Key | Value |
---|---|
FileName | ./usr/lib64/nvvp/features/org.eclipse.rse.core_3.4.100.201406091451/META-INF/ECLIPSE_.SF |
FileSize | 676 |
MD5 | B7E702CDAB2BEC694D394312185700FF |
SHA-1 | 0106BD7533C311D65F600DA8B9280331EB6F0A41 |
SHA-256 | FC91769B4982B17467B49A8D367F51E11863A3E8CEDEDB987BA9741FD2AF4170 |
SSDEEP | 12:WmELZpXxFAHELTopT78Q61YNM9yfV06ze+i1Mre3doY7O:WmELXXxFAHELkp0Q2YNM9yfV06z21Mq0 |
TLSH | T188014E3AA5280CBCD769C2F21A1F10015E2DF05998BC466D9EA5479E68C1FAD22F8466 |
hashlookup:parent-total | 6 |
hashlookup:trust | 80 |
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 |
---|---|
MD5 | 6122D0DEC9E26DB1180D42BD782EA297 |
PackageArch | x86_64 |
PackageDescription | NVIDIA® 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. |
PackageMaintainer | ghibo <ghibo> |
PackageName | nvidia-visual-profiler |
PackageRelease | 1.mga8.nonfree |
PackageVersion | 11.4.3 |
SHA-1 | 9A9E34F0F94031812EDF58E305FCD996C3F27BAF |
SHA-256 | 1FB1D4C103FE41B44FEAAA9E959661B8F96B12E433952B6AEDA0EC47A40760B4 |
Key | Value |
---|---|
MD5 | 8693A0B12E26D5312859B7FAD4AC1044 |
PackageArch | x86_64 |
PackageDescription | NVIDIA® 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. |
PackageMaintainer | tmb <tmb> |
PackageName | nvidia-visual-profiler |
PackageRelease | 1.mga7.nonfree |
PackageVersion | 10.1.168 |
SHA-1 | 3E5A7CD6C930441A6A893737F7AA57499E3AD5D7 |
SHA-256 | 9BA0A88BBD24D578F28ECFC07A2127241011C9D9C6945BBCDC8B8908CEC1AB44 |
Key | Value |
---|---|
MD5 | FBD282D3C11773F867225C76D5B08436 |
PackageArch | x86_64 |
PackageDescription | NVIDIA® 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. |
PackageMaintainer | wally <wally> |
PackageName | nvidia-visual-profiler |
PackageRelease | 1.2.mga7.nonfree |
PackageVersion | 10.1.168 |
SHA-1 | 00ADA01980B1DEB7DA53C7C39D0054CDFFF5C1F6 |
SHA-256 | E4BDFF42AB6C89E6FC3050A5183155785312B3111F6453E71D8894EA6199BE37 |
Key | Value |
---|---|
MD5 | 6959F293D511F9B92125EA562AD99B75 |
PackageArch | x86_64 |
PackageDescription | NVIDIA® 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. |
PackageMaintainer | ghibo <ghibo> |
PackageName | nvidia-visual-profiler |
PackageRelease | 8.mga8.nonfree |
PackageVersion | 11.2.0 |
SHA-1 | 6FBC174719D930AB9B60B98B8C71DF1830CC5AA9 |
SHA-256 | 43B052EFF636119D473D78B1102DA017FFD4041856F2BCD374B4C7BED2D6C0DD |
Key | Value |
---|---|
MD5 | B9E9B86353D42E2CE5C5B3F25D56D341 |
PackageArch | x86_64 |
PackageDescription | NVIDIA® 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. |
PackageMaintainer | umeabot <umeabot> |
PackageName | nvidia-visual-profiler |
PackageRelease | 5.mga9.nonfree |
PackageVersion | 11.5.1 |
SHA-1 | E6B4CBF90968B3D45C3799247770B54A6AD7B921 |
SHA-256 | B1D4C8EA7AB07E04995B2F0882690DAC3DBE7D1C0D4ECEEA25E54F3E455916C6 |
Key | Value |
---|---|
MD5 | 1E3D35D6C13B711E2696B5A1CF57B015 |
PackageArch | x86_64 |
PackageDescription | NVIDIA® 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. |
PackageMaintainer | ghibo <ghibo> |
PackageName | nvidia-visual-profiler |
PackageRelease | 2.mga9.nonfree |
PackageVersion | 11.8.0 |
SHA-1 | 874AD761319BAEFDB7B93595737F0A20365CE245 |
SHA-256 | 9CC1BC18D3294A43CFB9F663F558F7AD317B459CC3065E122A6890B3EBDB4BFC |