Package: singularity-container Source: singularity Version: 2.2.1+1.13 Architecture: amd64 Maintainer: Dave Love Installed-Size: 920 Depends: libc6 (>= 2.16) Filename: ./amd64/singularity-container_2.2.1+1.13_amd64.deb Size: 132704 MD5sum: 6e677372dc7f943030aaae619d1d411f SHA1: c827740be02bff0fce4fd618a96eb449e820c77f SHA256: 414de49ad070f2f4feaf6f365580e2650f08a335971e96739c88ecb8f77524fb Section: admin Priority: optional Homepage: http://gmkurtzer.github.io/singularity Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers. Package: singularity-container Version: 2.3.1+4.14 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 2355 Depends: libc6 (>= 2.27), python Filename: ./amd64/singularity-container_2.3.1+4.14_amd64.deb Size: 284340 MD5sum: 55295dbb6d8bfe5755e476eefa26ca79 SHA1: b286f7cd087580b46346027f9ebca43fd57ac135 SHA256: e12e4edab961dc9245f31c5ac55d9779145f38b982fa79566aea904e664ea622 Section: admin Priority: optional Homepage: http://gmkurtzer.github.io/singularity Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers. Package: singularity-container Version: 2.3.2+1.14 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 2365 Depends: libc6 (>= 2.27), python Filename: ./amd64/singularity-container_2.3.2+1.14_amd64.deb Size: 286384 MD5sum: c17abd59e17bd6bb29506d3d47450e47 SHA1: 366033cc1490b999f5084d2cb14fcdcac9b657a9 SHA256: 5c60196d51e2609026b93775f6ee2562092d5292709f0859484b77be9d922e32 Section: admin Priority: optional Homepage: http://gmkurtzer.github.io/singularity Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers. Package: singularity-container Version: 2.4.0+3.14 Architecture: amd64 Maintainer: Gregory M. Kurtzer Installed-Size: 2157 Depends: libc6 (>= 2.27), python, squashfs-tools Filename: ./amd64/singularity-container_2.4.0+3.14_amd64.deb Size: 297392 MD5sum: 51ca49b458e41d9d59b31d41e56a53e4 SHA1: c1b6ab6d8440ace02b6eb4470f99e5e7e58d7f62 SHA256: a89c2c842e611aef729923d89d2e636e61c58d200c8c45c2857d0104f6bbe503 Section: admin Priority: optional Homepage: http://gmkurtzer.github.io/singularity Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers.