Singularity is increasingly recognized as the ideal container technology for AI, Machine/Deep Learning, compute-driven analytics, and Data Science. Recently released Version 3.0 of this open source software incorporates a number of significant enhancements that span from the core of the software itself to the enabling ecosystem that surrounds it. Thus the purpose of this presentation is to provide a technical overview of the following enhancements: reimplementation of the Singularity core in a combination Go and C; the introduction of the Singularity Image Format (SIF) as a file-based paradigm for encapsulating cryptographically signable and verifiable container images; expansion of the Singularity ecosystem through cloud-hosted services for signing and verifying cryptographic keys for SIF images, remotely building images as well as a repository for storing and sharing images; plus miscellaneous enhancements regarding instance support and networking management. Platform enhancements, together with an expanded and better-enabled container ecosystem, combine to set Singularity apart as the optimal choice for compute-driven workloads wherever they exist. Because the Go-based core and SIF enhancements are essential to the roadmap for Singularity, allusions are made here with respect to standards compliance as well as integration with Kubernetes for container orchestration.
Containerized Convergence of Big Data and Big Computer
Containers & HPC: What is the big deal?
Containing Without Containers
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