Result for 00EB55A0795A9FF12168B062D4139E1142C31CA3

Query result

Key Value
FileName./usr/share/doc/nsight-systems/_static/overview.rst
FileSize1924
MD5C63ED2E544F66D585D39928F4EE53C8D
SHA-100EB55A0795A9FF12168B062D4139E1142C31CA3
SHA-256070E65F19A81438F3ADF5E5ECA49D14EA3CCBD12264677E6622A18694B5D5250
SSDEEP48:quLKEO5r5rvi5cg7ZiRQQjS1MyG9guKedNZR5w:jKRdziL76vW1qgKdNZRO
TLSHT1BA41200A56003F70528302F7BB99F1C1EB22A49E7E26705170DCB77C2B1E96172B5381
hashlookup:parent-total3
hashlookup:trust65

Network graph view

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
MD517987B56FD923F069E16975784D8F444
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 Nsight Eclipse Edition, a full-featured CUDA IDE.
PackageMaintainerwally <wally>
PackageNamenvidia-nsight
PackageRelease1.2.mga7.nonfree
PackageVersion10.1.168
SHA-1CD5F459421DB2CEA3A68AB23E21FF5EE892D67D1
SHA-256CF4BFEFA1164850BE3038EB4A9D3A9B3F2427968E43F1D3A86D74BD6C845510A
Key Value
MD5C5938DF1651F6CFF164FA89360855AB4
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 Nsight Eclipse Edition, a full-featured CUDA IDE.
PackageMaintainertmb <tmb>
PackageNamenvidia-nsight
PackageRelease1.mga7.nonfree
PackageVersion10.1.168
SHA-187AC227330A5AEE98EE0928678CD20D73738254F
SHA-256B635C39DBEC7AF331D550FDB8A9E090025A93DF77EE2B9BC3177BECBFEB90C11
Key Value
FileSize71377864
MD5997A222910B27E41D6324E2B499C1830
PackageDescriptionNVIDIA Nsight Systems NVIDIA Nsight Systems is a system-wide performance analysis tool designed to visualize an application’s algorithms, help you identify the largest opportunities to optimize, and tune to scale efficiently across any quantity or size of CPUs and GPUs; from large server to smallest SoCs.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamensight-systems
PackageSectionnon-free/devel
PackageVersion10.1.243-3
SHA-1640E8832B4940763E66FFC7548EE5A25B1DC5197
SHA-256D8016C8D8A45B7245339D8C31A1D861A541229239BD6B23F864F0C84D2761D7D