Gespeichert in:
| Weitere beteiligte Personen: | |
|---|---|
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge, Mass.
MIT Press
©2004
|
| Schriftenreihe: | Scientific and engineering computation
|
| Links: | https://doi.org/10.7551/mitpress/6038.001.0001?locatt=mode:legacy |
| Zusammenfassung: | As we enter the "decade of data," the disparity between the vast amount of data storage capacity (measurable in terabytes and petabytes) and the bandwidth available for accessing it has created an input/output bottleneck that is proving to be a major constraint on the effective use of scientific data for research. Scalable Input/Output is a summary of the major research results of the Scalable I/O Initiative, launched by Paul Messina, then Director of the Center for Advanced Computing Research at the California Institute of Technology, to explore software and algorithmic solutions to the I/O imbalance. The contributors explore techniques for I/O optimization, including: I/O characterization to understand application and system I/O patterns; system checkpointing strategies; collective I/O and parallel database support for scientific applications; parallel I/O libraries and strategies for file striping, prefetching, and write behind; compilation strategies for out-of-core data access; scheduling and shared virtual memory alternatives; network support for low-latency data transfer; and parallel I/O application programming interfaces. |
| Umfang: | 1 Online-Ressource (xv, 274 Seiten) Illustrationen |
| ISBN: | 0262287862 1417562323 9780262287869 9781417562329 |
Internformat
MARC
| LEADER | 00000cam a22000004a 4500 | ||
|---|---|---|---|
| 001 | ZDB-260-MPOB-6038 | ||
| 003 | MaCbMITP | ||
| 005 | 20190503073327.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 041209s2004 maua ob 000 0 eng d | ||
| 020 | |a 0262287862 | ||
| 020 | |a 1417562323 | ||
| 020 | |a 9780262287869 | ||
| 020 | |a 9781417562329 | ||
| 245 | 0 | 0 | |a Scalable input/output |b achieving system balance |c edited by Daniel A. Reed |
| 264 | 1 | |a Cambridge, Mass. |b MIT Press |c ©2004 | |
| 300 | |a 1 Online-Ressource (xv, 274 Seiten) |b Illustrationen | ||
| 336 | |b txt | ||
| 337 | |b c | ||
| 338 | |b cr | ||
| 490 | 1 | |a Scientific and engineering computation | |
| 520 | |a As we enter the "decade of data," the disparity between the vast amount of data storage capacity (measurable in terabytes and petabytes) and the bandwidth available for accessing it has created an input/output bottleneck that is proving to be a major constraint on the effective use of scientific data for research. Scalable Input/Output is a summary of the major research results of the Scalable I/O Initiative, launched by Paul Messina, then Director of the Center for Advanced Computing Research at the California Institute of Technology, to explore software and algorithmic solutions to the I/O imbalance. The contributors explore techniques for I/O optimization, including: I/O characterization to understand application and system I/O patterns; system checkpointing strategies; collective I/O and parallel database support for scientific applications; parallel I/O libraries and strategies for file striping, prefetching, and write behind; compilation strategies for out-of-core data access; scheduling and shared virtual memory alternatives; network support for low-latency data transfer; and parallel I/O application programming interfaces. | ||
| 700 | 1 | |a Reed, Daniel A. | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 0262182335 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 0262681420 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9780262182331 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9780262681421 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-260-MPOB |q TUM_PDA_MPOB |3 MIT Press |u https://doi.org/10.7551/mitpress/6038.001.0001?locatt=mode:legacy |3 Volltext |
| 912 | |a ZDB-260-MPOB | ||
| 912 | |a ZDB-260-MPOB | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-260-MPOB-6038 |
|---|---|
| _version_ | 1821493839865577475 |
| adam_text | |
| any_adam_object | |
| author2 | Reed, Daniel A. |
| author2_role | |
| author2_variant | d a r da dar |
| author_facet | Reed, Daniel A. |
| author_sort | Reed, Daniel A. |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-260-MPOB |
| format | eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02213cam a22003254a 4500</leader><controlfield tag="001">ZDB-260-MPOB-6038</controlfield><controlfield tag="003">MaCbMITP</controlfield><controlfield tag="005">20190503073327.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr cnu|||unuuu</controlfield><controlfield tag="008">041209s2004 maua ob 000 0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0262287862</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1417562323</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780262287869</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781417562329</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Scalable input/output</subfield><subfield code="b">achieving system balance</subfield><subfield code="c">edited by Daniel A. Reed</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge, Mass.</subfield><subfield code="b">MIT Press</subfield><subfield code="c">©2004</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xv, 274 Seiten)</subfield><subfield code="b">Illustrationen</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Scientific and engineering computation</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">As we enter the "decade of data," the disparity between the vast amount of data storage capacity (measurable in terabytes and petabytes) and the bandwidth available for accessing it has created an input/output bottleneck that is proving to be a major constraint on the effective use of scientific data for research. Scalable Input/Output is a summary of the major research results of the Scalable I/O Initiative, launched by Paul Messina, then Director of the Center for Advanced Computing Research at the California Institute of Technology, to explore software and algorithmic solutions to the I/O imbalance. The contributors explore techniques for I/O optimization, including: I/O characterization to understand application and system I/O patterns; system checkpointing strategies; collective I/O and parallel database support for scientific applications; parallel I/O libraries and strategies for file striping, prefetching, and write behind; compilation strategies for out-of-core data access; scheduling and shared virtual memory alternatives; network support for low-latency data transfer; and parallel I/O application programming interfaces.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Reed, Daniel A.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">0262182335</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">0262681420</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9780262182331</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9780262681421</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-260-MPOB</subfield><subfield code="q">TUM_PDA_MPOB</subfield><subfield code="3">MIT Press</subfield><subfield code="u">https://doi.org/10.7551/mitpress/6038.001.0001?locatt=mode:legacy</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-260-MPOB</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-260-MPOB</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-260-MPOB-6038 |
| illustrated | Illustrated |
| indexdate | 2025-01-17T11:04:52Z |
| institution | BVB |
| isbn | 0262287862 1417562323 9780262287869 9781417562329 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (xv, 274 Seiten) Illustrationen |
| psigel | ZDB-260-MPOB TUM_PDA_MPOB ZDB-260-MPOB |
| publishDate | 2004 |
| publishDateSearch | 2004 |
| publishDateSort | 2004 |
| publisher | MIT Press |
| record_format | marc |
| series2 | Scientific and engineering computation |
| spelling | Scalable input/output achieving system balance edited by Daniel A. Reed Cambridge, Mass. MIT Press ©2004 1 Online-Ressource (xv, 274 Seiten) Illustrationen txt c cr Scientific and engineering computation As we enter the "decade of data," the disparity between the vast amount of data storage capacity (measurable in terabytes and petabytes) and the bandwidth available for accessing it has created an input/output bottleneck that is proving to be a major constraint on the effective use of scientific data for research. Scalable Input/Output is a summary of the major research results of the Scalable I/O Initiative, launched by Paul Messina, then Director of the Center for Advanced Computing Research at the California Institute of Technology, to explore software and algorithmic solutions to the I/O imbalance. The contributors explore techniques for I/O optimization, including: I/O characterization to understand application and system I/O patterns; system checkpointing strategies; collective I/O and parallel database support for scientific applications; parallel I/O libraries and strategies for file striping, prefetching, and write behind; compilation strategies for out-of-core data access; scheduling and shared virtual memory alternatives; network support for low-latency data transfer; and parallel I/O application programming interfaces. Reed, Daniel A. Erscheint auch als Druck-Ausgabe 0262182335 Erscheint auch als Druck-Ausgabe 0262681420 Erscheint auch als Druck-Ausgabe 9780262182331 Erscheint auch als Druck-Ausgabe 9780262681421 |
| spellingShingle | Scalable input/output achieving system balance |
| title | Scalable input/output achieving system balance |
| title_auth | Scalable input/output achieving system balance |
| title_exact_search | Scalable input/output achieving system balance |
| title_full | Scalable input/output achieving system balance edited by Daniel A. Reed |
| title_fullStr | Scalable input/output achieving system balance edited by Daniel A. Reed |
| title_full_unstemmed | Scalable input/output achieving system balance edited by Daniel A. Reed |
| title_short | Scalable input/output |
| title_sort | scalable input output achieving system balance |
| title_sub | achieving system balance |
| work_keys_str_mv | AT reeddaniela scalableinputoutputachievingsystembalance |