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IBM 11.70 PDF Dumps

Why information format Slows Chip Manufacturing progress | 000-919 Dumps and Practice Questions

The regular test information structure (STDF), a workhorse data format used to pull examine results facts from automatic test equipment, is running out of steam after 35 years. it is unable to keep up with the explosive increase in statistics generated by more sensors in numerous semiconductor manufacturing methods.

First developed in 1985 via Teradyne, STDF is a binary structure it really is translated into ASCII or different some layout. It has evolved over the years, but it surely also has splintered as a considerable number of corporations have developed their personal custom taste of STDF. That has made the normal a ways much less common-like.

Teradyne gave SEMI a license to manage STDF as a typical in 2010. SEMI described a reminiscence fail datalog usual (SEMI G91) below STDF, however it disbanded the STDF taskforce in 2019 to in its place pursue a greater effective, bendy commonplace with IoT-like elements that might enable adaptive testing for precise-time visibility.

this is crucial for a couple of causes. First, advanced chips and programs are getting used in defense- and mission-important applications, and making use of information to avoid box disasters is basic. second, most of the designs are a lot greater personalized than during the past, when an SoC changed into great-tuned and noticeably established and then produced in billion-unit volumes. current volumes in most market segments are a lot smaller, and being capable of adapt checking out around a number of packaging alternatives and layouts is essential.

here is where the prosperous Interactive examine Database (RITdb) fits in. It’s the next average to substitute STDF. The SEMI community solid is borrowing from IoT to develop RITdb. the brand new typical can have a SQL database and MQTT messaging, which skill facts can move backward and forward to a server. doubtlessly extra of the crew can see the statistics live during manufacturing and make adjustments on the fly to the manufacturing of the chip, however metadata may be constant due to an electronic id that stays with the chip.

None of here is going to turn up overnight, of route. “This business is a fine looking sluggish-moving. issues just don’t alternate that commonly,” referred to Keith Arnold, senior director of solutions at PDF options. “i think STDF will likely be around for a long time to come simply since it’s simply ubiquitous. It’s in every single place.”

The human factorAs with anything, individuals can gum up the works. STDF is clunky and restrained — and its structure leaves a lot for interpretation. “one of the most largest problems they see with STDF is that very nearly every consumer makes use of the fields differently,” Arnold observed. “even though it is a typical, nothing restricts clients from inserting in fairly tons something they desire. It can also be as simple as somebody simply misspelling some thing because the operator has at hand enter it.”

a lot of it really is because of how the tester interfaces with the manufacturing execution gadget  (MES), a computerized equipment utilized in manufacturing to document a product’s manufacturing ranges. Getting associations appropriate is vital. That requires gathering the information and cleansing it. The facts cleansing method is iterative on account of all of the very own recording patterns and trying out hints.

“You simply should look at the facts and check out to, just from event, be aware of ‘k, I consider here is what this is — what they mean, despite the fact that they’ve executed the incorrect container,” Arnold spoke of. “I suppose here's what they suggest. It takes somebody who’s in fact achieved it earlier than. They go through a reasonably lengthy integration process — that’s the place they go through and do that mapping. And it’s very iterative. after which it changes in time, which creates even more unique problems.”

here's what an iterative technique looks like, in keeping with Arnold:

“With engineers or the company americans, they may also study it [the data], they say, ‘I consider here is what you supposed.’ and then they do something, and they go, ‘No, no, that’s not correct. here's alleged to go there,’ or, ‘Oh, actually you comprehend what? This field, what they deserve to do is they deserve to split that box into two distinctive fields.’ ‘in reality? ok, best.’ The structure is somewhat restrictive. And so, in case you’ve got added counsel you are looking to put in there, both you start concatenating lots of issues together, or some americans do issues — they’ll stick it within the file name. just add yet another underscore and then another parameter that no person else knows what that means. but, so people variety of do something they must do to get all this tips in there. after which lots of the fields, they simply don’t fill in it all. Like as an instance, ‘I don’t be aware of what facility this came from. Did this come from Taiwan, or did this come from Malaysia? I haven't any conception, as a result of that information is probably now not covered. All that sort of stuff is basically essential in case you’re making an attempt to assemble a big information set, and also you’re making an attempt to do what they call alignment. And the statistics alignment and all the correct association, it’s simply now not there.”

The catchallSome operators favor dumping statistics into a familiar checklist, called the widely wide-spread data list (GDR), in a protracted string that somebody farther down the line has to decode. “Engineers birth inserting in txt facts and established statistics and they delivery fudging with the which means to be able to stick it in there,” said Mark Roos, the co-chair at SEMI’s RITdb effort and CEO of Roos instruments. “yes, individuals are managing to use STDF to do these extra complicated operations. but there are boundaries and it’s in reality clunky. each person has a private favourite manner of doing it. here is an issue because how were you aware what things imply, having to code it uniquely for each product.”

there's a lot of logging assistance that needs to be kept, and the handiest location to do this is the GDR.

“The general statistics checklist because it implies — it’s just a string,” observed Arnold. “Stick anything you want in there. It’s relatively plenty asynchronous. It’s hard to determine where did that occur within the string. It is only a dump of a lot of distinctive stuff, and generally after we’re searching on the information, the engineer will ‘Oh yeah they stuck all that stuff in the GDR checklist.’ GDR has more information quantity than the complete file practically, and it’s got zero structure. And so, you simply stepped off into the Wild West, and that’s what you’re reckoning on to do some evaluation.”

still, it can also be challenging to keep away from the use of the GDR. “Even from the design standpoint, for example, once we’re capturing records from the design, as they flow into the realm of high pace interfaces, protocol-primarily based testing, they discover that you want to hold a duplication, as an instance of the followed statistics coming out,” referred to Brian Archer, senior workforce solutions architect at Synopsys. “however there’s no true way to capture the same statistics varied approaches in the identical file without the use of the person described registers or person defined section of the STDF. in order that turns into a problem, as well.”

No area for an electronic IDThe massive difficulty is associated tips. To make predictions at the die level requires some classification of digital chip identification, and a consistent method of selecting each and every chip. If the metadata is inconsistent, that creates a multitude.

“if you are going make it an awful lot simpler to do any form of laptop learning and mass quantity facts analysis, we’ve received to get a hold of a way to be sure that we’ve got constant tips that’s being populated within the fields. as an instance, loads of this assistance the tester already knows. The tester may still simply populate it. honestly, there’s lots of this metadata, it almost shouldn’t be the area of the engineer to come to a decision. There must be a tighter integration between, say STDF and the company who’s making the tester, in order that the tester business ensures that the statistics is being appropriately utilized and recorded and is consistent. And a part of that could require some sort of an interface to their MES device. you can’t always always count on an operator interface, that the operator goes to deliver all that as a result of a lot of it is non-compulsory.”

“and also you actually would really like a container that doesn’t care what you’re checking out. It only cares so you might supply the structure and produce it in the future,” observed Roos.

Controlling the first-class of the metadata needs to be finished all over test with the aid of the tester, with an interface to the MES gadget. The theory is to automate this and remove the human from the loop in order have some consistency.

A yield administration gadget enforces one of the vital decent conduct. “When doing extent evaluation … users right now know the want for having standardized metadata or it takes time to mixture information with the aid of labelling the facts online afterwards (which which you can also do),” stated Marie Ryan, marketing govt at yieldHUB, in a contemporary blog. “in this case, it is essential that steps should be taken to standardize datalog metadata as quickly as possible.” if you don’t have decent records, which you could’t run correct yield information.

Storing dataHaving ample storage for the data is critical. YieldHUB offers up counsel a way to structure the STDF statistics to increase database processing. The STDF information goes into a yield management system and considered in genuine time all over look at various. Yieldhub stresses velocity and if feasible protecting the facts storage down or being organized with the appropriate volume of storage. Row-level locking tables is a method to velocity up the procedure.

“AMD has a slightly distinctive format they use. They crucial a greater hierarchical classification of constitution, since the structure of STDF is a bit dated, and it matches most individuals’s needs, however AMD has some special needs, where the data they’re collecting type of branches,” noted Arnold. “So it creates a fairly complex constitution. but if you've got the ability to store the structure and you take into account what it is, it’s no longer that complicated to do the analysis. but STDF in fact doesn’t enable that. so that they have several choices. they could either simply stick it in an exterior file, or they can put it in different info, like these GDRs that generate frequent information data. Or they come up with their own format, which is what they did.”

He referred to that RITdb additionally wanted an unconstrained constitution. “There are certain constituents of the structure that they comprehend for sure they ought to have, because it’s simply part of their business,” observed Arnold. “There are fab a whole lot, fab lots have wafers, wafers have die, they move through distinct processes — all that form of stuff. That’s all excellent and good however when it involves the raw test facts itself, you need the flexibility to be capable of define some exceedingly complicated buildings. That’s where RITdb in fact is useful, is that it has the areas for the entire commonplace tips, the ordinary constitution, so it provides constitution where structure is in reality needed, nonetheless it also offers some flexibility and greater flexibility is required, chiefly within the genuine amassing of the test facts itself.”

STDF isn't going awayDespite all of the problems, STDF could be round for ages. truly, RITdb has STDF aspects developed into its block diagrams. but as chips develop into extra complex, and as they are disaggregated into superior packages, the sort of flexibility and uniformity provided through RITdb will develop into a whole lot extra pleasing.

After 35 years, the business curiously is ready for some thing new.

—Anne Meixner contributed to this file.

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