1. P AR T EC Cluster Competence The Communication- and Management Software Company for HIGH PERFORMANCE CLUSTER COMPUTING Dr. Jochen Krebs Member of the Executive Board Founder of

2. P AR T EC Cluster Competence 4/26/2014 Jochen Krebs 2 Company Background 1995 Presentation of the ParaStation Hardware. –Development of the ParaStation Software. 1998 Presentation of ParaStation2 on top of MyriNet. 1999 Founding of ParTec AG. –Spin-Off from the Karlsruhe University. 2001 Presentation of the ParaStation3 software. 2003 April: Presentation of ParaStation 4. 2003 June: Introduction of Cluster Competence Center

3. P AR T EC Cluster Competence 4/26/2014 Jochen Krebs 3 To establish strong relationships with leading software and hardware providers, Partec has founded the Primary goals are: To offer complete product- and service portfolio To provide qualified consultancy and support in all phases of the selling cycle To enable access to state-of-the-art cluster technology To ensure fast and efficient node assembly and integration with experienced system integrators To perform complete system testing before delivery To explore hardware and application optimization options To ensure system and software manageability Cluster Competence Center

4. P AR T EC Cluster Competence 4/26/2014 Jochen Krebs 4 ALiCE Wuppertal Alpha Linux Cluster Rang 369 in der Top 500 Liste November 2001 128 Compaq DS10 Workstations Universität Hamburg – Physnet Rechenzentrum 16 Compaq Alpha 21164A Ruhr-Universität Bochum – Lehrstuhl für Energieanlagen 16 Compaq Alpha 21164A Bundesamt für Sicherheit in der Informationstechnik Bonn 72 Compaq Alpha 21164A Astronomisches Recheninstitut Heidelberg 10 Intel Dual Xeon Gesellschaft f ü r Biotechnologische Forschung Braunschweig 17 AMD Dual Athlon Universit ä t Halle-Wittenberg - Institut f ü r Informatik 32 Intel Dual Xeon Universit ä t D ü sseldorf - Institut f ü r Theoretische Chemie 23 Intel Dual Xeon ParaStation ® Reference Installations (selected sites)

5. P AR T EC Cluster Competence 4/26/2014 Jochen Krebs 5 Real Performance Improvements through faster network communication More usable compute cycles through reliable cluster operation Improved job management capabilities esp. for large node counts and in multiuser environments Better error tracking and recovery Reliable communication protocols Scalable software architecture Dedicated service and support Why our customers buy Parastation

6. P AR T EC Cluster Competence 4/26/2014 Jochen Krebs 6 ParaStation 3...das Management Node management Hardware independence and security by virtual node concept Hardware independence and security by virtual node concept ParaStation 3: The Cluster Management

7. P AR T EC Cluster Competence 4/26/2014 Jochen Krebs 7 ParaStation 4...die Architektur Userspace Kernel SHMMyrinetInfiniBand TCP/IP App MPI Ethernet PSPort4 App MPI Socket App MPI App P4Sock ParaStation 4: Architecture Hardware Abstraction Layer

8. P AR T EC Cluster Competence 4/26/2014 Jochen Krebs 8 ParaStation: Communication

9. P AR T EC Cluster Competence 4/26/2014 Jochen Krebs 9 ParaStation: Communication

10. P AR T EC Cluster Competence 4/26/2014 Jochen Krebs 10 LINPACK on Parastation Relative Speedup (Measured by GNS Systems)

11. P AR T EC Cluster Competence 4/26/2014 Jochen Krebs 11 StarCD on Parastation 11% Improvement 35 % Improvement (Measurements by GNS Systems) Relative Runtime Reduction

12. P AR T EC Cluster Competence 4/26/2014 Jochen Krebs 12 Vectis on Parastation (Measurements by GNS Systems) Relative Runtime Reductions vs. LAM MPI over TCP/IP

13. P AR T EC Cluster Competence 4/26/2014 Jochen Krebs 13 LS-DYNA on Parastation LS-DYNA mpp970 Chrysler Neon 30 msec (Measurements by Fujitsu Siemens) Relative Runtime Reduction vs. LAM MPI Nodes x Procs/Node

14. P AR T EC Cluster Competence 4/26/2014 Jochen Krebs 14 ParaStation...warum? Conclusions Use Parastation to get more out of your cluster: More performance More performance No waste of compute cycles No waste of compute cycles Proven stability and scalability in large multiuser environments Proven stability and scalability in large multiuser environments Easy cluster administration Easy cluster administration Better support by dedicated technical experts and developers Better support by dedicated technical experts and developers Reduced software complexity Reduced software complexity Mixed cluster support Mixed cluster support High degree of flexibility High degree of flexibility Better error detection and – correction Better error detection and – correction Well suited for production environments Well suited for production environments

15. P AR T EC Cluster Competence 4/26/2014 Jochen Krebs 15