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A chart comparing the active validation speed after the project and diagram load in 19.0 SP4 and 2021x projects containing 5M elements (including used projects).Profiling Changes in the UML 2.5.1 MetamodelSignificant changes have been implemented in the UML metamodel for improved performance. The InstanceSpecifications, Slots, and ValueSpecifications are no longer used to store profiling data. Instead, new model element types and properties are introduced, while some have been removed (see the diagram below). Profiling changes in the UML metamodel.As shown in the figure above, Element references the TaggedValue that is used to specify the Boolean, Integer, Real, String, or Element values of the applied stereotype properties. This approach uses fewer model elements to store profiling data, which leads to a decrease in the total number of elements in SysML and UAF projects by 40-80%. Note. Expressions based on the previously implemented profiling data storing metamodel no longer work, meaning that they have to be updated manually. Anchor | TWC Performance Improvements | TWC Performance Improvements | TWC-related Performance ImprovementsProject MergeProject Merge has undergone considerable performance improvements. The modeling tool version 2021x requires approximately 4-5 times less memory to successfully merge two server project branches, compared to 19.0 SP4. A chart comparing merge memory consumption in different modeling tool versions.Furthermore, the merge operation speed has increased by 20-70% in 2021x compared to 19.0 SP4. Both frequent (between close project versions) and infrequent (between distant project versions) merges can now be performed much faster! Charts comparing merge performance in Speed and Memory modes.TWC Project LoadProject load memory and speed improvements have been implemented for Teamwork Cloud. The modeling tool now requires only 2GB of heap to load a 2M SysML project (first and second time) when working with TWC projects compared to 8GB in 19.0 SP4. Additionally, as a result of the UML metamodel changes, SysML projects are now opened 2-3 times faster. Note. Received results cover the project load only, excluding validation, diagramming, and further modeling tool feature usage. Charts comparing project load memory and speed improvements between different modeling tool versions.
TWC Save to LocalIn 2021x, great attention is paid to the memory consumption improvements. Saving a Teamwork Cloud project locally now requires less memory. For example, a 2M SysML project now consumes only 4GB of RAM, compared to 20GB in 19.0 SP4. A chart comparing memory consumption when saving a TWC project as a local one between different modeling tool versions. Content block |
Anchor | system requirements | system requirements | System RequirementsRAM and disk space requirements have been updated taking into consideration different sizes of large models. Learn more about recommended system requirements >> Project Elements Count | (including used projects) Allocated Memory2 Disk Space | Earlier versions | 2021x and later1 | 1.5 million | 1 million | 6GB | 6GB | 2.5 million | 2 million | 7GB | 10GB | 5 million | 3.5 million | 11GB | 30GB | 1 the project elements count is different due to the profiling data storing metamodel optimized in 2021x. |
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Discontinued Products
From Teamwork Server to Teamwork CloudTeamwork Server is no longer supported in the latest release. Teamwork Cloud should be used as a product for collaborative modeling and model version control. Customers still using Teamwork Server must migrate their server projects to TWC 19.0 series first and then upgrade to TWC 2021x. Learn how to migrate from Teamwork Server to Teamwork Cloud >> From Cameo Collaborator for Alfresco to Cameo Collaborator for Teamwork CloudFrom version 2021x, Cameo Collaborator for Alfresco is no longer supported. We recommend using Cameo Collaborator for Teamwork Cloud instead. Learn how to migrate your documents and comments from the Alfresco server to Teamwork Cloud >> |
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Anchor | Colla | Colla | Collaboration|
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Anchor | | other_2 | other_2 | Other Features
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Magic Cyber Systems Engineer Documentation |
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