THE HIGH-END VIRTUALIZATION COMPANY SERVER AGGREGATION CREATING THE POWER OF ONE
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1 THE HIGH-END VIRTUALIZATION COMPANY SERVER AGGREGATION CREATING THE POWER OF ONE ScaleMP Introduction August, 2012
2 - 2 - Server Virtualization PARTITIONING Subset of the physical resources AGGREGATION Concatenation of physical resources Virtual Machines Virtual Machine or VMM or VMM or VMM or VMM or VMM
3 - 3 - ScaleMP Fact-sheet Founded in 2003 Creating the Power of One Software-based Sharedmemory System N x Servers N x 1 VM 1 World s largest SMP: 32,768 CPUs & 256 TB RAM Processor and interconnect agnostic Over 300 Installations Worldwide Norway Russia Product shipping since 2006 Channel-only business model, made available by T1 OEMs Canada US Denmark UK NL Belgium France Spain Brazil Poland German y Italy Israel Qatar India China Japan Korea Taiwan HK Vietnam Malaysi a >300 installations worldwide South Africa Australi a
4 - 4 - Selected Customers and lications Life Sciences Computational Chemistry AMBER CFOUR DOCK GAMESS Gaussian GOLD NWChem Octopus OpenEye FRED OpenEye OMEGA Schrödinger Jaguar Schrödinger Glide SCM ADF VASP Molecular Dynamics GROMACS MOLPRO NAMD OpenEye ROCS Schrödinger Desmond Turbomole Numerical Simulations Octave R MathWorks MATLAB Wolfram Mathematica Manufacturing Structural Mechanics ABAQUS/Explicit ABAQUS/Standard ALTAIR Radios ANSYS Mechanical LSTC LS-DYNA NASTRAN TNO Diana Fluid Dynamics ANSYS CFX AVL FIRE EXA PowerFlow EZNSS FLUENT (+TGrid) GeoDict MHD3D NASA Cart3D STAR-CCM+ STAR-CD Tgrid Other Comsol intrace OpenRT Energy IMEX Norsar 3D Paradigm GeoDepth Schlumberger ECLIPSE Bio-informatics 454/Newbler Abyss Bowtie CLC Bio FASTA HMMER Illumina mpiblast SOAPDenovo Velvet EDA Cadence HSPICE Mentor Quartus Silvaco SmartSpice Synopsys Weather Forecasting MITgcm MM5 ( & OpenMP) MOM4 WRF KX Wombat Finance and many more homegrown applications
5 - 5 - ScaleMP saves you ScaleMP provides you with By reducing CAPEX Utilizing industry standard servers to create more powerful SMP systems More performance Utilizing the latest and fastest or and memory technologies By lowering OPEX Simplifying small cluster management by reducing complexity Increased flexibility Providing cluster with ondemand SMP capability for mixed workload requirements
6 - Solutions Operating System Cluster management and server consolidation (large) System Compute and memory demanding applications Infrastructure Cloud enabler on-demand infrastructure for Cluster for SMP for Cloud OPEX savings CAPEX savings Flexibility (CAPEX and OPEX savings) System Infrastructure
7 - Solutions Operating System Cluster management and server consolidation (large) System Compute and memory demanding applications Infrastructure Cloud enabler on-demand infrastructure for Cluster for SMP for Cloud Unified computing platform Modular computing platform Elastic computing platform Reduce system administration cost by over 50% Reduce hardware acquisition cost by up to 66% Improve infrastructure efficiency by over 30% System Infrastructure
8 - Solutions Operating System for Cluster We are scientists, not IT experts. We need a system that works well with our software and frees up time to allow us to focus on what we consider to be the most demanding theoretical and modeling problems. We want the system to work flawlessly at a high level of performance so that we are unaware of it. By providing a single virtual system, the IT complexity is significantly reduced, and while having access to large shared memory for our most demanding larger simulations when needed. Dr. Carol Roberts Research Fellow in the Automotive Engineering lied Research Group at Coventry University (large) System for SMP Since our research requires a large amount of memory and a stable compute environment, we found it very difficult to complete our research with the local resources that were previously available to us. With, I am able to focus on my physics problems without worrying about IT management taking time away from my research. Prof. Jürgen Schnack A faculty member in the Department of Physics at Bielefeld University and head of the MMRG Infrastructure for Cloud provides us with unprecedented flexibility in our cloud infrastructure, which is incredibly valuable for the types of projects we are working on that often have very wide-ranging needs. Using traditional servers or virtualization we are only able to partition our physical systems to accommodate small workloads. Now, using for Cloud, we have the flexibility to dynamically aggregate those same servers to create private on-demand virtual SMP systems for demanding applications. Greg Keller Principal of R Systems, Inc. System Infrastructure
9 Server Consolidation Solution Technical-Computing Example Enterprise-Computing Example Virtual Machines Virtual Machines Virtual Machines Virtual Machines High-performance Storage High-performance Storage Virtual Machine Virtual Machine Persistent Storage Persistent Storage - 9 -
10 Legacy vs. On-demand Datacenter 128 nodes cluster: 128 x 16 (2,048) cores 4GB RAM / core Legacy Datacenter Fat node cluster: 4 x 512 (2,048) GB RAM Shared memory system: 256 cores 192 nodes cluster: 192 x 16 (3,072) cores 75%: 4GB RAM / core 25%: 8GB RAM / core On-demand Datacenter 256 cores VM 512GB RAM VM 756GB RAM VM Big-data applications Infrastructure
11 See performance info at
12 THE HIGH-END VIRTUALIZATION COMPANY SERVER AGGREGATION CREATING THE POWER OF ONE
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