Package: singularity-container Source: singularity Version: 2.2.1+1.2 Architecture: amd64 Maintainer: Dave Love Installed-Size: 950 Depends: libc6 (>= 2.16) Filename: ./amd64/singularity-container_2.2.1+1.2_amd64.deb Size: 130516 MD5sum: 9c2cdde360cddd0b50e86189bdf643eb SHA1: d6bbed374f0516680168aed118e50034257607ee SHA256: f57529a6127b240bc5a0ca01e18833a54e06d5fa45d07bdab4a3afa1d485a23d 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+4.2 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 2390 Depends: libc6 (>= 2.16), python Filename: ./amd64/singularity-container_2.3.1+4.2_amd64.deb Size: 287530 MD5sum: 5c44b6cbf4a918c7b2dd1ba7f45640e2 SHA1: 0f52582198182c0cd8f71119fc44ac2def47cd28 SHA256: 0278a96e3f45179e693a330a1e400a5dad1e552a3af0e5609c3f0d7c944c67ed 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+1.2 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 2417 Depends: libc6 (>= 2.16), python Filename: ./amd64/singularity-container_2.3.2+1.2_amd64.deb Size: 288932 MD5sum: f530aad177078684206fbc837be379e3 SHA1: c29594c3d2be03dfc5ee6207d48affce51b73f9d SHA256: ffd7951da92de3a5f7abf8e774c4176e8ab57220c38a86bb4b7a34e94189de22 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+3.2 Architecture: amd64 Maintainer: Gregory M. Kurtzer Installed-Size: 2211 Depends: libc6 (>= 2.14), python, squashfs-tools Filename: ./amd64/singularity-container_2.4.0+3.2_amd64.deb Size: 295490 MD5sum: eebf873c0700e0a8dfa0634e59b55b8d SHA1: 211c872e5b032a66e7671da1c17f5304b2ffd111 SHA256: f5ce734b9bad4a743d4c1094867881ce091e85f23f9c3c1e07f308fa024597ad 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.