247743 | ||
| 050 | 4 | |a QA76.9.B45 | |
| 072 | 7 | |a COM |x 000000 |2 bisacsh | |
| 082 | 7 | |a 005.7 |2 23 | |
| 049 | |a MAIN | ||
| 111 | 2 | |a TopHPC2017 |d (2017 : |c Tehran, Iran) | |
| 245 | 1 | 0 | |a Big data and HPC : |b ecosystem and convergence / |c edited by Lucio Grandinetti, Seyedeh Leili Mirtaheri, Reza Shahbazian, Thomas Sterling and Vladimir Voevodin. |
| 264 | 1 | |a Amsterdam : |b IOS Press, |c 2018. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Advances in parallel computing ; |v Volume 33 | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Vendor-supplied metadata. | |
| 505 | 0 | |a Intro; Title Page; Preface; Contents; State of the Art and Future Scenarios; Runtime System Architecture for Dynamic Adaptive Execution; High Performance Computing and Big Data Convergence: A Technical Review; Challenges in HPC Evaluation: Towards a Methodology for Scientific Application Requirements; Scaling Big Data Neuroscience: From Interactive Analytics to HPC Platforms; Big Data Challenges; CBIR on Big Data by Use of Deep Learning; APPGRIT: A Parallel Pipeline for Graph Representation in Text Mining; Introduction and Patent Analysis of Signal Processing for Big Data. | |
| 505 | 8 | |a Analysis and Design of IoT Based Physical Location Monitoring SystemAutonomous Task Scheduling for Fast Big Data Processing; Adaptive Resource Management for Distributed Data Analytics; HPC Challenges; High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication; Final Parallel and Distributed Computing Assignment for Master Students: Description of the Properties and Parallel Structure of Algorithms; Parallel Motion Estimation Based on GPU and Combined GPU-CPU; GPU-Based Iterative Hill Climbing Algorithm to Solve Symmetric Traveling Salesman Problem. | |
| 505 | 8 | |a Reliability-Aware Voltage Scaling of Multicore Processors in Dark Silicon EraTime Collection: An Abstraction for Shared Objects in Parallel Programming; Parallel and Distributed Analysis of Microarray Data; Extracting Distributed Architecture from Source Code Using an Evolutionary Approach; An Architectural Approach to Grid Provisioning; Subject Index; Author Index. | |
| 650 | 0 | |a Big data |v Congresses. | |
| 650 | 0 | |a High performance computing |v Congresses. | |
| 650 | 6 | |a Données volumineuses |v Congrès. | |
| 650 | 6 | |a Superinformatique |v Congrès. | |
| 650 | 7 | |a COMPUTER SCIENCE |x General. |2 bisacsh | |
| 650 | 7 | |a Big data |2 fast | |
| 650 | 7 | |a High performance computing |2 fast | |
| 655 | 7 | |a Conference papers and proceedings |2 fast | |
| 700 | 1 | |a Grandinetti, Lucio, |d 1941- |e editor. |0 http://id.loc.gov/authorities/names/n92003094 | |
| 700 | 1 | |a Mirtaheri, Seyedeh Leili, |e editor. | |
| 700 | 1 | |a Shahbazian, Reza, |e editor. | |
| 700 | 1 | |a Sterling, Thomas, |e editor. | |
| 700 | 1 | |a Voevodin, Vladimir, |e editor. | |
| 776 | 0 | 8 | |i Print version: |a TopHPC2017 (2017 : Tehran, Iran). |t Big data and HPC. |d Amsterdam : IOS Press, 2018 |w (DLC) 2018952148 |
| 830 | 0 | |a Advances in parallel computing ; |v v. 33. |0 http://id.loc.gov/authorities/names/n88500108 | |
| 966 | 4 | 0 | |l DE-862 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1909993 |3 Volltext |
| 966 | 4 | 0 | |l DE-863 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1909993 |3 Volltext |
| 938 | |a EBSCOhost |b EBSC |n 1909993 | ||
| 994 | |a 92 |b GEBAY | ||
| 912 | |a ZDB-4-EBA | ||
| 049 | |a DE-862 | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-on1056246468 |
|---|---|
| _version_ | 1826942271147212800 |
| adam_text | |
| any_adam_object | |
| author2 | Grandinetti, Lucio, 1941- Mirtaheri, Seyedeh Leili Shahbazian, Reza Sterling, Thomas Voevodin, Vladimir |
| author2_role | edt edt edt edt edt |
| author2_variant | l g lg s l m sl slm r s rs t s ts v v vv |
| author_GND | http://id.loc.gov/authorities/names/n92003094 |
| author_corporate | TopHPC2017 Tehran, Iran |
| author_corporate_role | |
| author_facet | Grandinetti, Lucio, 1941- Mirtaheri, Seyedeh Leili Shahbazian, Reza Sterling, Thomas Voevodin, Vladimir TopHPC2017 Tehran, Iran |
| author_sort | TopHPC2017 Tehran, Iran |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76.9.B45 |
| callnumber-search | QA76.9.B45 |
| callnumber-sort | QA 276.9 B45 |
| callnumber-subject | QA - Mathematics |
| collection | ZDB-4-EBA |
| contents | Intro; Title Page; Preface; Contents; State of the Art and Future Scenarios; Runtime System Architecture for Dynamic Adaptive Execution; High Performance Computing and Big Data Convergence: A Technical Review; Challenges in HPC Evaluation: Towards a Methodology for Scientific Application Requirements; Scaling Big Data Neuroscience: From Interactive Analytics to HPC Platforms; Big Data Challenges; CBIR on Big Data by Use of Deep Learning; APPGRIT: A Parallel Pipeline for Graph Representation in Text Mining; Introduction and Patent Analysis of Signal Processing for Big Data. Analysis and Design of IoT Based Physical Location Monitoring SystemAutonomous Task Scheduling for Fast Big Data Processing; Adaptive Resource Management for Distributed Data Analytics; HPC Challenges; High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication; Final Parallel and Distributed Computing Assignment for Master Students: Description of the Properties and Parallel Structure of Algorithms; Parallel Motion Estimation Based on GPU and Combined GPU-CPU; GPU-Based Iterative Hill Climbing Algorithm to Solve Symmetric Traveling Salesman Problem. Reliability-Aware Voltage Scaling of Multicore Processors in Dark Silicon EraTime Collection: An Abstraction for Shared Objects in Parallel Programming; Parallel and Distributed Analysis of Microarray Data; Extracting Distributed Architecture from Source Code Using an Evolutionary Approach; An Architectural Approach to Grid Provisioning; Subject Index; Author Index. |
| ctrlnum | (OCoLC)1056246468 |
| dewey-full | 005.7 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.7 |
| dewey-search | 005.7 |
| dewey-sort | 15.7 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic Conference Proceeding eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03919cam a2200613 i 4500</leader><controlfield tag="001">ZDB-4-EBA-on1056246468</controlfield><controlfield tag="003">OCoLC</controlfield><controlfield tag="005">20241004212047.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr cnu|||unuuu</controlfield><controlfield tag="008">181010s2018 ne ob 101 0 eng d</controlfield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">N$T</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">N$T</subfield><subfield code="d">N$T</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCF</subfield><subfield code="d">VT2</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield></datafield><datafield tag="019" ind1=" " ind2=" "><subfield code="a">1249247743</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781614998822</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1614998825</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1614998817</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781614998815</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781614998815</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1056246468</subfield><subfield code="z">(OCoLC)1249247743</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA76.9.B45</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM</subfield><subfield code="x">000000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">005.7</subfield><subfield code="2">23</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">MAIN</subfield></datafield><datafield tag="111" ind1="2" ind2=" "><subfield code="a">TopHPC2017</subfield><subfield code="d">(2017 :</subfield><subfield code="c">Tehran, Iran)</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Big data and HPC :</subfield><subfield code="b">ecosystem and convergence /</subfield><subfield code="c">edited by Lucio Grandinetti, Seyedeh Leili Mirtaheri, Reza Shahbazian, Thomas Sterling and Vladimir Voevodin.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Amsterdam :</subfield><subfield code="b">IOS Press,</subfield><subfield code="c">2018.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Advances in parallel computing ;</subfield><subfield code="v">Volume 33</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Vendor-supplied metadata.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Intro; Title Page; Preface; Contents; State of the Art and Future Scenarios; Runtime System Architecture for Dynamic Adaptive Execution; High Performance Computing and Big Data Convergence: A Technical Review; Challenges in HPC Evaluation: Towards a Methodology for Scientific Application Requirements; Scaling Big Data Neuroscience: From Interactive Analytics to HPC Platforms; Big Data Challenges; CBIR on Big Data by Use of Deep Learning; APPGRIT: A Parallel Pipeline for Graph Representation in Text Mining; Introduction and Patent Analysis of Signal Processing for Big Data.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Analysis and Design of IoT Based Physical Location Monitoring SystemAutonomous Task Scheduling for Fast Big Data Processing; Adaptive Resource Management for Distributed Data Analytics; HPC Challenges; High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication; Final Parallel and Distributed Computing Assignment for Master Students: Description of the Properties and Parallel Structure of Algorithms; Parallel Motion Estimation Based on GPU and Combined GPU-CPU; GPU-Based Iterative Hill Climbing Algorithm to Solve Symmetric Traveling Salesman Problem.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Reliability-Aware Voltage Scaling of Multicore Processors in Dark Silicon EraTime Collection: An Abstraction for Shared Objects in Parallel Programming; Parallel and Distributed Analysis of Microarray Data; Extracting Distributed Architecture from Source Code Using an Evolutionary Approach; An Architectural Approach to Grid Provisioning; Subject Index; Author Index.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Big data</subfield><subfield code="v">Congresses.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">High performance computing</subfield><subfield code="v">Congresses.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Données volumineuses</subfield><subfield code="v">Congrès.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Superinformatique</subfield><subfield code="v">Congrès.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTER SCIENCE</subfield><subfield code="x">General.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Big data</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">High performance computing</subfield><subfield code="2">fast</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="a">Conference papers and proceedings</subfield><subfield code="2">fast</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Grandinetti, Lucio,</subfield><subfield code="d">1941-</subfield><subfield code="e">editor.</subfield><subfield code="0">http://id.loc.gov/authorities/names/n92003094</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mirtaheri, Seyedeh Leili,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shahbazian, Reza,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sterling, Thomas,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Voevodin, Vladimir,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">TopHPC2017 (2017 : Tehran, Iran).</subfield><subfield code="t">Big data and HPC.</subfield><subfield code="d">Amsterdam : IOS Press, 2018</subfield><subfield code="w">(DLC) 2018952148</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Advances in parallel computing ;</subfield><subfield code="v">v. 33.</subfield><subfield code="0">http://id.loc.gov/authorities/names/n88500108</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-862</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1909993</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-863</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1909993</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">1909993</subfield></datafield><datafield tag="994" ind1=" " ind2=" "><subfield code="a">92</subfield><subfield code="b">GEBAY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-862</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| genre | Conference papers and proceedings fast |
| genre_facet | Conference papers and proceedings |
| id | ZDB-4-EBA-on1056246468 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:25:21Z |
| institution | BVB |
| isbn | 9781614998822 1614998825 1614998817 9781614998815 |
| language | English |
| oclc_num | 1056246468 |
| open_access_boolean | |
| owner | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 1 online resource |
| psigel | ZDB-4-EBA FWS_PDA_EBA ZDB-4-EBA |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | IOS Press, |
| record_format | marc |
| series | Advances in parallel computing ; |
| series2 | Advances in parallel computing ; |
| spelling | TopHPC2017 (2017 : Tehran, Iran) Big data and HPC : ecosystem and convergence / edited by Lucio Grandinetti, Seyedeh Leili Mirtaheri, Reza Shahbazian, Thomas Sterling and Vladimir Voevodin. Amsterdam : IOS Press, 2018. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Advances in parallel computing ; Volume 33 Includes bibliographical references and index. Vendor-supplied metadata. Intro; Title Page; Preface; Contents; State of the Art and Future Scenarios; Runtime System Architecture for Dynamic Adaptive Execution; High Performance Computing and Big Data Convergence: A Technical Review; Challenges in HPC Evaluation: Towards a Methodology for Scientific Application Requirements; Scaling Big Data Neuroscience: From Interactive Analytics to HPC Platforms; Big Data Challenges; CBIR on Big Data by Use of Deep Learning; APPGRIT: A Parallel Pipeline for Graph Representation in Text Mining; Introduction and Patent Analysis of Signal Processing for Big Data. Analysis and Design of IoT Based Physical Location Monitoring SystemAutonomous Task Scheduling for Fast Big Data Processing; Adaptive Resource Management for Distributed Data Analytics; HPC Challenges; High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication; Final Parallel and Distributed Computing Assignment for Master Students: Description of the Properties and Parallel Structure of Algorithms; Parallel Motion Estimation Based on GPU and Combined GPU-CPU; GPU-Based Iterative Hill Climbing Algorithm to Solve Symmetric Traveling Salesman Problem. Reliability-Aware Voltage Scaling of Multicore Processors in Dark Silicon EraTime Collection: An Abstraction for Shared Objects in Parallel Programming; Parallel and Distributed Analysis of Microarray Data; Extracting Distributed Architecture from Source Code Using an Evolutionary Approach; An Architectural Approach to Grid Provisioning; Subject Index; Author Index. Big data Congresses. High performance computing Congresses. Données volumineuses Congrès. Superinformatique Congrès. COMPUTER SCIENCE General. bisacsh Big data fast High performance computing fast Conference papers and proceedings fast Grandinetti, Lucio, 1941- editor. http://id.loc.gov/authorities/names/n92003094 Mirtaheri, Seyedeh Leili, editor. Shahbazian, Reza, editor. Sterling, Thomas, editor. Voevodin, Vladimir, editor. Print version: TopHPC2017 (2017 : Tehran, Iran). Big data and HPC. Amsterdam : IOS Press, 2018 (DLC) 2018952148 Advances in parallel computing ; v. 33. http://id.loc.gov/authorities/names/n88500108 |
| spellingShingle | Big data and HPC : ecosystem and convergence / Advances in parallel computing ; Intro; Title Page; Preface; Contents; State of the Art and Future Scenarios; Runtime System Architecture for Dynamic Adaptive Execution; High Performance Computing and Big Data Convergence: A Technical Review; Challenges in HPC Evaluation: Towards a Methodology for Scientific Application Requirements; Scaling Big Data Neuroscience: From Interactive Analytics to HPC Platforms; Big Data Challenges; CBIR on Big Data by Use of Deep Learning; APPGRIT: A Parallel Pipeline for Graph Representation in Text Mining; Introduction and Patent Analysis of Signal Processing for Big Data. Analysis and Design of IoT Based Physical Location Monitoring SystemAutonomous Task Scheduling for Fast Big Data Processing; Adaptive Resource Management for Distributed Data Analytics; HPC Challenges; High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication; Final Parallel and Distributed Computing Assignment for Master Students: Description of the Properties and Parallel Structure of Algorithms; Parallel Motion Estimation Based on GPU and Combined GPU-CPU; GPU-Based Iterative Hill Climbing Algorithm to Solve Symmetric Traveling Salesman Problem. Reliability-Aware Voltage Scaling of Multicore Processors in Dark Silicon EraTime Collection: An Abstraction for Shared Objects in Parallel Programming; Parallel and Distributed Analysis of Microarray Data; Extracting Distributed Architecture from Source Code Using an Evolutionary Approach; An Architectural Approach to Grid Provisioning; Subject Index; Author Index. Big data Congresses. High performance computing Congresses. Données volumineuses Congrès. Superinformatique Congrès. COMPUTER SCIENCE General. bisacsh Big data fast High performance computing fast |
| title | Big data and HPC : ecosystem and convergence / |
| title_auth | Big data and HPC : ecosystem and convergence / |
| title_exact_search | Big data and HPC : ecosystem and convergence / |
| title_full | Big data and HPC : ecosystem and convergence / edited by Lucio Grandinetti, Seyedeh Leili Mirtaheri, Reza Shahbazian, Thomas Sterling and Vladimir Voevodin. |
| title_fullStr | Big data and HPC : ecosystem and convergence / edited by Lucio Grandinetti, Seyedeh Leili Mirtaheri, Reza Shahbazian, Thomas Sterling and Vladimir Voevodin. |
| title_full_unstemmed | Big data and HPC : ecosystem and convergence / edited by Lucio Grandinetti, Seyedeh Leili Mirtaheri, Reza Shahbazian, Thomas Sterling and Vladimir Voevodin. |
| title_short | Big data and HPC : |
| title_sort | big data and hpc ecosystem and convergence |
| title_sub | ecosystem and convergence / |
| topic | Big data Congresses. High performance computing Congresses. Données volumineuses Congrès. Superinformatique Congrès. COMPUTER SCIENCE General. bisacsh Big data fast High performance computing fast |
| topic_facet | Big data Congresses. High performance computing Congresses. Données volumineuses Congrès. Superinformatique Congrès. COMPUTER SCIENCE General. Big data High performance computing Conference papers and proceedings |
| work_keys_str_mv | AT tophpc2017tehraniran bigdataandhpcecosystemandconvergence AT grandinettilucio bigdataandhpcecosystemandconvergence AT mirtaheriseyedehleili bigdataandhpcecosystemandconvergence AT shahbazianreza bigdataandhpcecosystemandconvergence AT sterlingthomas bigdataandhpcecosystemandconvergence AT voevodinvladimir bigdataandhpcecosystemandconvergence |