Result for 006FDC41ABAA0D125F020A8DDE506501B248601C

Query result

Key Value
FileName./usr/share/doc/librandom123-dev/examples/time_opencl_kernel.ocl
FileSize1596
MD5CC883B7135D71A40B06EEF58FCDCF45C
SHA-1006FDC41ABAA0D125F020A8DDE506501B248601C
SHA-25652DC3E286D1BC781E62B9F8A33A078795BAA3313B8C98D9DDBB99A731086B995
SSDEEP48:XuoOYrYH0FrYHKvz4943JL53hELmL3tqTHdRhP:X0YrYH0FrYHKrN3B53hpYT9RhP
TLSHT15A31589712440BA34FD2169271A6BAC4B09DD03D3F336E056C59B2C4577752FD5BB091
hashlookup:parent-total11
hashlookup:trust100

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Parents (Total: 11)

The searched file hash is included in 11 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize492876
MD5BA815D82F2966B8EDF098E10C18211D5
PackageDescriptiondocumentation and examples of parallel random numbers library Random123 is a family of highly parallelizable counter-based random number generators (CBRNGs) that are useful for a wide range of applications. . Random123 is a library of "counter-based" random number generators (CBRNGs), in which the Nth random number can be obtained by applying a stateless mixing function to N instead of the conventional approach of using N iterations of a stateful transformation. CBRNGs are ideal for a wide range of applications on modern multi-core CPUs, GPUs, clusters, and special-purpose hardware. Three families of non-cryptographic CBRNGs are described in a paper presented at the SC11 conference: ARS (based on the Advanced Encryption System (AES)), Threefry (based on the Threefish encryption function), and Philox (based on integer multiplication). They all satisfy rigorous statistical testing (passing BigCrush in TestU01), vectorize and parallelize well (each generator can produce at least 264 independent streams), have long periods (the period of each stream is at least 2128), require little or no memory or state, and have excellent performance (a few clock cycles per byte of random output). The Random123 library can be used with CPU (C and C++) and GPU (CUDA and OpenCL) applications. . This package contains the documentation and examples for the library.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamelibrandom123-doc
PackageSectiondoc
PackageVersion1.14.0~rc2+dfsg-1
SHA-1CB001C2916AFE7D476CD84FF7104BD14FF125D3E
SHA-2565A15AD24BBCAA10356E6887B996A56B71355E86557A0E016EB536997D6F156CC
Key Value
FileSize419312
MD58D0CBD6E94C77E32470FA32EAF267BD8
PackageDescriptiondocumentation and examples of parallel random numbers library Random123 is a family of highly parallelizable counter-based random number generators (CBRNGs) that are useful for a wide range of applications. . Random123 is a library of "counter-based" random number generators (CBRNGs), in which the Nth random number can be obtained by applying a stateless mixing function to N instead of the conventional approach of using N iterations of a stateful transformation. CBRNGs are ideal for a wide range of applications on modern multi-core CPUs, GPUs, clusters, and special-purpose hardware. Three families of non-cryptographic CBRNGs are described in a paper presented at the SC11 conference: ARS (based on the Advanced Encryption System (AES)), Threefry (based on the Threefish encryption function), and Philox (based on integer multiplication). They all satisfy rigorous statistical testing (passing BigCrush in TestU01), vectorize and parallelize well (each generator can produce at least 264 independent streams), have long periods (the period of each stream is at least 2128), require little or no memory or state, and have excellent performance (a few clock cycles per byte of random output). The Random123 library can be used with CPU (C and C++) and GPU (CUDA and OpenCL) applications. . This package contains the documentation and examples for the library.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibrandom123-doc
PackageSectiondoc
PackageVersion1.09+dfsg-2
SHA-19E72EEFBF48672E801ECF1A8B62CF26544B1FF81
SHA-2567EDAB17BCDC4084C56679EC8E4121CBA1185AAA4ACC4240C50C7C0F5B44A19F7
Key Value
FileSize419276
MD55C97E418D04069D7BD242CFD1E86779D
PackageDescriptiondocumentation and examples of parallel random numbers library Random123 is a family of highly parallelizable counter-based random number generators (CBRNGs) that are useful for a wide range of applications. . Random123 is a library of "counter-based" random number generators (CBRNGs), in which the Nth random number can be obtained by applying a stateless mixing function to N instead of the conventional approach of using N iterations of a stateful transformation. CBRNGs are ideal for a wide range of applications on modern multi-core CPUs, GPUs, clusters, and special-purpose hardware. Three families of non-cryptographic CBRNGs are described in a paper presented at the SC11 conference: ARS (based on the Advanced Encryption System (AES)), Threefry (based on the Threefish encryption function), and Philox (based on integer multiplication). They all satisfy rigorous statistical testing (passing BigCrush in TestU01), vectorize and parallelize well (each generator can produce at least 264 independent streams), have long periods (the period of each stream is at least 2128), require little or no memory or state, and have excellent performance (a few clock cycles per byte of random output). The Random123 library can be used with CPU (C and C++) and GPU (CUDA and OpenCL) applications. . This package contains the documentation and examples for the library.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamelibrandom123-doc
PackageSectiondoc
PackageVersion1.09+dfsg-2
SHA-1DC343E2A1E458DD9D1AA6FF72653E35BB8F9899D
SHA-256394D57ABDE1E13477AD6A89F4CE88EE041E49AB6E5F123335CCAF0674CE3B69C
Key Value
MD531457C2C6C739136E9B0BC10F618A1B3
PackageArchnoarch
PackageDescriptionDocumentation for Random123 Random123 is a library of "counter-based" random number generators (CBRNGs), in which the Nth random number can be obtained by applying a stateless mixing function to N instead of the conventional approach of using N iterations of a stateful transformation. CBRNGs were originally developed for use in MD applications on Anton, but they are ideal for a wide range of applications on modern multi-core CPUs, GPUs, clusters, and special-purpose hardware. Three families of non-cryptographic CBRNGs are described in a paper presented at the SC11 conference: ARS (based on the Advanced Encryption System (AES)), Threefry (based on the Threefish encryption function), and Philox (based on integer multiplication). They all satisfy rigorous statistical testing (passing BigCrush in TestU01), vectorize and parallelize well (each generator can produce at least 264 independent streams), have long periods (the period of each stream is at least 2128), require little or no memory or state, and have excellent performance (a few clock cycles per byte of random output). The Random123 library can be used with CPU (C and C++) and GPU (CUDA and OpenCL) applications.
PackageMaintainerFedora Project
PackageNameRandom123-doc
PackageRelease3.fc23
PackageVersion1.08
SHA-1E70DF4DBBA91C2B139FF7AAB9EFBE8F0A525C0F9
SHA-2561F9137A07A282D868FF64808E1CBDA5D6B2489F9E472C081D0437E3CC133A801
Key Value
MD56EE43E6D56DD0647096547964239243A
PackageArchppc64
PackageDescriptionDocumentation for Random123 Random123 is a library of "counter-based" random number generators (CBRNGs), in which the Nth random number can be obtained by applying a stateless mixing function to N instead of the conventional approach of using N iterations of a stateful transformation. CBRNGs were originally developed for use in MD applications on Anton, but they are ideal for a wide range of applications on modern multi-core CPUs, GPUs, clusters, and special-purpose hardware. Three families of non-cryptographic CBRNGs are described in a paper presented at the SC11 conference: ARS (based on the Advanced Encryption System (AES)), Threefry (based on the Threefish encryption function), and Philox (based on integer multiplication). They all satisfy rigorous statistical testing (passing BigCrush in TestU01), vectorize and parallelize well (each generator can produce at least 264 independent streams), have long periods (the period of each stream is at least 2128), require little or no memory or state, and have excellent performance (a few clock cycles per byte of random output). The Random123 library can be used with CPU (C and C++) and GPU (CUDA and OpenCL) applications.
PackageMaintainerFedora Project
PackageNameRandom123-doc
PackageRelease1.fc24
PackageVersion1.09
SHA-1F5AE0F81FE0D16220B98002C2F6863113A44D9C6
SHA-2562BE6CC6311D9E747207A539E3F0FB3BD22DB7ABB4B1CBE292D5065ECEB9ED56E
Key Value
FileSize420284
MD54691E5A4BA0D9AFE0DA6496733BE2F19
PackageDescriptiondocumentation and examples of parallel random numbers library Random123 is a family of highly parallelizable counter-based random number generators (CBRNGs) that are useful for a wide range of applications. . Random123 is a library of "counter-based" random number generators (CBRNGs), in which the Nth random number can be obtained by applying a stateless mixing function to N instead of the conventional approach of using N iterations of a stateful transformation. CBRNGs are ideal for a wide range of applications on modern multi-core CPUs, GPUs, clusters, and special-purpose hardware. Three families of non-cryptographic CBRNGs are described in a paper presented at the SC11 conference: ARS (based on the Advanced Encryption System (AES)), Threefry (based on the Threefish encryption function), and Philox (based on integer multiplication). They all satisfy rigorous statistical testing (passing BigCrush in TestU01), vectorize and parallelize well (each generator can produce at least 264 independent streams), have long periods (the period of each stream is at least 2128), require little or no memory or state, and have excellent performance (a few clock cycles per byte of random output). The Random123 library can be used with CPU (C and C++) and GPU (CUDA and OpenCL) applications. . This package contains the documentation and examples for the library.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibrandom123-doc
PackageSectiondoc
PackageVersion1.09+dfsg-1
SHA-13E8053EB199BB6990F4548D76A90DC4C727FC5FD
SHA-2562AC8D9EBD09C15E4D100001EF768A1C96B6D44409B04F9593C2F79F96EF894BC
Key Value
MD507488EA99D5958F6D00F19DEE48E9864
PackageArchaarch64
PackageDescriptionDocumentation for Random123 Random123 is a library of "counter-based" random number generators (CBRNGs), in which the Nth random number can be obtained by applying a stateless mixing function to N instead of the conventional approach of using N iterations of a stateful transformation. CBRNGs were originally developed for use in MD applications on Anton, but they are ideal for a wide range of applications on modern multi-core CPUs, GPUs, clusters, and special-purpose hardware. Three families of non-cryptographic CBRNGs are described in a paper presented at the SC11 conference: ARS (based on the Advanced Encryption System (AES)), Threefry (based on the Threefish encryption function), and Philox (based on integer multiplication). They all satisfy rigorous statistical testing (passing BigCrush in TestU01), vectorize and parallelize well (each generator can produce at least 264 independent streams), have long periods (the period of each stream is at least 2128), require little or no memory or state, and have excellent performance (a few clock cycles per byte of random output). The Random123 library can be used with CPU (C and C++) and GPU (CUDA and OpenCL) applications.
PackageMaintainerFedora Project
PackageNameRandom123-doc
PackageRelease1.fc24
PackageVersion1.09
SHA-1FE55B1FF4D4F09DA9A763AD8A2248C7971233620
SHA-256037914F6E96A3A247839C173F0EB82506A66C22178CFBFBA26D6D828A90BFC12
Key Value
MD5FC508ACFD7C1175D14091DEFC79A3AF8
PackageArchnoarch
PackageDescriptionDocumentation for Random123 Random123 is a library of "counter-based" random number generators (CBRNGs), in which the Nth random number can be obtained by applying a stateless mixing function to N instead of the conventional approach of using N iterations of a stateful transformation. CBRNGs were originally developed for use in MD applications on Anton, but they are ideal for a wide range of applications on modern multi-core CPUs, GPUs, clusters, and special-purpose hardware. Three families of non-cryptographic CBRNGs are described in a paper presented at the SC11 conference: ARS (based on the Advanced Encryption System (AES)), Threefry (based on the Threefish encryption function), and Philox (based on integer multiplication). They all satisfy rigorous statistical testing (passing BigCrush in TestU01), vectorize and parallelize well (each generator can produce at least 264 independent streams), have long periods (the period of each stream is at least 2128), require little or no memory or state, and have excellent performance (a few clock cycles per byte of random output). The Random123 library can be used with CPU (C and C++) and GPU (CUDA and OpenCL) applications.
PackageMaintainerFedora Project
PackageNameRandom123-doc
PackageRelease3.fc23
PackageVersion1.08
SHA-1462B91A25CFA1336651E70CEE01F967A6262C51B
SHA-25649D284618DCBCF3A52BB5CC3869180FE92416A52C03130EF9DD3A46507ECE3AF
Key Value
FileSize492936
MD546C70F88C956F2971044ECE91569C733
PackageDescriptiondocumentation and examples of parallel random numbers library Random123 is a family of highly parallelizable counter-based random number generators (CBRNGs) that are useful for a wide range of applications. . Random123 is a library of "counter-based" random number generators (CBRNGs), in which the Nth random number can be obtained by applying a stateless mixing function to N instead of the conventional approach of using N iterations of a stateful transformation. CBRNGs are ideal for a wide range of applications on modern multi-core CPUs, GPUs, clusters, and special-purpose hardware. Three families of non-cryptographic CBRNGs are described in a paper presented at the SC11 conference: ARS (based on the Advanced Encryption System (AES)), Threefry (based on the Threefish encryption function), and Philox (based on integer multiplication). They all satisfy rigorous statistical testing (passing BigCrush in TestU01), vectorize and parallelize well (each generator can produce at least 264 independent streams), have long periods (the period of each stream is at least 2128), require little or no memory or state, and have excellent performance (a few clock cycles per byte of random output). The Random123 library can be used with CPU (C and C++) and GPU (CUDA and OpenCL) applications. . This package contains the documentation and examples for the library.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibrandom123-doc
PackageSectiondoc
PackageVersion1.14.0~rc2+dfsg-1
SHA-1977E608699EEE58944F25768DDAE51750AB63518
SHA-25657DA38077D763D594907D00A80B1AFC7EFECB04666380DA11ED2762F86828750
Key Value
MD552B50AD090D59BD26D964C93C92FDA74
PackageArchnoarch
PackageDescriptionDocumentation for Random123 Random123 is a library of "counter-based" random number generators (CBRNGs), in which the Nth random number can be obtained by applying a stateless mixing function to N instead of the conventional approach of using N iterations of a stateful transformation. CBRNGs were originally developed for use in MD applications on Anton, but they are ideal for a wide range of applications on modern multi-core CPUs, GPUs, clusters, and special-purpose hardware. Three families of non-cryptographic CBRNGs are described in a paper presented at the SC11 conference: ARS (based on the Advanced Encryption System (AES)), Threefry (based on the Threefish encryption function), and Philox (based on integer multiplication). They all satisfy rigorous statistical testing (passing BigCrush in TestU01), vectorize and parallelize well (each generator can produce at least 264 independent streams), have long periods (the period of each stream is at least 2128), require little or no memory or state, and have excellent performance (a few clock cycles per byte of random output). The Random123 library can be used with CPU (C and C++) and GPU (CUDA and OpenCL) applications.
PackageMaintainerFedora Project
PackageNameRandom123-doc
PackageRelease3.fc23
PackageVersion1.08
SHA-164A74308ABBC54741749FF0341787B3783A1C6EC
SHA-25647B0164DDBDB6568D9EE9620DF651C4943B3A5E1758A63F7B1E6A7A920C8E978
Key Value
FileSize492976
MD5A04D0D41AECC372D357356E9D4DC78C9
PackageDescriptiondocumentation and examples of parallel random numbers library Random123 is a family of highly parallelizable counter-based random number generators (CBRNGs) that are useful for a wide range of applications. . Random123 is a library of "counter-based" random number generators (CBRNGs), in which the Nth random number can be obtained by applying a stateless mixing function to N instead of the conventional approach of using N iterations of a stateful transformation. CBRNGs are ideal for a wide range of applications on modern multi-core CPUs, GPUs, clusters, and special-purpose hardware. Three families of non-cryptographic CBRNGs are described in a paper presented at the SC11 conference: ARS (based on the Advanced Encryption System (AES)), Threefry (based on the Threefish encryption function), and Philox (based on integer multiplication). They all satisfy rigorous statistical testing (passing BigCrush in TestU01), vectorize and parallelize well (each generator can produce at least 264 independent streams), have long periods (the period of each stream is at least 2128), require little or no memory or state, and have excellent performance (a few clock cycles per byte of random output). The Random123 library can be used with CPU (C and C++) and GPU (CUDA and OpenCL) applications. . This package contains the documentation and examples for the library.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamelibrandom123-doc
PackageSectiondoc
PackageVersion1.14.0+dfsg-1
SHA-106BFCB90001D5AA2906E87E0B144526AB26F6026
SHA-2563CA8826716C8C26E98A958F73719CCF266F1DF00FDD340B06B37F497067B01B5