Key | Value |
---|---|
FileName | ./usr/share/doc/nsight-systems/_static/overview.rst |
FileSize | 1924 |
MD5 | C63ED2E544F66D585D39928F4EE53C8D |
SHA-1 | 00EB55A0795A9FF12168B062D4139E1142C31CA3 |
SHA-256 | 070E65F19A81438F3ADF5E5ECA49D14EA3CCBD12264677E6622A18694B5D5250 |
SSDEEP | 48:quLKEO5r5rvi5cg7ZiRQQjS1MyG9guKedNZR5w:jKRdziL76vW1qgKdNZRO |
TLSH | T1BA41200A56003F70528302F7BB99F1C1EB22A49E7E26705170DCB77C2B1E96172B5381 |
hashlookup:parent-total | 3 |
hashlookup:trust | 65 |
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 |
---|---|
MD5 | 17987B56FD923F069E16975784D8F444 |
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 Nsight Eclipse Edition, a full-featured CUDA IDE. |
PackageMaintainer | wally <wally> |
PackageName | nvidia-nsight |
PackageRelease | 1.2.mga7.nonfree |
PackageVersion | 10.1.168 |
SHA-1 | CD5F459421DB2CEA3A68AB23E21FF5EE892D67D1 |
SHA-256 | CF4BFEFA1164850BE3038EB4A9D3A9B3F2427968E43F1D3A86D74BD6C845510A |
Key | Value |
---|---|
MD5 | C5938DF1651F6CFF164FA89360855AB4 |
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 Nsight Eclipse Edition, a full-featured CUDA IDE. |
PackageMaintainer | tmb <tmb> |
PackageName | nvidia-nsight |
PackageRelease | 1.mga7.nonfree |
PackageVersion | 10.1.168 |
SHA-1 | 87AC227330A5AEE98EE0928678CD20D73738254F |
SHA-256 | B635C39DBEC7AF331D550FDB8A9E090025A93DF77EE2B9BC3177BECBFEB90C11 |
Key | Value |
---|---|
FileSize | 71377864 |
MD5 | 997A222910B27E41D6324E2B499C1830 |
PackageDescription | NVIDIA 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | nsight-systems |
PackageSection | non-free/devel |
PackageVersion | 10.1.243-3 |
SHA-1 | 640E8832B4940763E66FFC7548EE5A25B1DC5197 |
SHA-256 | D8016C8D8A45B7245339D8C31A1D861A541229239BD6B23F864F0C84D2761D7D |