Parents (Total: 8)

The searched file hash is included in 8 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	419276
MD5	5C97E418D04069D7BD242CFD1E86779D
PackageDescription	documentation 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.
PackageMaintainer	Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageName	librandom123-doc
PackageSection	doc
PackageVersion	1.09+dfsg-2
SHA-1	DC343E2A1E458DD9D1AA6FF72653E35BB8F9899D
SHA-256	394D57ABDE1E13477AD6A89F4CE88EE041E49AB6E5F123335CCAF0674CE3B69C

Key	Value
FileSize	419312
MD5	8D0CBD6E94C77E32470FA32EAF267BD8
PackageDescription	documentation 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	librandom123-doc
PackageSection	doc
PackageVersion	1.09+dfsg-2
SHA-1	9E72EEFBF48672E801ECF1A8B62CF26544B1FF81
SHA-256	7EDAB17BCDC4084C56679EC8E4121CBA1185AAA4ACC4240C50C7C0F5B44A19F7

Key	Value
MD5	31457C2C6C739136E9B0BC10F618A1B3
PackageArch	noarch
PackageDescription	Documentation 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.
PackageMaintainer	Fedora Project
PackageName	Random123-doc
PackageRelease	3.fc23
PackageVersion	1.08
SHA-1	E70DF4DBBA91C2B139FF7AAB9EFBE8F0A525C0F9
SHA-256	1F9137A07A282D868FF64808E1CBDA5D6B2489F9E472C081D0437E3CC133A801

Key	Value
MD5	6EE43E6D56DD0647096547964239243A
PackageArch	ppc64
PackageDescription	Documentation 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.
PackageMaintainer	Fedora Project
PackageName	Random123-doc
PackageRelease	1.fc24
PackageVersion	1.09
SHA-1	F5AE0F81FE0D16220B98002C2F6863113A44D9C6
SHA-256	2BE6CC6311D9E747207A539E3F0FB3BD22DB7ABB4B1CBE292D5065ECEB9ED56E

Key	Value
FileSize	420284
MD5	4691E5A4BA0D9AFE0DA6496733BE2F19
PackageDescription	documentation 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	librandom123-doc
PackageSection	doc
PackageVersion	1.09+dfsg-1
SHA-1	3E8053EB199BB6990F4548D76A90DC4C727FC5FD
SHA-256	2AC8D9EBD09C15E4D100001EF768A1C96B6D44409B04F9593C2F79F96EF894BC

Key	Value
MD5	07488EA99D5958F6D00F19DEE48E9864
PackageArch	aarch64
PackageDescription	Documentation 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.
PackageMaintainer	Fedora Project
PackageName	Random123-doc
PackageRelease	1.fc24
PackageVersion	1.09
SHA-1	FE55B1FF4D4F09DA9A763AD8A2248C7971233620
SHA-256	037914F6E96A3A247839C173F0EB82506A66C22178CFBFBA26D6D828A90BFC12

Key	Value
MD5	FC508ACFD7C1175D14091DEFC79A3AF8
PackageArch	noarch
PackageDescription	Documentation 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.
PackageMaintainer	Fedora Project
PackageName	Random123-doc
PackageRelease	3.fc23
PackageVersion	1.08
SHA-1	462B91A25CFA1336651E70CEE01F967A6262C51B
SHA-256	49D284618DCBCF3A52BB5CC3869180FE92416A52C03130EF9DD3A46507ECE3AF

Key	Value
MD5	52B50AD090D59BD26D964C93C92FDA74
PackageArch	noarch
PackageDescription	Documentation 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.
PackageMaintainer	Fedora Project
PackageName	Random123-doc
PackageRelease	3.fc23
PackageVersion	1.08
SHA-1	64A74308ABBC54741749FF0341787B3783A1C6EC
SHA-256	47B0164DDBDB6568D9EE9620DF651C4943B3A5E1758A63F7B1E6A7A920C8E978