Programming with OmpSs?-2

Table of contents:

• Introduction
• Quick User Guide

Introduction

OmpSs?-2 is a programming model composed of a set of directives and library routines that can be used in conjunction with a high-level programming language in order to develop concurrent applications. Its name originally comes from two other programming models: OpenMP and StarSs?. The design principles of these two programming models constitute the fundamental ideas used to conceive the OmpSs? philosophy.

OmpSs?-2 thread-pool execution model differs from the fork-join parallelism implemented in OpenMP. A task is the minimum execution entity that can be managed independently by the OmpSs?-2 runtime scheduler. Task dependences let the user annotate the data flow of the program and are used to determine at runtime if the parallel execution of two tasks may cause data races.

File Systems

On the DEEP-EST system, three different groups of filesystems are available:

• the ​JSC GPFS filesystems, provided via ​JUST and mounted on all JSC systems;

• the DEEP-EST (and SDV) parallel BeeGFS filesystems, available on all the nodes of the DEEP-EST system;

• the filesystems local to each node.

The users home folders are placed on the shared GPFS filesystems. With the advent of the new user model at JSC (​JUMO), the shared filesystems are structured as follows:

• $HOME: each JSC user has a folder under /p/home/jusers/, in which different home folders are available, one per system he/she has access to. These home folders have a low space quota and are reserved for configuration files, ssh keys, etc.

• $PROJECT: In JUMO, data and computational resources are assigned to projects: users can request access to a project and use the resources associated to it. As a consequence, each user has a folder within each of the projects he/she is part of. For the DEEP project, such folder is located under /p/project/cdeep/. Here is where the user should place data, and where the old files generated in the home folder before the JUMO transition can be found.

The DEEP-EST system doesn't mount the $SCRATCH and $ARCHIVE filesystems, as it is expected to provide similar functionalities with its own parallel filesystems.

The following table summarizes the characteristics of the file systems available in the DEEP-EST and DEEP-ER (SDV) systems:

Stripe Pattern Details

It is possible to query this information from the deep login node, for instance:

manzano@deep $ fhgfs-ctl --getentryinfo /work/manzano
Path: /manzano
Mount: /work
EntryID: 1D-53BA4FF8-3BD3
Metadata node: deep-fs02 [ID: 15315]
Stripe pattern details:
+ Type: RAID0
+ Chunksize: 512K
+ Number of storage targets: desired: 4

manzano@deep $ beegfs-ctl --getentryinfo /sdv-work/manzano
Path: /manzano
Mount: /sdv-work
EntryID: 0-565C499C-1
Metadata node: deeper-fs01 [ID: 1]
Stripe pattern details:
+ Type: RAID0
+ Chunksize: 512K
+ Number of storage targets: desired: 4

Or like this:

manzano@deep $ stat -f /work/manzano
  File: "/work/manzano"
    ID: 0        Namelen: 255     Type: fhgfs
Block size: 524288     Fundamental block size: 524288
Blocks: Total: 120178676  Free: 65045470   Available: 65045470
Inodes: Total: 0          Free: 0

manzano@deep $ stat -f /sdv-work/manzano
  File: "/sdv-work/manzano"
    ID: 0        Namelen: 255     Type: fhgfs
Block size: 524288     Fundamental block size: 524288
Blocks: Total: 120154793  Free: 110378947  Available: 110378947
Inodes: Total: 0          Free: 0

See ​http://www.beegfs.com/wiki/Striping for more information.

Additional infos

Detailed information on the BeeGFS Configuration can be found ​here.

Detailed information on the BeeOND Configuration can be found ​here.

Detailed information on the Storage Configuration can be found ​here.

Detailed information on the Storage Performance can be found ​here.

Notes

• The /work file system which is available in the DEEP-EST prototype, is as well reachable from the nodes in the SDV (including KNLs and KNMs) but through a slower connection of 1 Gig. The file system is therefore not suitable for benchmarking or I/O task intensive jobs from those nodes

• Performance tests (IOR and mdtest) reports are available in the BSCW under DEEP-ER → Work Packages (WPs) → WP4 → T4.5 - Performance measurement and evaluation of I/O software → Jülich DEEP Cluster → Benchmarking reports: ​https://bscw.zam.kfa-juelich.de/bscw/bscw.cgi/1382059

• Test results and parameters used stored in JUBE:

user@deep $ cd /usr/local/deep-er/sdv-benchmarks/synthetic/ior
user@deep $ jube2 result benchmarks

user@deep $ cd /usr/local/deep-er/sdv-benchmarks/synthetic/mdtest
user@deep $ jube2 result benchmarks