Product keys are required for installation of Autodesk products and are used to differentiate products that are both sold independently and as part of a product suite. For example, installing AutoCAD 2013 as a point product requires product key 001E1, but installing AutoCAD 2013 from the Autodesk Product Design Suite Ultimate 2013 requires product key 781E1. The same version of AutoCAD is in both software packages but the product key differentiates one package from the other.
We already have a post with the new product keys for Autodesk 2014 products but, for those of you using earlier versions of the software, that post is completely irrelevant. In this post, you can find all product keys for Autodesk 2010, 2011, 2012 and 2013 products. Why are product keys so important you ask? They are required for installation of Autodesk products and are used to differentiate products that are both sold independently and as part of a product suite.
We have been getting some calls for Moldflow Ultimate download. It is confusing but the Moldflow Advisor/Insight/Synergy Ultimate 2014 is listed in the Subscription Center is the same.exe used for to install the entire Moldflow family of products. Basically, the license and product key will determine the product level you can install and run. i.e. Standard, Premium or Ultimate.
I actually installed AutoCAD 2012 and Revit Archecture 2012 on the same computer. I then, generated one Building Design Suite 2013 license and when I launched the second product and there was a -4 error which means that there is not enough licenses available on the license server.
Used by millions around the world, students can take advantage of our free engineering software for homework, capstone projects and student competitions. Our renewable products can be downloaded at no cost by students across the globe and installed on any supported MS Windows 64-bit machine.
Ansys Student is our Ansys Workbench-based bundle of Ansys Mechanical, Ansys CFD, Ansys Autodyn, Ansys SpaceClaim and Ansys DesignXplorer. Ansys Student is downloaded by hundreds of thousands of students globally and includes some of our most-used products commercially. Users of this product may also find value in downloading our Ansys LS-DYNA Student product.
Find Serial Numbers and Product Keys in Autodesk Account: Your Serial Number and Product Key are displayed in your Autodesk Account in the product tray on the Products & Services page and also again in the Software Download window. Note about serial number visibility in Autodesk Account: Only account administrators, such as Contract Managers and Software Coordinators, and Named Users with assigned software benefits will see serial numbers in Autodesk Account. You are the account administrator if you purchased a software subscription using your Autodesk Account or were assigned the role of Contract Manager or Software Coordinator by your company. If you do not see the software you wish to activate in your Autodesk account or see the message "Contact your admin for serial numbers," you need to contact the contract administrator. Only an administrator can assign you as a Named User or End User and give you permissions to download and activate the software.
If, for whatever reason, you cannot locate your product key, there is another method: 1. Using your installation media, (USB key, DVD, download folder, etc.) navigate to the location of the setup.exe file for your Autodesk product. 2. In that folder, look for a file named MID.txt, MID01.txt, MID02.txt or some variation on that name. 3. Open this file in notepad and verify that the product name is what you expected it to be. 4. The first five characters of the part number should also be the product key for that product.
Precipitation measurement produced by the Global Precipitation Measurement (GPM) Dual-frequency Precipitation Radar (DPR) plays an important role in researching the water circle and forecasting extreme weather event. Compare with its predecessor - Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR), GRM DPR measures precipitation in two different frequencies (i.e., Ku and Ka band), which can provide detailed information on the microphysical properties of precipitation particles, quantify particle size distribution and quantitatively measure light rain and falling snow. This paper presents a novel Machine Learning system for ground-based and space borne radar rainfall estimation. The system first trains ground radar data for rainfall estimation using rainfall measurements from gauges and subsequently uses the ground radar based rainfall estimates to train GPM DPR data in order to get space based rainfall product. Therein, data alignment between space DPR and ground radar is conducted using the methodology proposed by Bolen and Chandrasekar (2013), which can minimize the effects of potential geometric distortion of GPM DPR observations. For demonstration purposes, rainfall measurements from three rain gauge networks near Melbourne, Florida, are used for training and validation purposes. These three gauge networks, which are located in Kennedy Space Center (KSC), South Florida Water Management District (SFL), and St. Johns Water Management District (STJ), include 33, 46, and 99 rain gauge stations, respectively. Collocated ground radar observations from the National Weather Service (NWS) Weather Surveillance Radar - 1988 Doppler (WSR-88D) in Melbourne (i.e., KMLB radar) are trained with the gauge measurements. The trained model is then used to derive KMLB radar based rainfall product, which is used to train GPM DPR data collected from coincident overpasses events. The machine learning based rainfall product is compared against the GPM standard products
The LHCb experiment has been running production jobs in virtual machines since 2013 as part of its DIRAC-based infrastructure. We describe the architecture of these virtual machines and the steps taken to replicate the WLCG worker node environment expected by user and production jobs. This relies on the uCernVM system for providing root images for virtual machines. We use the CernVM-FS distributed filesystem to supply the root partition files, the LHCb software stack, and the bootstrapping scripts necessary to configure the virtual machines for us. Using this approach, we have been able to minimise the amount of contextualisation which must be provided by the virtual machine managers. We explain the process by which the virtual machine is able to receive payload jobs submitted to DIRAC by users and production managers, and how this differs from payloads executed within conventional DIRAC pilot jobs on batch queue based sites. We describe our operational experiences in running production on VM based sites managed using Vcycle/OpenStack, Vac, and HTCondor Vacuum. Finally we show how our use of these resources is monitored using Ganglia and DIRAC. 2b1af7f3a8