Resource centre Szeged SC

From HP-SEE Wiki

Jump to: navigation, search
Szeged SC


Resource centre Szeged SC

Szeged supercomputer is a fat-node HP cluster which is a very sophisticated type of blade technology CP4000BL. It is content the latest AMD Opteron 6174 type processors with 12-core Magny-Cours. Total number of cores is 2304. It is using Infiniband network for the internal high-performance communication. The machine content 6 TByte memory and comes with a quarter-sized Pbyte storage subsystems and high-end visualization as well. The machine computing power is 14 Tflops, and it provides extremely high energy-efficiency. This unique super computer run it very effectively in the mixed parallel programming paradigms and each node is a powerful 48 cores SMP computer.

GPU cluster at Szeged


Parallel programming models

Supported parallel programming paradigms are MPI, OpenMP, PVM and Hybrid.

Development software

Languages C/C++ ; gcc compiler toolchain, MPI libraries, profiling and debugging tools.

Infrastructural services

User administration, authentication, authorization, security

Users can access it with SSH public key authentication

Workflow and batch management

Open Grid Scheduler 2011.11p1 local resource manager

Distributed filesystem and data management

There are two filesystems available to users (/home, /scratch) where /scratch is for temporary files created during job execution and it is shared beetween the worker nodes.

Accounting and resource management

Sun Grid Engine's accounting

Operational monitoring

Operational monitoring is performed using various tools: Nagios, Munin

Helpdesk and user support

User support is provided through dedicated hu_niifi queue at HP-SEE Helpdesk

Libraries and application tools

1) Software libraries:


2) Development and application software available:

AMD compiler, GNU compilers (gcc, g++, gfortran), Oprofile, GDB

More detailed description about the current software stack:

Access the Szeged SC

If you want to have access to Szeged SC you have to register in the HP-SEE Resource Management System at For more information on using the Resource Management System consult Resource management system.

Frontend machine:

Here you can read about the usage of the Hungarian supercomputers:


HP-SEE researchers should use the help desk - If you don’t have an account send mail to Ioannis Liaboti - iliaboti at grnet dot gr.

Personal tools