Nersc franklin software

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Enter the email address you signed up with and we'll email you a reset link. Need an account? Click here to sign up. Download Free PDF. Shreyas Cholia. Hwa-Chun Lin. Wendy Lin. A short summary of this paper. Download Download PDF. Translate PDF. The integration of grid services on Franklin presented various challenges, including fundamental differences between the interactive and compute nodes, a stripped down compute-node operating system without dynamic library support, a shared-root environment and idiosyncratic application launching.

In our work, we describe how we resolved these challenges on a running, general-purpose production system to provide on-demand compute, storage, accounting and monitoring services through generic grid interfaces that mask the underlying system-specific details for the end user. Introduction elements on this system. We pay special attention to security, job management, storage, accounting and High performance computing HPC is becoming reporting services for the grid, while using the principal of increasingly parallel.

With clock speeds flattening out, least privilege to set up the software stack. The end result and power consumption playing a major role in CPU is a parallel OSG computing platform that can be design, multi-core and many-core technologies are seen as transparently accessed through generic grid software. This the most efficient way to increase overall performance allows users to access the underlying HPC resources and scalabilty.

While grid computing originally evolved without needing detailed knowledge of the Cray XT4 from a serial model of computing, it has become architecture, thus increasing overall usability through increasingly important for grids to be able to take transparent, service-oriented, cross-platform interfaces.

Because of massively parallel compute system available for scientific its unique architecture, the Cray XT4 system presents a research. In this white-paper, we discuss the challenges scientific researchers under the umbrella of the Office of presented by this environment and our solution for Science in the U. Department Of Energy. Open Science Grid 2. What is Grid Computing? The Open Science Grid OSG is a distributed Grid computing provides the ability to share and computing infrastructure for large-scale scientific aggregate heterogeneous, distributed computational research, built and operated by a consortium of capabilities and deliver them as a service.

This idea can be nanotechnology and physics use the OSG infrastructure to explained by the following principle: a uniform set of advance their research. In practice, Sites can make their resources available to the OSG grid computing does not make any sense unless the by installing a pre-defined service stack that is made underlying resources compute systems, data storage available as part of the Virtual Data Toolkit VDT.

This systems are integrated into a larger whole i. The Globus Toolkit includes services that support part, scientific computing grids seem to have converged the following operations: on a common interoperable infrastructure as seen in the 1.

Most of these grids use some flavor of the Globus 2. Globus Job submission and management through middleware stack or equivalent to provide a common GRAM GT2 and GT4 layer of services that expose the underlying resources 3.

This model accounting information back to the central OSG has been exploited by certain scientific applications, infrastructure. In order to do this the site must run a set of particularly in the high-energy physics community. There services: is little interaction between nodes running a subtask, and 1.

CEMon for resource descriptions each task can run to completion, without consideration for 2. RSV probes for resource availability other nodes in the system. This enables a single sign-on SSO type system, where the user is in possession of a The Globus jobmanager is the interface between the single identity certificate, and can authenticate to multiple generic Globus RSL and the underlying batch system.

It sites using the same certificate. SSO technology is crucial will translate RSL directives into batch system specific for access to multiple sites since managing multiple directives. The jobmanager also supports running fork credentials for each resource does not scale well on the commands directly on the grid node. This model assumes the presence of certain dynamically generated files to provide authorization and Franklin uses PBS to manage its job queues.

Any authentication information. We had to make the following contents of which are updated from their authoritative modifications to the pbs. Default to MPI jobs. Modify nodefile semantics, so that node selection is automatically handled by PBS. Authorization: 4.

Once a user has been authenticated 6. Identify the job executable and launch this has a valid certificate they need to have a valid mapping directly through aprun, instead of wrapping this in this file to be authorized to use the resource as a in a job script.

If no valid mapping exists, the request to access the resource is denied. For example a user may be settings by making minor modifications to the pbs. For example, one may wish to redirect grid jobs to a cores or a particular flavor of MPI. Monitoring and specific queue, or adjust the number of processors that are availability software plays a key role in matching users available to a job on a given node.

Similar modifications container that queries the local resources and reports back would be required if these were managing the batch to a central OSG collector in two formats - ReSS for queue. The CEMon information is based on the 7. In order to users when trying to select resources. GridFTP In order to support MPI and parallel jobs we need to needs to be able to make both incoming and outgoing extend the GLUE schema to publish additional attributes connections to work optimally, particularly when that are necessary to describe a parallel platform.

We then rely on more grid node for the cluster. By default CEMon will query sophisticated network monitoring techniques, such as the this node for system characteristics and report back to the BRO intrusion detection system, to ensure that the open OSG CEMon collector.

In the context of grid jobs, the Franklin GridFTP CEMon provides a mechanism to override this server provides an interface to stage-in input data and information, and to publish additional attributes in the stage-out the results and output files back to the client. See example 4. Example 4. Readers are encouraged to contact the authors Use of the above files, allows us to accurately of this paper for additional configuration and setup describe the underlying system architecture in the details.

Open Issues and Future Work While the PBS accounting records provide a comprehensive view of all jobs run, we need to be able to We have identified the following as open issues and separate any grid jobs from the local jobs. These binaries must be precompiled with static The Gratia probe is a python script that runs library linking. This also implies that compute periodically as a cron job on the CE node, collecting this node jobs cannot be wrapped in a script. However, since PBS is configured to run on a address this issue.

For our creating science gateway portals that will purposes we found that a nightly copy of the accounting encapsulate grid job submission, thus hiding records from the PBS node to the grid node, was most of the Globus RSL details from the user.

These attributes will need to be made Berkeley , USA. Ian Foster. Argonne external Franklin login node for grid access. From make the system more manageable. Aaron Harwood. Melbourne School of Engineering. Blaise Barney, Lawrence traceability. Livermore National Laboratory. Usually that's the local scratch file system or the Burst Buffer. NERSC places a very strong emphasis on enabling science and providing user-oriented systems and services. If you require additional support we encourage you to search our documentation for a solution before opening a ticket.

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