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More often than not, all of these groups are working on their part of the design at the same time. All those design macros from both internal and external sources must be merged together and pass successfully through physical verification before the design can be sent to the foundry.
Optimize your database with duplicate data deletion
All that data coming together has created massive, monolithic design databases that have been steadily increasing in size with each new node. Finding these duplications and eliminating those that are negatively impacting the design flow can help design teams optimize their implementation flows and reduce time to tapeout.
With so many sources using the same cell libraries or intellectual property IP blocks, intentional data duplication is frequently used to ensure data integrity, especially during the early stages of the design flow. At the same time, all these data inputs mean that unintentional data duplication also happens, and it can easily escape notice.
While all SoC block owners are responsible for their own design implementation flows, they often share libraries or IP blocks with other teams. During block implementation, the block owners know that nothing can be changed in their blocks without their knowledge.
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On the other hand, they can and do change design data in their blocks without recognizing the impact of that change on teams that share the cell data. To avoid any unwanted changes during design implementation, designers typically copy their libraries or IP blocks to the shared data using a unique suffix uniquification. Using these uniquified libraries in the complete SoC implementation avoids the possibility of name collisions with other blocks, as shown in Figure 1. Figure 1. Cell A is shared between blocks To avoid unexpected changes to their version of the cell, block designers uniquify cell A by adding a unique suffix to the cell name Mentor.
At the SoC level, these blocks and their uniquified cell components are independent of each other.
When the design is complete, the unique names are no longer needed, but typically stay in the database sent to the foundry. This can result in tens of thousands of duplications in a design database. In addition to increasing the database size, these duplications also make any statistics counting individual cell placement by name incorrect or difficult to interpret.
Figure 2 shows a simple example of a design that contains zero instances of the original cell A, but one each of the uniquified blocks Reverting these duplications back to a single master reference can significantly reduce database size and complexity.
Figure 2. Uniquified cells in individual blocks can inflate database size at the SoC level Mentor. Common sources for unintentional cell duplicates are via cells which have a simple structure or parameterized cells pcells that have the same layout, but different numeric codes following their names. A duplicate instance occurs when a cell is placed directly on top of another cell instance that shares the same name and cell properties. These duplicate instances are unintentional placements that can be inadvertently created by a number of different sources, such as automated scripts, memory compilers, or data merging flows.
It may be worth knowing that the sudo method and tail. This rebinds C-x C-r. Great stuff Andreas! The latter is very useful for doing some system file specific things. For example, the following can help to discourage careless editing of system files:. Using find-file-hook is better, I think. The code above depends on function tramp-file-name-path , which appears to me not to be defined anywhere in the current release of TRAMP 2.
No luck on google some usages, no definition , koders or krugle either. I updated the above snippets. From the commit message:.
Fastest way to uniquify a list in Python >=3.6
I often view or edit file remotely and extended the above procedure to handle files already open with tramp. The code is a bit ugly but it is working. It is meant to replace toggle-read-only function. I have only tested it on Emacs. There are some bugs: for example, you need to always use the former user host and not just host. This is because tramp-make-tramp-file-name with multi as the first paremeter does not accept nil as one of the member of the user vector.
I really like the above. Also it works on dired buffers. Can I set TrampMode up so that a method like:. Multi-hops seems like an obsolete format. The current documentation May says stuff about proxies. So I raise this question again in order to let this page pop up in RecentChanges , so that smart people will notice it ;- — Jurijs Oniscuks. If yes, the abbreviation is substituted. Then, we reinvoke find-file, and let the other file-name-handlers kick in. By the way, it might be worth asking on the tramp list to see if anyone else has a fully-fledged, and working, abbreviation scheme.
I just use AbbrevMode. It works well for me. Then you can give it as short a name as you like. See BookMarks for more details. Why is multi:… an obsolete format?
source site Reminder, there are two ways to uniqify a list. Order preserving and not order preserving. For example, the unique letters in peter is p, e, t, r in their "original order". As opposed to t, e, p, r. Follow peterbe on Twitter. What is this mysterious sequence "seq" that you're testing with? Thanks, missed that since it's "above the article". Other things: - You say in Python 3.
Am I missing something again or are you overstating that? Then I also found them in the comments of the old blog post, ha. That is a recommendation from me, from Tim Peters, and from Guido van Rossum.