LLamasoft K2 Enterprise 8.1 System Requirements

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1 Overview... 3 RAM... 3 Cores and CPU Speed... 3 Local System for Operating Supply Chain Guru... 4 Applying Supply Chain Guru Hardware in K2 Enterprise... 5 Example... 6 Determining the Correct Number of Design Engines for K2 Enterprise... 7 Initial Design Engine Initial Recommendation... 8 Future Design Engine Recommendation... 8 Summary... 8 LLamasoft K2 Enterprise 8.1 System 1

2 2 LLamasoft K2 Enterprise 8.1 System

3 System System Overview To understand System for K2 Enterprise, you must first understand how requirements are determined for local machines running Supply Chain Guru. RAM Although Supply Chain Guru requires a minimum of 4 GB of RAM to run on a local machine, the actual amount of RAM installed must be sufficient to also accommodate the operating system and any other open applications. Also, the size of the models must be considered. This section contains a discussion of how the system requirements for this product are determined. 4 GB Can run Supply Chain Guru; however, no allowance for RAM required by operating system or other open applications. Can affect Supply Chain Guru performance and, in some cases, cause the application to become unstable when models are larger than the basic tutorial model. 8 GB Can run most models locally, while still allowing sufficient memory for other programs. 16 GB Can run larger and more complex models in addition to other programs. LLamasoft Recommendation: Upgrade all users to either 8 or 16 GB of RAM, regardless of any K2E considerations. Cores and CPU Speed The total time of an optimization run includes the actual solve time and the time for the pre- and post-processing steps that occur during the run. In Supply Chain Guru, the actual solve time for Network Optimization is determined by the number of cores and the CPU speed of the solving computer. Typical local computers might have 2-4 logical processors running at a speed of 2.9 GHZ. This configuration is sufficient to run small to medium sized models fairly quickly. Higher-end machines can have 8+ logical processors running at GHZ, and will increase performance of the actual solve time portion of a model run. The building, pre-solving, and output reporting times that are always part of a Network Optimization run are constrained mainly by disk IOPS (input/output operations per second). For models with a solve time that represents only a small portion the total optimization run, the core count will have almost no impact and will be bound by the IOPS of the hard drive. When disk IOPS are the constraint, models generally run faster on an SSD hard drive, which is 3 times faster than a traditional SD drive. Increased core count and CPU speed are most effective for reducing total optimization run times on models with a long solve time of several hours to several days. The reduction on total optimization run times for models with a shorter solve time is far less dramatic. LLamasoft K2 Enterprise 8.1 System 3

4 System Simulation runs are different than other model run types. They are affected only by CPU speed, because simulation uses only 1 core. As a sequential solve, it cannot be split and run in parallel on multiple cores. In this case, a CPU running at a higher GHZ will have a greater effect; however, similar to Network Optimization, that effect is not as dramatic on models with shorter run times. Local System for Operating Supply Chain Guru Supply Chain Guru works on Window-based systems and can take advantage of specific characteristics of your system s hardware, especially during optimization and simulation. The hardware characteristics that offer the most benefit can depend on the size and complexity of the models being run. Models can be grouped into three general categories, and described in the following table: Simple Models Detailed Models Large Models Model Elements <20 Sites, <50 Products, <10k Demand points, Single Time Period, Some alternatives in sourcing or transportation Sites, Products, 10k-50k demand points, multiple alternatives to sourcing or transportation 500+ sites, 300+ products, 50k+ Demand points, many variations on transportation, sourcing, or many time periods Model Size <30MB 30MB-100MB >100MB Technologies Basic Optimization, Very Basic Simulation Intermediate Optimization, Basic Simulation Advanced Optimization, Intermediate or Advanced Simulation The following chart lists the minimum system requirements for the three model categories: Minimum System (Simple Models) Recommended System (Detailed Models) Recommended System (Large Models) Computer 2.0 GHz Pentiumcompatible PC PC with 3 GHz processor PC with 3 GHz (or greater) processor CPU Intel i5 Processor Intel i7 Processor Intel Xeon Processor, minimum 3GHz 4 LLamasoft K2 Enterprise 8.1 System

5 Applying Supply Chain Guru Hardware in K2 Enterprise Minimum System (Simple Models) Recommended System (Detailed Models) Recommended System (Large Models) Operating System Microsoft Windows Service Pack requirements: XP 32-bit: Service Pack 3 XP 64-bit: Service Pack 2 Vista: Service Pack 1 Windows 7: no Service Pack requirements Windows 8: no Service Pack requirements Windows 7 64-bit Windows 7 64-bit Framework Framework 3.5 SP1 and Framework 4.0 must be installed Framework 3.5 SP1 and Framework 4.0 must be installed Framework 3.5 SP1 and Framework 4.0 must be installed RAM 3 GB RAM minimum 8 GB RAM 16 or 32 GB RAM Hard Disk 250 GB 7200RPM 100 GB disk space free (1 GB for installation) 500 GB RPM or 240 GB SSD 100 GB disk space free (1 GB for installation) 2x 500 GB 7200 RPM or 480 GB PCI-e SSD 100 GB disk space free (1 GB for installation) Internet Connectivity Yes Internet connectivity is required to make use of the geocoding and routing providers Esri and Bing, and for retrieving RateWare XL online data. Yes Internet connectivity is required to make use of the geocoding and routing providers Esri and Bing, and for retrieving RateWare XL online data. Yes Internet connectivity is required to make use of the geocoding and routing providers Esri and Bing, and for retrieving RateWare XL online data. License Server Connectivity If you have roaming or floating Supply Chain Guru licenses, you must have connectivity to the license server machine. If you have roaming or floating Supply Chain Guru licenses, you must have connectivity to the license server machine. If you have roaming or floating Supply Chain Guru licenses, you must have connectivity to the license server machine. Applying Supply Chain Guru Hardware in K2 Enterprise Generally speaking, the logic used to determine hardware requirements for running Supply Chain Guru locally also apply to K2 Enterprise. LLamasoft K2 Enterprise 8.1 System 5

6 System Example Suppose you have the following setup: Local Machine Design Engine 1 Design Engine 2 RAM 16 GB 48 GB 48 GB Logical processors CPU 2.5 GHZ SD 2.5 GHZ SD 3.07 GHZ SD Hard Drive SSD Raid SDD** Raid SDD** Using this example, if a model is run on the local machine, and it expands to larger than 16 GB in RAM, then it can run on Design Engine 1 in K2 Enterprise. If the model does not expand beyond 16 GB, then running it on the local machine will work, and it will potentially run faster that on Design Engine 1. Additionally, although Design Engine 2 has a slightly faster CPU, running a small model on this server will not make much difference on smaller models. Now, consider the following alternative setup for Design Engine 2 on a K2 Enterprise server: RAM 48 GB Logical processors 8 CPU Drive 3.07 GHZ 7200 RPM SD This configuration ensures the ability to run relatively large and complex network optimization models. When weighing the choice between running models locally or on a more powerful Design Engine, consider the following: For small models, the solve times on the Design Engine are likely about the same or slightly longer than on the local machine, due to the data transfer time between the K2 Enterprise servers. The improved hardware specifications do not have a dramatic impact on solve time, because the models are so small. Larger models that cannot solve on 8-16 GB RAM local machine are forced to run on K2 Enterprise, due to the local machine s RAM constraints. Larger models that can solve on the local machine, but take a long time to solve, may see an improvement to the solve time when run on K2 Enterprise, provided the hardware specifications of the Design Engine being used exceed those of the local machine. Note: Server hard drives typically are set up in a RAID configuration, in which several physical drives can all read/write simultaneously to increase the IOPS of spinning drives. The net effect is that RAID SD hard drives are faster than a local SD hard drive, because a local machine is only running one physical drive at a time. Keep in mind that SSD drives are usually still much faster than RAID clusters of spinning drives. 6 LLamasoft K2 Enterprise 8.1 System

7 Applying Supply Chain Guru Hardware in K2 Enterprise Determining the Correct Number of Design Engines for K2 Enterprise The number of Design Engines required is determined by the average model run time, number of users, and number of scenarios run per model. These factors vary largely in a real day-to-day environment. The following chart is an example of various numbers of models, scenarios, and users who in theory would all be submitting a batch to run on K2 Enterprise simultaneously. This example assumes Design Engines are available 24 hours per day. Number Model Run of Time(Min) Scenarios Process Time (Min) Number of users Total Batch Process Time (Hrs) Max waiting time to return all model results (Hrs) per number of Design Engines LLamasoft K2 Enterprise 8.1 System 7

8 System Summary Initial Design Engine Initial Recommendation Large Design Engines - 8 Thread 3+Ghz CPU, 64 GB RAM, 500 GB SSD This is based on a hypothetical extra-large test model. 10 Small Design Engines 4 Thread 2.5 Ghz CPU, 16 GB RAM, 250 GB SSD This is based on the Large Model section from the previous Supply Chain Guru recommendation. Future Design Engine Recommendation If all models reach the extra-large size requirement, it is recommended that you discontinue using the small design engines and incorporate additional large design engines to keep the maximum wait time near the desired duration. If model run times greatly exceed the desired run time, and it is believed this is due to hardware limitations, additional investigation can be performed to reassess the design engine size. Refer to the K2E Hardware troubleshooting guide. Models can be run locally, provided that they do not require more RAM than is installed on the local machine. If more than one model or scenario is run at one time, the total RAM used cannot exceed the RAM on the local machine. Machines with SSDs run faster than machines with SDs. Users should be able to share Design Engines on K2 Enterprise to reduce overall wait time if running a long list of models, but the individual model/scenario run times may not be much different between K2 Enterprise and local machines. When running models on machines with 4 GB of RAM, you should be able to run them on K2 Enterprise. However, you may struggle to run them locally; in fact, you may experience instability and crashes by just having Supply Chain Guru open or trying to connect to K2 Enterprise. Should this occur, you may have to upgrade to 8GB RAM. You can also share the Design Engines, which reduce the total available time on K2 Enterprise for other users such as planners, etc. Using 3 Design Engines that match our example specifications, a modeler can perform 3 simultaneous runs/scenarios of Network Optimization or Simulation on K2 Enterprise, and 1 run/scenario on a local machine (provided the local machine has more than 4 GB of RAM as stated previously). 8 LLamasoft K2 Enterprise 8.1 System

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