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1 To hear today s event : Listen via the audio stream through your computer speakers OR Listen via phone by clicking the teleconference request button in the Participants window You will not hear hold music while waiting for the event to begin. 1

2 High-Performance Cluster Configurations for ANSYS Fluid Dynamics ANSYS IT Solutions Webcast Series 2

3 IT Solutions for ANSYS - Webcast Series 2012 webcast series from ANSYS and our partners Our goal is to provide ANSYS customers with Recommendations on HW and system specification Best practice configuration, setup, management Roadmap and vision for planning Upcoming Topics Storage and Data Management Remote Access / Centralized HPC Workstation Refresh ROI Cloud, mobile platforms, 3

4 ANSYS Focus on IT Solutions IT is the enabler for more effective use of engineering simulation. High Fidelity Results Simulation allows engineering to know, not guess but only if IT can deliver infrastructure suited for ever larger mega -simulations Design Exploration / Optimization Product integrity requirements drive automated execution of 100 s of simulations, with important implications for the IT infrastructure Average HPC infrastructure for ANSYS in our largest customers is well over 10,000 cores and growing very fast 4

5 Today s Agenda and Speakers High-Performance Cluster Configurations for ANSYS Fluid Dynamics Best Practice Cluster System Specification Hari Reddy, Senior Technical Consultant, IBM IBM Solution Recommendations Guarav Chaudhry, X-Server WW Marketing, IBM William Lu, Product Management, Platform Computing, an IBM Company Question / Answer 5

6 Best Practice Cluster System Specification Hari Reddy, Senior Technical Consultant, IBM 6

7 Decision Points IBM IT Selection Guide for ANSYS Fluent Cluster Collection of nodes Blade, Rack, High Density Network/Interconnect Interconnect type Processors/Socket/CPU Cores per socket CPU Cores Clock, TURBO, Hyper-Threading Memory (DIMMS, Channels) Size and distribution Storage Types of storage Resource Management Recommended Configurations Small, Medium, Large 7

8 Clock Improvement rel to 2.67 GHz CPU Clock Decision point What CPU clock to use? Xeon X5600 clock range 2.67 GHz to 3.47 GHz (3.6 GHz) Always some improvement 5% to 10% well short of 30% or more clock ratio ANSYS Fluent specific Improves utilization of fixed number of licenses Recommendation Use Xeon X5675 (3.06 GHz, 95 watt) Consider other parts of cluster for further investment before choosing fastest clock Impact of CPU Speed on ANSYS Fluent Performance Processor: Xeon X5600 Series, 12 cores per node Hyper Threading: OFF, TURBO: ON Model: truck_14m (performance measure is improvement relative to CPU Clock 2.66 GHz) Clock ratio Number of Nodes Allocated to a Single Job 2.66 GHz 2.93 GHz 3.47 GHz IBM Corporation

9 TURBO Boost Improvement. TURBO Boost Improvement. Turbo Boost Decision point TURN TURBO Boost ON or OFF? Intel Turbo Boost Technology 2.0 automatically allows processor cores to run faster than the base operating frequency if it is operating below power, current, and temperature specification limits More benefit when less cores are active the workloads are moderate TURBO gives Quad-core slightly more boost than 6-core In larger clusters, as the workload is spread over more nodes there are more opportunities for 6-core processors to achieve similar boost in performance as quad-core Recommendation Turbo Boost should always be turned on to get more performance Evaluation of TURBO Boost on ANSYS FLUENT 14.0 Performance dx360 M3 (Intel Xeon x5670, 6 core, 2.93 GHz) Hyper Threading: OFF; Memory speed: 1333 MHz (performance measure is improvement relative to TURBO OFF) eddy_417k turbo_500k aircraft_2m sedan_4m truck_14m 8 Cores (Quad core processor) Number of Cores Used in a Node 12 Cores (6 core processor) Evaluation of TURBO Boost on ANSYS FLUENT 14.0 Performance dx360 M3 (Intel Xeon x5670, 2.93 GHz) 4X QDR IB Hyper Threading: OFF; Memory speed: 1333 MHz Model: Truck_14M (measurement is improvement relative to TURBO Boost OFF) 106% 104% 102% 100% Number of Nodes Allocated to a single job 8 cores (quad core/processor) 12 cores (6-cores/processor) IBM Corporation

10 Improvement due to Hyperthreading Hyper-threading Decision point 10 Use Hyper-Threading or NOT? Intel Hyper-Threading (HT) Technology uses processor resources more efficiently, enabling two threads to run on each core App see twice the cores HT improves ANSYS Fluent performance by a small % Requires double the number of licenses Recommendation If the license configuration permits HT should be used to improve HW and SW utilization If the number of licenses is limited HT is not an efficient utilization of the licenses and is not recommended (HT may turned on but is used by ANSYS Fluent) 120% 115% 110% 105% 100% 95% 90% 85% 80% Evaluation of Hyperthreading on ANSYS Fluent 14.0 Performance idataplex M3 (Intel Xeon x5670, 2.93 GHz) Networ: 4X QDR Infiniband TURBO BOOST: ON; Memory speed: 1333 MHz Model: Truck_14M HT OFF (12 threads on 12 physical cores) HT ON (24 threads on 12 physical cores) Number of Nodes Allocated to a Single job 2012 IBM Corporation

11 Fluent Rating (higher is better) Number of Sockets Decision Point Use 2-socket or 4-socket systems? 2-socket based system use X5600 series up to maximum of 12 cores per system 4-socket systems use e series up to a maximum of 40 cores per system; good scalability 32 cores (one 4-socket system) give performance equivalent to 24 cores (two 2-socket systems) Recommendation If the application can run within a single 4-socket Use 4-socket based cluster No high-speed network is needed Otherwise use clusters made out of 2- socket based system High speed network needed ANSYS/FLUENT 14.0 Performance on Two-socket and 4-Sock 2-Socket System: dx360 M3 (Intel Xeon x5670, 6C, 2.93 GHz) 4-Socket System: System x3850 (Xeon E7-8837, 8C, 2.23 GHz) Hyperthreading: OFF, TURBO: ON Model: Truck_14m socket (X5600) Node 4-Socket (E7-8837) Node Number of Sockets Fluent Rating = Number of Benchmark jobs that can be run in 24 hours (higher values are better) IBM Corporation

12 Fluent Rating (higher is better) Processor Core Density Selection Decision Point Use quad-core or 6-core processors? Processors come in Quad and Hex cores Quad core processors have higher per core cache and memory bandwidth ANSYS Fluent runs 20% to 30% faster on quad-core based systems Improves productivity of fixed number of licenses Costs 50% more than 6-core based systems for the same total core count Recommendation If the primary goal is to improve productivity of licenses Used quad-core based systems If the total cluster cost is a primary consideration Use 6-core based systems ANSYS/FLUENT 14.0 Performance Quad-core vs. 6 Core Processors IBM dx360 M3 (Intel Xeon x5670, 6C, 2.93 GHz), 4X QDR IB Hyperthreading: OFF, TURBO: ON Cores per job: 96; Nodes are equally loaded Models: Sedan_4m core Processor Quad-core Processor (8 nodes) (12 nodes) Processor Density Fluent Rating = Number of Benchmark jobs that can be run in 24 hours (higher values are better) IBM Corporation

13 Impact of Memory Speed Memory Configuration Decision Point What it the most efficient memory config? Faster memory improves performance of ANSYS Fluent about 10% Xeon 5600 Series Processors/Memory can run at the maximum speed of 1333 MHz Memory should be configured properly Otherwise the memory may run at slower speeds of 1066 MHz or even at 800 MHz Recommendation To operate at maximum speed all memory channels in both processors should be populated with equal amounts of memory memory guidelines specify that total memory is in discrete amounts of 24 GB, 36 GB, 48 GB per node. 24 GB memory per node is sufficient Impact of DIMM speed on ANSYS Fluent 14.0 Performance (Intel Xeon x5670, 6C, 2.93 GHz) Hyper Threading: OFF, TURBO: ON Each job uses all 12 cores 120% 115% 110% 105% 100% 95% 90% 85% 80% eddy_417k turbo_500k aircraft_2m sedan_4m truck_14m ANSYS/FLUENT Model 1066 MHz 1333 MHz IBM Corporation

14 FLUENT Rating Networks Decision Point 14 What network to use? Choices are 10 Gigabit and Infiniband Measures to evaluate Latency and bandwidth ANSYS Fluent is more sensitive to latency than bandwidth messages <1K can be as high as 80% on large networks ANSYS Fluent performance is comparable on both 10-Gigibit and Infiniband for small clusters Use direct access (e.g., iwarp) protocols for 10-Gigabit networks Infiniband will optimize application performance resulting in better scalability for larger clusters Recommendation Use 10G for small clusters Infiniband for larger clusters Network Protocol Latency (micro sec) Bandwidth (Mbytes/sec) Gigabit TCP/IP Gigabit iwarp X QDR Infiniband ANSYS/FLUENT 14.0 Performance dx360 M3 (Intel Xeon x5670, 6C 2.93 GHz) Network: Gigabit, 10-Gigabit, 4X QDR Infiniband Hyperthreading: OFF, TURBO: ON Models: truck_14m Number of Nodes Allocated to a Single Job VERBS or PSM 4X QDR IB 10-Gigabit Gigabit Fluent Rating = Number of Benchmark Jobs that can be run in 24 hours (higher values are better) IBM Corporation

15 Infiniband Network Decision Point What type of Infiniband network? Several types of IB networks DDR, QDR, FDR so far, EDR next Bandwidth is the main differentiator Some improvement in latency ANSYS Fluent is more sensitive to latency than bandwidth Performance of FDR may not be commensurate with its cost ANSYS Fluent does not seem to be sensitive to blocking in Infiniband Recommendation Use 4X QDR Infiniband A blocking factor of 2:1 or even 4:1 PSM for qlogic/intel VERBs for Voltaire/Mellanox 1:1 Non-Blocking 24 Compute Servers 2:1 Blocking Network Level 2 Level 1 Level 2 Level 1 24 Compute Servers 12-Port Switch Link connecting server to switch Link connecting switch elements Model Fluent Rating (Higher Values are better) Non-blocking 4:1 Blocking 8:1 Blocking Truck_14m Eddy_417k Source: Intel/qLogic 2012 IBM Corporation

16 Time Rel to 1 Node Run Total Cost rel to 1 Node Cluster Size (nodes) Decision Point How to determine number of nodes in the cluster? ANSYS FLUENT Price Performance Analysis Time Rel to 1 Node Run HW Cost Rel to 1 Node Depends on a number of factors: 100% 100% Business value, budget 90% 112 Environment (space, power etc) Cluster size can be highly scalable but not feasible due to total cost and other factors Recommendation Determine the Feasible Performance-Price Spectrum Eliminating some obvious infeasible choices 80% 70% 60% 50% 40% 30% 20% 10% 0% 46% 24% 12% % % 2% Number of Nodes Allocated to a Single Job 2% e.g. too big, too small, does not fit in the existing data center Conduct ROI Analysis on the promising candidates Feasible Performance-Price Spectrum IBM Corporation

17 Average total I/O time (sec) Storage Options The options are numerous Ranging from simple local disks to enterprise level storage Simple local file system to NFS to parallel file system (GPFS) One solution does not fit all NFS has some limitations but simple GPFS scalable and more complex A full webcast is planned to discuss the choices and recommendations Coming up in June ANSYS/FLEUNT I/O Performance on different storage solutions Cluster: dx360 M3 (Intel Xeon x5670, 2.93 GHz) Multiple simultaneous jobs - Each job using 96 cores Number of simultaneous jobs (each using 96 cores) NFS (1Gbit) Local File System GPFS (Infiniband) IBM Corporation

18 Westmere/Sandy Bridge Comparison Westmere Sandy Bridge Processor X5600 series E series Cores/processor 6 8 Cores/system Specfp Rate (single system) Specint Rate (single system) Fluent (single system) Source: Intel.com Pack more compute power (performance) 32 nodes (12 cores each) of Westmere 384 cores 32 nodes (16 cores each) Sandy bridge 512 cores ~40 to 50% faster (estimate) More licenses Reduce the size of cluster (cost) 32 nodes (12 cores each) of Westmere 384 cores 24 nodes (16 cores each) Sandy bridge 384 cores ~10% to 20% faster (estimate) Same number of licenses IBM Corporation

19 Cluster Packaging Decision Point Rack, Blade, High Density server? ANSYS Fluent performance is not affected by what packaging you select Total freedom to choose the right packaging based on other factors Data center environment Budget A Recommendation For low entry point (one or two servers) Use rack server Small and Medium Use blade configuration Large Use high density configuration Capability Rack Blade High Density ANSYS Fluent Density (# servers/sq ft floor space) Low Medium High Not a factor Node Capabilities Processors speeds Lots of I/O options, memory Top speed slightly more Much less Much less Not a factor Little less Little less Not a factor Integration Less Moderate High Not a factor IBM Corporation

20 Recap Cluster Selection Concepts Decision points Best Practices Precise where possible Guidelines otherwise ANSYS Fluent specific Take other coexisting apps into consideration Technology Transition Intel Westmere Intel Sandy Bridge Next Steps Translate into real products Manage the cluster resources IBM Corporation

21 IBM System Recommendations 21 Gaurav Chaudhry, System-X Worldwide Marketing, IBM William Lu, Product Management, Platform Computing, an IBM Company

22 SAS Connect Gigabit Recommended Configurations SMALL 2-Socket based Typical Users Several simultaneous single node jobs High speed interconnect is not required Size of each job under a few million cells Blade Center S (BC-S) with up to 6 HS23 blades HS23 - two Xeon E GHz 8C - 64GB File System/Storage is through up to 12 SAS Drives in BC-S NFS OS Support: RedHat, SuSe and Windows Access: through ANSYS Remote Simulation Manager, Platform LSF BladeCenter S Head Node/ File Server/ Compute Node1 Compute Node 2 Compute Node 3 Compute Node 6 Shared (NFS) BladeCenter S Storage IBM Corporation

23 SAS Gigabit Recommended Configurations Medium - 4-Socket based Typical Users Several simultaneous larger single node jobs High speed interconnect is not required Size of each job up to ~10 million cells System x Rack up to 10 x3750 M4 systems (up to 320 cores) X3750 M4 - four Xeon E GHz 8C - 128GB Network: Gigabit File System/Storage One of the x3750 M4 systems is file server Up to k RPM 1 TB SAS Drives NFS OS Support RedHat, SuSe and Windows Access: through ANSYS Remote Simulation Manager, Platform LSF System x Rack (25U) Head Node/ File Server/ Compute Node1 Compute Node 2 Compute Node 3 Compute Node 10 23

24 SAS 4X QDR Infiniband Gigabit Recommended Configurations Medium - 2-Socket based Typical Users Several simultaneous multi-node jobs Size of each job up to ~10 million cells Blade Center H (BC-H) with up to 14 HS23 blades (up to 224 cores) BladeCenter H Head Node/ File Server/ Compute Node1 HS23 - two Xeon E M4 2.6 GHz 8C - 64GB Network: Gigabit, Infiniband File System/Storage Compute Node 2 Compute Node 3 Compute Node 14 External DS3500 disk system with SAS connectivity NFS OS Support (NFS) Storage DS3500 RedHat, SuSe and Windows Access: through ANSYS Remote Simulation Manager, Platform LSF 24

25 SAS 4X QDR 2:1 blocking Gigabit Recommended Configurations Large - 2-Socket based Typical Users A large number of simultaneous multi-node ANSYS Fluent Solver Phase jobs One extreme-scale Solver Phase job using all nodes (using up to 1152 cores) The size of each job can range from a few million to hundreds of millions idataplex with up to 72 dx360 M4 nodes (up to 1152 cores) Dx360 M4 - two Xeon E GHz 8C 64 GB Network: Gigabit, Infiniband idataplex Head Node/ NFS File Server Compute Node 1 Compute Node 3 Compute Node 69 GPFS Server 1 GPFS Server 2 File System/Storage External disk DCS3700 with SAS connectivity GPFS (NFS and GPFS) Storage DCS3700 OS Support: RedHat, SuSe and Windows HPC Access: through ANSYS Remote Simulation Manager, Platform LSF 25

26 IBM BladeCenter HS23 Do more now in the datacenter you own today Benefits Lower cost Up to 30% savings for the solution 3 Enhanced performance 4 62% more compute power, 20% more VMs Simple setup Accelerate time to value for deployment Breakthrough networking flexibility Built in support for multiple technologies Complete investment protection Add capability to existing investments Key Features Integrated 10GbE Virtual Fabric for high speed networking Includes latest compute, network, and storage technology IBM FastSetup wizard tool for day 0 deployments Up to 18 networking ports of Ethernet, FCoE, and iscsi Support for existing chassis infrastructure 26 3 Using integrated Virtual Fabric solution vs. separate components. 4 Source: 2012 Intel Corp. ANSYS, Inc. November 9, 2012

27 IBM System x3650 M4 Expandable 2U for business critical workloads 27 Benefits Performance Leadership in its class Business flexibility Optimize for performance and cost Advanced networking Optimize for performance and connectivity Reliable IT Highest level quality to safely run your business Key Features 5 Source: Intel Corp. 6 IBM has 2012 been ANSYS, ranked Inc. #1 in x86 server November satisfaction 9, from 2012 Technology Business Research for 10 straight quarters. Up to 80% more performance 5 for customers critical applications and top scores for SAP, OLTP and virtualization 2.6x memory with up to 768 GB memory, full set of processors, 2.5 or 3.5 drives Twice the 1GbE ports and slotless 10GbE Virtual Fabric upgrade from multiple vendors and protocols #1 customer satisfaction from TBR 6 due to features like Predictive Failure Analysis and Light Path Diagnostics

28 IBM System x3550 M4 Dense 1U for business critical workloads Benefits High Performance Run more applications than ever before Business flexibility Optimize for performance and cost Advanced networking Optimize for performance and connectivity Reliable IT Leadership quality for distributed environments running critical workloads Key Features Up to 80% more performance for customers critical applications for up to 24:1 consolidation of 3 year old servers¹ 2.6x memory with up to 768 GB memory, full set of processors, 2.5 or 3.5 drives Twice the 1GbE ports and slotless 10GbE Virtual Fabric upgrade from multiple vendors and protocols #1 customer satisfaction from TBR² due to features like Predictive Failure Analysis and Light Path Diagnostics 28 7 Source: Intel Corp. and the IBM Systems Consolidation Evaluation Tool.

29 IBM System x3500 M4 Ideal for distributed locations Benefits High Performance Run more applications than ever before Business flexibility Optimize for performance and cost Advanced networking Optimize for performance and connectivity Room to grow Massive internal storage and I/O for distributed environments Key Features Up to 80% more performance for customers critical applications for up to 24:1 consolidation of 3 year old servers 8 4x memory with up to 768 GB memory, full set of processors, 2.5 or 3.5 drives Twice the 1GbE ports and 10GbE Virtual Fabric upgrade from mulitple vendors and protocols Up to hard drives with flexible RAID in a tower or 5U rack design 29 8 Source: 2012 Intel Corp. ANSYS, and Inc. the IBM Systems November Consolidation 9, 2012 Evaluation Tool.

30 IBM System x idataplex dx360 M4 High performance for power and cooling constrained environments Benefits High Performance Run more applications than ever before Designed for HPC Outstanding performance for computationally intensive workloads High efficiency Up to 40% efficiency advantage over air cooled systems 9 Business flexibility Outstanding flexibility and performance for support of high performance solutions Key Features Up to 120% more performance for HPC applications¹ Up to 4 GPUs per chassis, 1.5x memory capacity, slotless InfiniBand networking Industry leading node level optional direct warm water cooling technology Available slotless InfiniBand or 10Gb Ethernet upgrade with a variety of vendors and protocols 30 9 Compared 2012 with ANSYS, idataplex Inc. dx360 M4 November systems without 9, 2012 warm-water cooling.. 10 Source: Intel Corp.

31 Storage IBM Services Interconnect Management Software Servers Operating Systems IBM Intelligent Cluster Integrated Solution GPFS 1/10/40Gb Eth QDR/FDR IB System x servers OEM IO Interconnects Storage Cabling Integration, configuration and testing Delivery, on-site setup and support 31 Intelligent cluster combines all hadavid G Walker/Raleigh/Contr/IBM@IBMUSrdware, software, services and support into a single integrated product offering, providing clients the benefit of a single point-of-contact for the entire cluster that is easily deployed and managed

32 Management Software for System x Servers Fully integrated cluster management software for ease of deployment, ease of use, and ease of operation 32

33 Integration with ANSYS applications ANSYS Remote Solver Manager Submit and manage ANSYS FLUENT jobs through ANSYS RSM with the integration of Platform LSF and Platform MPI Remote Visualization Integration Schedule and launch remote visualization sessions using Platform LSF and Platform Application Center 33

34 Wrap Up / Next Steps Specifying a cluster for ANSYS simulation can be challenging; Let ANSYS and IBM help you succeed! Contact us: hpcinfo@ansys.com hnreddy@us.ibm.com gaurav@us.ibm.com wlu@ca.ibm.com And look for our invitation to download the IBM IT Guide for ANSYS Fluent Customers 34

35 Confidence by Design Workshops Newark April 19 Orlando May 2 Minneapolis May 8 Seattle May 15 Chicago June 14 Phoenix April 26 Salt Lake City May 4 San Diego May 8 Boston May 17 Houston June 20 Denver May 2 Baltimore May 7 San Jose May 10 Detroit June 5 35 Register Now:

36 ANSYS Training Interested in Live Training Sessions with ANSYS Experts? Training classes are offered both locally and online. View the entire schedule at: Topics include: Introduction to ANSYS Mechanical Introduction to ANSYS DesignModeler Introduction to ANSYS FLUENT Introduction to ANSYS Icepak Introduction to ANSYS HFSS Introduction to ANSYS Explicit Dynamics Introduction to ANSYS ICEM CFD And Many More 36

37 To Ask a Question: Click on the Q&A tab in the WebEx Toolbar Webinar Recording: Available in one week s time in the ANSYS Resource Library at 37

38 System x Trademarks and disclaimers Intel, Intel logo, Intel Inside, Intel Inside logo, Intel Centrino, Intel Centrino logo, Celeron, Intel Xeon, Intel SpeedStep, Itanium, and Pentium are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries./ Linux is a registered trademark of Linus Torvalds in the United States, other countries, or both. Microsoft, Windows, Windows NT, and the Windows logo are trademarks of Microsoft Corporation in the United States, other countries, or both. IT Infrastructure Library is a registered trademark of the Central Computer and Telecommunications Agency which is now part of the Office of Government Commerce. ITIL is a registered trademark, and a registered community trademark of the Office of Government Commerce, and is registered in the U.S. Patent and Trademark Office. UNIX is a registered trademark of The Open Group in the United States and other countries. Java and all Java-based trademarks and logos are trademarks or registered trademarks of Oracle and/or its affiliates. Other company, product, or service names may be trademarks or service marks of others. Information is provided "AS IS" without warranty of any kind. The customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics may vary by customer. Information concerning non-ibm products was obtained from a supplier of these products, published announcement material, or other publicly available sources and does not constitute an endorsement of such products by IBM. Sources for non-ibm list prices and performance numbers are taken from publicly available information, including vendor announcements and vendor worldwide homepages. IBM has not tested these products and cannot confirm the accuracy of performance, capability, or any other claims related to non-ibm products. Questions on the capability of non-ibm products should be addressed to the supplier of those products. All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. Some information addresses anticipated future capabilities. Such information is not intended as a definitive statement of a commitment to specific levels of performance, function or delivery schedules with respect to any future products. Such commitments are only made in IBM product announcements. The information is presented here to communicate IBM's current investment and development activities as a good faith effort to help with our customers' future planning. Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon considerations such as the amount of multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve throughput or performance improvements equivalent to the ratios stated here. Prices are suggested U.S. list prices and are subject to change without notice. Starting price may not include a hard drive, operating system or other features. Contact your IBM representative or Business Partner for the most current pricing in your geography. Photographs shown may be engineering prototypes. Changes may be incorporated in production models. IBM Corporation All rights reserved. References in this document to IBM products or services do not imply that IBM intends to make them available in every country. Trademarks of International Business Machines Corporation in the United States, other countries, or both can be found on the World Wide Web at IBM Corporation

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