Ontology type: schema:ScholarlyArticle
2016-11
AUTHORSG. S. Smirnov, V. V. Stegailov
ABSTRACTHigh performance computing hardware is developed faster than the algorithms for fundamental mathematical models such as classical molecular dynamics are adapted. A wide variety of choice makes it necessary to determine clear criteria based on the computational efficiency of a specific algorithm on a particular hardware. The LINPACK benchmark can no longer serve this purpose. In this paper, we analyze the solution time–peak performance metric based on practical considerations. In this metric, we compare different hardware (both current and obsolete) based on the example of the LAMMPS benchmark, which is widely used for atomistic simulations. It is shown that the considered metric can be used for unambiguous comparison of different combinations of CPUs, accelerators, and interconnection. More... »
PAGES734-743
http://scigraph.springernature.com/pub.10.1134/s2070048216060156
DOIhttp://dx.doi.org/10.1134/s2070048216060156
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1020406720
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0102",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Applied Mathematics",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Mathematical Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Moscow Institute of Physics and Technology",
"id": "https://www.grid.ac/institutes/grid.18763.3b",
"name": [
"Joint Institute for High Temperatures, Russian Academy of Sciences, 125412, Moscow, Russia",
"Moscow Institute of Physics and Technology, 117303, Moscow, Russia"
],
"type": "Organization"
},
"familyName": "Smirnov",
"givenName": "G. S.",
"id": "sg:person.01176201755.87",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176201755.87"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Moscow Institute of Physics and Technology",
"id": "https://www.grid.ac/institutes/grid.18763.3b",
"name": [
"Joint Institute for High Temperatures, Russian Academy of Sciences, 125412, Moscow, Russia",
"Moscow Institute of Physics and Technology, 117303, Moscow, Russia"
],
"type": "Organization"
},
"familyName": "Stegailov",
"givenName": "V. V.",
"id": "sg:person.013675326625.36",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013675326625.36"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/j.cpc.2013.08.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006814677"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1134/s2070048215050105",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008725907",
"https://doi.org/10.1134/s2070048215050105"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cpc.2015.01.009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029073500"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpdc.2014.07.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032552099"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpdc.2014.07.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032552099"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpdc.2014.07.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032552099"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpdc.2014.07.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032552099"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpdc.2014.07.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032552099"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1006/jcph.1995.1039",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034822855"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cpc.2010.12.026",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045660018"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1098/rsta.2013.0387",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045842136"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cpc.2010.12.021",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048709185"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cpc.2011.10.012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049972720"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/ipdps.2013.83",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093269047"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/sc.2014.9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093875572"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/ipdps.2013.44",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094888106"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/sc.2012.87",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095544820"
],
"type": "CreativeWork"
}
],
"datePublished": "2016-11",
"datePublishedReg": "2016-11-01",
"description": "High performance computing hardware is developed faster than the algorithms for fundamental mathematical models such as classical molecular dynamics are adapted. A wide variety of choice makes it necessary to determine clear criteria based on the computational efficiency of a specific algorithm on a particular hardware. The LINPACK benchmark can no longer serve this purpose. In this paper, we analyze the solution time\u2013peak performance metric based on practical considerations. In this metric, we compare different hardware (both current and obsolete) based on the example of the LAMMPS benchmark, which is widely used for atomistic simulations. It is shown that the considered metric can be used for unambiguous comparison of different combinations of CPUs, accelerators, and interconnection.",
"genre": "research_article",
"id": "sg:pub.10.1134/s2070048216060156",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1136488",
"issn": [
"2070-0482",
"2070-0490"
],
"name": "Mathematical Models and Computer Simulations",
"type": "Periodical"
},
{
"issueNumber": "6",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "8"
}
],
"name": "Efficiency of classical molecular dynamics algorithms on supercomputers",
"pagination": "734-743",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"613b838e02d6215f2c4659b863ee5cc414b61b263ad719276d0c4fc4aa866f3b"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1134/s2070048216060156"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1020406720"
]
}
],
"sameAs": [
"https://doi.org/10.1134/s2070048216060156",
"https://app.dimensions.ai/details/publication/pub.1020406720"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T13:12",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000367_0000000367/records_88257_00000000.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1134%2FS2070048216060156"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1134/s2070048216060156'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/s2070048216060156'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s2070048216060156'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s2070048216060156'
This table displays all metadata directly associated to this object as RDF triples.
109 TRIPLES
21 PREDICATES
40 URIs
19 LITERALS
7 BLANK NODES