DK Panda from Ohio State University presented this deck at the 2017 HPC Advisory Council Stanford Conference. “This talk will focus on challenges in designing runtime environments for exascale systems with millions of processors and accelerators to support various programming models. We will focus on MPI, PGAS (OpenSHMEM, CAF, UPC and UPC++) and Hybrid MPI+PGAS programming models by taking into account support for multi-core, high-performance networks, accelerators (GPGPUs and Intel MIC), virtualization technologies (KVM, Docker, and Singularity), and energy-awareness. Features and sample performance numbers from the MVAPICH2 libraries will be presented.”
“Explore how Singularity liberates non-privileged users and host resources (such as interconnects, resource managers, file systems, accelerators …) allowing users to take full control to set-up and run in their native environments. This talk explores Singularity how it combines software packaging models with minimalistic containers to create very lightweight application bundles which can be simply executed and contained completely within their environment or be used to interact directly with the host file systems at native speeds. A Singularity application bundle can be as simple as containing a single binary application or as complicated as containing an entire workflow and is as flexible as you will need.”
“Available on GitHub as Open Source, the Batch Shipyard toolkit enables easy deployment of batch-style Dockerized workloads to Azure Batch compute pools. Azure Batch enables you to run parallel jobs in the cloud without having to manage the infrastructure. It’s ideal for parametric sweeps, Deep Learning training with NVIDIA GPUs, and simulations using MPI and InfiniBand.”
A new site developed by Tin H compares the HPC virtualization capabilities of Docker, Singularity, Shifter, and Univa Grid Engine Container Edition. “They bring the benefits of container to the HPC world and some provide very similar features. The subtleties are in their implementation approach. MPI maybe the place with the biggest difference.”
“PushToCompute is the easiest and most advanced DevOps pipeline for high performance applications available today”, said Nimbix CTO Leo Reiter. “It seamlessly enables serverless computing of even the most complex workflows, greatly simplifying application deployment at scale, and eliminating the need for any platform orchestration or user interface work. Developers simply focus on their specific functionality, rather than on building cloud capabilities into their applications.”
In this special guest feature from Scientific Computing World, Wolfgang Gentzsch explains the role of HPC container technology in providing ubiquitous access to HPC. “The advent of lightweight pervasive, packageable, portable, scalable, interactive, easy to access and use HPC application containers based on Docker technology running seamlessly on workstations, servers, and clouds, is bringing us ever closer to the democratization of HPC.”
Today Bright Computing released Version 7.3 of Bright Cluster Manager and Bright OpenStack. With enhanced support for containers, the new release has enhanced integration with Amazon Web Services (AWS), improvements to the interface with the Ceph distributed object store and file system, and a variety of other updates that make deployment and configuration easier and more intuitive.
Today the FlyElephant team announced the release of the FlyElephant 2.0 platform for High Performance Computing. Versioin 2.0 enhancements include: internal expert community, collaboration on projects, public tasks, Docker and Jupyter support, a new file storage system and work with HPC clusters.
Today Univa announced the general availably of its Grid Engine 8.4.0 product. Enterprises can now automatically dispatch and run jobs in Docker containers, from a user specified Docker image, on a Univa Grid Engine cluster. This significant update simplifies running complex applications in a Grid Engine cluster and reduces configuration and OS issues. Grid Engine 8.4.0 isolates user applications into their own container, avoiding conflict with other jobs on the system and enables legacy applications in Docker containers and non-container applications to run in the same cluster.
In this TACC podcast, Joe Stubbs from the Texas Advanced Computing Centter describes potential benefits to scientists of open container platform Docker in supporting reproducibility, NSF-funded Agave API. “As more scientists share not only their results but their data and code, Docker is helping them reproduce the computational analysis behind the results. What’s more, Docker is one of the main tools used in the Agave API platform, a platform-as-a-service solution for hybrid cloud computing developed at TACC and funded in part by the National Science Foundation.”