Result for 0F20AD8DF05F9FD3A063DE785C4D119E2C0D7DDE

Query result

Key Value
FileName./usr/include/gemmlowp/public/map.h
FileSize4385
MD5C197B9CD3B3BD9BDA5F7C519C26FB5D0
SHA-10F20AD8DF05F9FD3A063DE785C4D119E2C0D7DDE
SHA-256A100766AA15F3449832E1CA51B6449708CED3E052EFD8DC229740BF4EC428460
SSDEEP96:bAx4DsdNHFmZBgvOYd5Ne61x3BlAQ5z/l9gaJgplgmzFeMGyavals63:bAxHHHjOY/Nb9BlAQ3XipeZHyqc/3
TLSHT1CF919442B8A316A4139137D5D3AA0981B111E727B385EBC8B8DD40306F4D179F3BA6F7
hashlookup:parent-total13
hashlookup:trust100

Network graph view

Parents (Total: 13)

The searched file hash is included in 13 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize518688
MD522AE3FB0E5045FAE2C23B9DDD689FB63
PackageDescriptionsmall self-contained low-precision GEMM library This is not a full linear algebra library, only a GEMM library: it only does general matrix multiplication ("GEMM"). . Its performance goals differ from typical GEMM performance goals in the following ways: 1. It cares not only about speed, but also about minimizing power usage. It specifically cares about charge usage in mobile/embedded devices. 2. Most GEMMs are optimized primarily for large dense matrix sizes (>= 1000). It does care about large sizes, but it also cares specifically about the typically smaller matrix sizes encountered in various mobile applications. . Keep in mind (previous section) that gemmlowp itself is a pure-headers-only library.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibgemmlowp-dev
PackageSectionlibdevel
PackageVersion0.0~git20191206.08c5dd3-1
SHA-1A492E9FEB9E64DDD57D1C44B4643F6328EED3F95
SHA-256AD2C7088052CC4FA43DAF449283F8708EF03DCB8721BC666F600BD08FE00D8F5
Key Value
FileSize516172
MD5C1B3D7009E18AF337CCA774D91D90906
PackageDescriptionsmall self-contained low-precision GEMM library This is not a full linear algebra library, only a GEMM library: it only does general matrix multiplication ("GEMM"). . Its performance goals differ from typical GEMM performance goals in the following ways: 1. It cares not only about speed, but also about minimizing power usage. It specifically cares about charge usage in mobile/embedded devices. 2. Most GEMMs are optimized primarily for large dense matrix sizes (>= 1000). It does care about large sizes, but it also cares specifically about the typically smaller matrix sizes encountered in various mobile applications. . Keep in mind (previous section) that gemmlowp itself is a pure-headers-only library.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibgemmlowp-dev
PackageSectionlibdevel
PackageVersion0.0~git20190128.58825b1-1
SHA-1D5F321BF8EA801C3B3DAB27C49D81DCE63FDECFF
SHA-256D51C90EFC19D11E085CAB9ED28D8C1332F62BAA173D91B5CDE7974C995B1CFA1
Key Value
MD5B730B0E2873A762D15EEB85B6D80A72F
PackageArchx86_64
PackageDescriptionThis open source software library for numerical computation is used for data flow graphs. The graph nodes represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture enables you to deploy computation to one or more CPUs in a desktop, server, or mobile device without rewriting code. This package provides necessary headers for the C/C++ Api
PackageMaintainerhttps://bugs.opensuse.org
PackageNametensorflow2-lite-devel
PackageReleasebp153.1.18
PackageVersion2.1.2
SHA-17C43BB38BAFF88C9EAC2D5362FBCF569F5141E4A
SHA-2563B60EA0D1995A7ED0D1C83F92F668C92C454065CBE169B9380C7F65CC5DE15C1
Key Value
FileSize516172
MD55A4740CA2426858D858F847206AD0175
PackageDescriptionsmall self-contained low-precision GEMM library This is not a full linear algebra library, only a GEMM library: it only does general matrix multiplication ("GEMM"). . Its performance goals differ from typical GEMM performance goals in the following ways: 1. It cares not only about speed, but also about minimizing power usage. It specifically cares about charge usage in mobile/embedded devices. 2. Most GEMMs are optimized primarily for large dense matrix sizes (>= 1000). It does care about large sizes, but it also cares specifically about the typically smaller matrix sizes encountered in various mobile applications. . Keep in mind (previous section) that gemmlowp itself is a pure-headers-only library.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibgemmlowp-dev
PackageSectionlibdevel
PackageVersion0.0~git20190128.58825b1-1
SHA-1BD59F40BFB0D8253EA1D538FAE52893FDA3229CB
SHA-2567275CB0C45B29C0DF6E4FDB8CB09FC077E028967F4BB0EB962ECAC248BD713C7
Key Value
MD5E6D065FC76BD6D1847651A1DBD3DE502
PackageArchx86_64
PackageDescriptionThis open source software library for numerical computation is used for data flow graphs. The graph nodes represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture enables you to deploy computation to one or more CPUs in a desktop, server, or mobile device without rewriting code. This package provides necessary headers for the C/C++ Api
PackageMaintainerhttps://bugs.opensuse.org
PackageNametensorflow-lite-devel
PackageReleasebp153.1.13
PackageVersion1.15.4
SHA-1D6E23432C66F5555C39BE56992C69D44286CB410
SHA-2567CE21ADE4696279A0ACC1389119C10A2F47EB731D4FE61B703C77406A0FC6FDC
Key Value
FileSize516172
MD55B1D205DBACF616ABEB1ABD4CFC70368
PackageDescriptionsmall self-contained low-precision GEMM library This is not a full linear algebra library, only a GEMM library: it only does general matrix multiplication ("GEMM"). . Its performance goals differ from typical GEMM performance goals in the following ways: 1. It cares not only about speed, but also about minimizing power usage. It specifically cares about charge usage in mobile/embedded devices. 2. Most GEMMs are optimized primarily for large dense matrix sizes (>= 1000). It does care about large sizes, but it also cares specifically about the typically smaller matrix sizes encountered in various mobile applications. . Keep in mind (previous section) that gemmlowp itself is a pure-headers-only library.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibgemmlowp-dev
PackageSectionlibdevel
PackageVersion0.0~git20190128.58825b1-1
SHA-10CC04836FE89DBC03C7049AFC92DEC02BF64ADCF
SHA-256D85992F2A7813D46B8314FD3EBEF776748775095C639725772CEF4C94A23609C
Key Value
FileSize516172
MD54C4AD78A4CA95DF44E32B2CCE31CFC79
PackageDescriptionsmall self-contained low-precision GEMM library This is not a full linear algebra library, only a GEMM library: it only does general matrix multiplication ("GEMM"). . Its performance goals differ from typical GEMM performance goals in the following ways: 1. It cares not only about speed, but also about minimizing power usage. It specifically cares about charge usage in mobile/embedded devices. 2. Most GEMMs are optimized primarily for large dense matrix sizes (>= 1000). It does care about large sizes, but it also cares specifically about the typically smaller matrix sizes encountered in various mobile applications. . Keep in mind (previous section) that gemmlowp itself is a pure-headers-only library.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibgemmlowp-dev
PackageSectionlibdevel
PackageVersion0.0~git20190128.58825b1-1
SHA-14B6BD90009E2CC9612D64D9DC279AE22021C40DA
SHA-256CAC2A802AA90F5FAAEC6CADD5A173215B43D5B7E88CE2F68EBCFEFA2CEBD27B7
Key Value
FileSize516176
MD552BE44954F8E66A440318E991C0CB588
PackageDescriptionsmall self-contained low-precision GEMM library This is not a full linear algebra library, only a GEMM library: it only does general matrix multiplication ("GEMM"). . Its performance goals differ from typical GEMM performance goals in the following ways: 1. It cares not only about speed, but also about minimizing power usage. It specifically cares about charge usage in mobile/embedded devices. 2. Most GEMMs are optimized primarily for large dense matrix sizes (>= 1000). It does care about large sizes, but it also cares specifically about the typically smaller matrix sizes encountered in various mobile applications. . Keep in mind (previous section) that gemmlowp itself is a pure-headers-only library.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibgemmlowp-dev
PackageSectionlibdevel
PackageVersion0.0~git20190128.58825b1-1
SHA-144817F4B3C2194322EDEF69D12652D0D5C63A1DB
SHA-25681B4E4E10B7829EC29B505A87559F09F56FB13A4C3A27F40990BC12043205581
Key Value
FileSize516172
MD52A26C64B56E50E2B2E29B4789312E9B9
PackageDescriptionsmall self-contained low-precision GEMM library This is not a full linear algebra library, only a GEMM library: it only does general matrix multiplication ("GEMM"). . Its performance goals differ from typical GEMM performance goals in the following ways: 1. It cares not only about speed, but also about minimizing power usage. It specifically cares about charge usage in mobile/embedded devices. 2. Most GEMMs are optimized primarily for large dense matrix sizes (>= 1000). It does care about large sizes, but it also cares specifically about the typically smaller matrix sizes encountered in various mobile applications. . Keep in mind (previous section) that gemmlowp itself is a pure-headers-only library.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibgemmlowp-dev
PackageSectionlibdevel
PackageVersion0.0~git20190128.58825b1-1
SHA-1A5D2F4AE951FD0D5110420489E455B4D4647A7D3
SHA-25625E320B14D5A73ADBD6B61BD68AD1FBCA21ED89DE2D335C41771116C80F503EA
Key Value
FileSize516176
MD5D24C8CA228E97810083326238DD725B3
PackageDescriptionsmall self-contained low-precision GEMM library This is not a full linear algebra library, only a GEMM library: it only does general matrix multiplication ("GEMM"). . Its performance goals differ from typical GEMM performance goals in the following ways: 1. It cares not only about speed, but also about minimizing power usage. It specifically cares about charge usage in mobile/embedded devices. 2. Most GEMMs are optimized primarily for large dense matrix sizes (>= 1000). It does care about large sizes, but it also cares specifically about the typically smaller matrix sizes encountered in various mobile applications. . Keep in mind (previous section) that gemmlowp itself is a pure-headers-only library.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibgemmlowp-dev
PackageSectionlibdevel
PackageVersion0.0~git20190128.58825b1-1
SHA-1437596005189221FA2C631BF6081871CF2516F05
SHA-256A317ECCCA884C49F1D95AB8EAB537EC6424EFE820BAEDD23775D0E99A3679FB3
Key Value
FileSize516176
MD5204D07B5439D72935FE79CB90743347A
PackageDescriptionsmall self-contained low-precision GEMM library This is not a full linear algebra library, only a GEMM library: it only does general matrix multiplication ("GEMM"). . Its performance goals differ from typical GEMM performance goals in the following ways: 1. It cares not only about speed, but also about minimizing power usage. It specifically cares about charge usage in mobile/embedded devices. 2. Most GEMMs are optimized primarily for large dense matrix sizes (>= 1000). It does care about large sizes, but it also cares specifically about the typically smaller matrix sizes encountered in various mobile applications. . Keep in mind (previous section) that gemmlowp itself is a pure-headers-only library.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibgemmlowp-dev
PackageSectionlibdevel
PackageVersion0.0~git20190128.58825b1-1
SHA-1AAACF066B483D91941F1B7FDA435FD985D3EF342
SHA-2566DB538B63D59F685B73C08F9253802C1ED1635A204EDC047E91110F4556A8DAD
Key Value
FileSize516172
MD5B6F95C5A219B614AE4B986529CEB6F2A
PackageDescriptionsmall self-contained low-precision GEMM library This is not a full linear algebra library, only a GEMM library: it only does general matrix multiplication ("GEMM"). . Its performance goals differ from typical GEMM performance goals in the following ways: 1. It cares not only about speed, but also about minimizing power usage. It specifically cares about charge usage in mobile/embedded devices. 2. Most GEMMs are optimized primarily for large dense matrix sizes (>= 1000). It does care about large sizes, but it also cares specifically about the typically smaller matrix sizes encountered in various mobile applications. . Keep in mind (previous section) that gemmlowp itself is a pure-headers-only library.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibgemmlowp-dev
PackageSectionlibdevel
PackageVersion0.0~git20190128.58825b1-1
SHA-19A7C3F283270CB8B309BCE49B0BABC6A608021B7
SHA-25631D8F808FAD1511941A3CF67F6CE1CAB01E6400594C63AD2D2B4BEECD6150807
Key Value
FileSize516172
MD5D2C76969CDD36CB597ED3800D07122AE
PackageDescriptionsmall self-contained low-precision GEMM library This is not a full linear algebra library, only a GEMM library: it only does general matrix multiplication ("GEMM"). . Its performance goals differ from typical GEMM performance goals in the following ways: 1. It cares not only about speed, but also about minimizing power usage. It specifically cares about charge usage in mobile/embedded devices. 2. Most GEMMs are optimized primarily for large dense matrix sizes (>= 1000). It does care about large sizes, but it also cares specifically about the typically smaller matrix sizes encountered in various mobile applications. . Keep in mind (previous section) that gemmlowp itself is a pure-headers-only library.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibgemmlowp-dev
PackageSectionlibdevel
PackageVersion0.0~git20190128.58825b1-1
SHA-15446AA62368EB2AE81B22DF1101C5E876B59C0C4
SHA-256A2C1D827A41D0C9AE828185AA566BF108DE8044F945D82BE1587731B0417BBEA