Result for 039916537ACC567DAA424F7799F9D7F8F164579C

Query result

Key Value
FileName./usr/share/doc/librandom123-dev/html/functions_c.html
FileSize12795
MD58BE425D1584DB6FC6B4C8C2A2F016287
SHA-1039916537ACC567DAA424F7799F9D7F8F164579C
SHA-256D034AD06FC2F37FD2C05A8557ACBA1301A77892F2140149EBFD69488808479F2
SSDEEP96:a/m0egu9b/KniwnyB888C8f89I/tKnGaTXzn114YXeRoKD3eWN1DYg1pgyVHijQw:Gmlt7KniwnyBQIXPGJ3idgxppk
TLSHT1DE42BC383AF4C7BD87A133B931402F1975D31626F3196A1869FB4EA96271F64C3F8806
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 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
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