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1. Automatically-generated tests that
leverage consistent tool sets provide
the most value for the least amount of
effort.
2. Clean, consistent hardware setups
produce solid results.
3. SLT provides solid value—finding
errors not seen elsewhere.
4. Technology does not sit still, and
there is no end in sight to the device
complexity that will need to be tested.
st
Test moving into the 21 century
Device validation/characterization,
functional test at ATE, structural test,
Figure 1: Test-data volumes (blue), transistors per chip (green), and announced chips (purple dots). and SLT will continue finding use in the
st
21 century. But just as Star Trek had the
next generation, so too, must test. The
next generation of test clearly needs to be
smarter and leaner. Moving forward, the
role of data and artificial intelligence (AI)-
driven smart tools (shown in purple in
Figure 3) will become more pronounced.
These capabilities will allow tests to be
streamlined and risks reduced.
Another significant change is the
prospect for using data from other sources
(shown in light blue in Figure 3) in
order to both focus the tests on areas of
concern and adjust the test margins to
reduce the risk of shipping a bad part, all
while minimizing the cost of test. ATE’s
Figure 2: Estimated test vectors per transistor through 2031. instruments and capabilities can contribute
in many ways. The newest areas where
to multiple homogeneous cells will help, it catches more problems at the edge of ATE adds value are listed in items 2, 3, 5,
it is unlikely to solve this issue. Barring the various cores and/or devices (that is, and 6, below:
new ideas and approaches, test vectors and interface faults). A clean consistent setup
the subsequent test times will outpace the that supports the device while maintaining 1. Expanded wafer testing (first view of
growth of the number of transistors in a the visibility needed to catch faults is key to new wafers).
single chip. a viable SLT hardware setup. 2. Known-good-die (KGD) test (at-speed
One significant limitation of structural For devices with on-die processors, recent and at-temperature testing at the wafer
testing, which necessitated the growth efforts have graduated beyond running or singulated-die level).
of SLT and the continued utilization of power-up routines to running automatically- 3. Enhanced first-silicon testing (device
functional validation efforts, was the never- generated code sequences, which both validation, driver development, and
ending (or perhaps better stated, ever- utilize and confirm the ability of the checkout).
growing) list of fault types that structural embedded processor to sequence through 4. Final test (at-speed and at-temperature
testing must target. Further compounding tests while performing their duties. These testing after packaging).
this test challenge is the trend toward built-in self-test (BIST)-like sequences can 5. System-Like-Test™ (Advantest’s term
More-than-Moore multi-die integrations, be effective at finding failures both on the for focused system testing on ATE).
which bring together multiple devices and die where one or more reprogrammable on- 6. Post-silicon validation (including
exacerbate the testing challenges. die processors exist, and on peripherals parameter/register value optimization).
and chiplets in the package, such as high- 7. RMA testing (i.e., testing of field
Method 4: system-level test bandwidth memories (HBM), as well as returns).
For years, SLT has provided value by high-speed and photonic interfaces, which
checking that a device can operate in its may be connected to the central IC through Several key test steps are evolving
end-application mode (for example, that “no-touch” interfaces such as Universal to offer consistently clean hardware
®
it can boot an operating system and run Chiplet Interconnect Express (UCIe) . setups, automatic tools, and system-
representative end user applications). Four things are apparent when reviewing focused test generation.
Because its tests occur later in the flow, the path that got us to today:
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