Result for 0106BD7533C311D65F600DA8B9280331EB6F0A41

Query result

Key Value
FileName./usr/lib64/nvvp/features/org.eclipse.rse.core_3.4.100.201406091451/META-INF/ECLIPSE_.SF
FileSize676
MD5B7E702CDAB2BEC694D394312185700FF
SHA-10106BD7533C311D65F600DA8B9280331EB6F0A41
SHA-256FC91769B4982B17467B49A8D367F51E11863A3E8CEDEDB987BA9741FD2AF4170
SSDEEP12:WmELZpXxFAHELTopT78Q61YNM9yfV06ze+i1Mre3doY7O:WmELXXxFAHELkp0Q2YNM9yfV06z21Mq0
TLSHT188014E3AA5280CBCD769C2F21A1F10015E2DF05998BC466D9EA5479E68C1FAD22F8466
hashlookup:parent-total6
hashlookup:trust80

Network graph view

Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD56122D0DEC9E26DB1180D42BD782EA297
PackageArchx86_64
PackageDescriptionNVIDIA® CUDA™ is a general purpose parallel computing architecture that leverages the parallel compute engine in NVIDIA graphics processing units (GPUs) to solve many complex computational problems in a fraction of the time required on a CPU. It includes the CUDA Instruction Set Architecture (ISA) and the parallel compute engine in the GPU. To program to the CUDA™ architecture, developers can, today, use C++, one of the most widely used high-level programming languages, which can then be run at great performance on a CUDA™ enabled processor. Support for other languages, like FORTRAN, Python or Java, is available from third parties. This package contains NVIDIA Visual Profiler for CUDA and OpenCL.
PackageMaintainerghibo <ghibo>
PackageNamenvidia-visual-profiler
PackageRelease1.mga8.nonfree
PackageVersion11.4.3
SHA-19A9E34F0F94031812EDF58E305FCD996C3F27BAF
SHA-2561FB1D4C103FE41B44FEAAA9E959661B8F96B12E433952B6AEDA0EC47A40760B4
Key Value
MD58693A0B12E26D5312859B7FAD4AC1044
PackageArchx86_64
PackageDescriptionNVIDIA® CUDA™ is a general purpose parallel computing architecture that leverages the parallel compute engine in NVIDIA graphics processing units (GPUs) to solve many complex computational problems in a fraction of the time required on a CPU. It includes the CUDA Instruction Set Architecture (ISA) and the parallel compute engine in the GPU. To program to the CUDA™ architecture, developers can, today, use C++, one of the most widely used high-level programming languages, which can then be run at great performance on a CUDA™ enabled processor. Support for other languages, like FORTRAN, Python or Java, is available from third parties. This package contains NVIDIA Visual Profiler for CUDA and OpenCL.
PackageMaintainertmb <tmb>
PackageNamenvidia-visual-profiler
PackageRelease1.mga7.nonfree
PackageVersion10.1.168
SHA-13E5A7CD6C930441A6A893737F7AA57499E3AD5D7
SHA-2569BA0A88BBD24D578F28ECFC07A2127241011C9D9C6945BBCDC8B8908CEC1AB44
Key Value
MD5FBD282D3C11773F867225C76D5B08436
PackageArchx86_64
PackageDescriptionNVIDIA® CUDA™ is a general purpose parallel computing architecture that leverages the parallel compute engine in NVIDIA graphics processing units (GPUs) to solve many complex computational problems in a fraction of the time required on a CPU. It includes the CUDA Instruction Set Architecture (ISA) and the parallel compute engine in the GPU. To program to the CUDA™ architecture, developers can, today, use C++, one of the most widely used high-level programming languages, which can then be run at great performance on a CUDA™ enabled processor. Support for other languages, like FORTRAN, Python or Java, is available from third parties. This package contains NVIDIA Visual Profiler for CUDA and OpenCL.
PackageMaintainerwally <wally>
PackageNamenvidia-visual-profiler
PackageRelease1.2.mga7.nonfree
PackageVersion10.1.168
SHA-100ADA01980B1DEB7DA53C7C39D0054CDFFF5C1F6
SHA-256E4BDFF42AB6C89E6FC3050A5183155785312B3111F6453E71D8894EA6199BE37
Key Value
MD56959F293D511F9B92125EA562AD99B75
PackageArchx86_64
PackageDescriptionNVIDIA® CUDA™ is a general purpose parallel computing architecture that leverages the parallel compute engine in NVIDIA graphics processing units (GPUs) to solve many complex computational problems in a fraction of the time required on a CPU. It includes the CUDA Instruction Set Architecture (ISA) and the parallel compute engine in the GPU. To program to the CUDA™ architecture, developers can, today, use C++, one of the most widely used high-level programming languages, which can then be run at great performance on a CUDA™ enabled processor. Support for other languages, like FORTRAN, Python or Java, is available from third parties. This package contains NVIDIA Visual Profiler for CUDA and OpenCL.
PackageMaintainerghibo <ghibo>
PackageNamenvidia-visual-profiler
PackageRelease8.mga8.nonfree
PackageVersion11.2.0
SHA-16FBC174719D930AB9B60B98B8C71DF1830CC5AA9
SHA-25643B052EFF636119D473D78B1102DA017FFD4041856F2BCD374B4C7BED2D6C0DD
Key Value
MD5B9E9B86353D42E2CE5C5B3F25D56D341
PackageArchx86_64
PackageDescriptionNVIDIA® CUDA™ is a general purpose parallel computing architecture that leverages the parallel compute engine in NVIDIA graphics processing units (GPUs) to solve many complex computational problems in a fraction of the time required on a CPU. It includes the CUDA Instruction Set Architecture (ISA) and the parallel compute engine in the GPU. To program to the CUDA™ architecture, developers can, today, use C++, one of the most widely used high-level programming languages, which can then be run at great performance on a CUDA™ enabled processor. Support for other languages, like FORTRAN, Python or Java, is available from third parties. This package contains NVIDIA Visual Profiler for CUDA and OpenCL.
PackageMaintainerumeabot <umeabot>
PackageNamenvidia-visual-profiler
PackageRelease5.mga9.nonfree
PackageVersion11.5.1
SHA-1E6B4CBF90968B3D45C3799247770B54A6AD7B921
SHA-256B1D4C8EA7AB07E04995B2F0882690DAC3DBE7D1C0D4ECEEA25E54F3E455916C6
Key Value
MD51E3D35D6C13B711E2696B5A1CF57B015
PackageArchx86_64
PackageDescriptionNVIDIA® CUDA™ is a general purpose parallel computing architecture that leverages the parallel compute engine in NVIDIA graphics processing units (GPUs) to solve many complex computational problems in a fraction of the time required on a CPU. It includes the CUDA Instruction Set Architecture (ISA) and the parallel compute engine in the GPU. To program to the CUDA™ architecture, developers can, today, use C++, one of the most widely used high-level programming languages, which can then be run at great performance on a CUDA™ enabled processor. Support for other languages, like FORTRAN, Python or Java, is available from third parties. This package contains NVIDIA Visual Profiler for CUDA and OpenCL.
PackageMaintainerghibo <ghibo>
PackageNamenvidia-visual-profiler
PackageRelease2.mga9.nonfree
PackageVersion11.8.0
SHA-1874AD761319BAEFDB7B93595737F0A20365CE245
SHA-2569CC1BC18D3294A43CFB9F663F558F7AD317B459CC3065E122A6890B3EBDB4BFC