Parents (Total: 3)

The searched file hash is included in 3 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
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