439 research outputs found
Product assurance technology for custom LSI/VLSI electronics
The technology for obtaining custom integrated circuits from CMOS-bulk silicon foundries using a universal set of layout rules is presented. The technical efforts were guided by the requirement to develop a 3 micron CMOS test chip for the Combined Release and Radiation Effects Satellite (CRRES). This chip contains both analog and digital circuits. The development employed all the elements required to obtain custom circuits from silicon foundries, including circuit design, foundry interfacing, circuit test, and circuit qualification
Integrating simultaneous bi-direction signalling in the test fabric of 3D stacked integrated circuits.
Jennions, Ian K. - Associate SupervisorThe world has seen significant advancements in electronic devices’ capabilities,
most notably the ability to embed ultra-large-scale functionalities in lightweight,
area and power-efficient devices. There has been an enormous push towards
quality and reliability in consumer electronics that have become an indispensable
part of human life. Consequently, the tests conducted on these devices at the
final stages before these are shipped out to the customers have a very high
significance in the research community. However, researchers have always
struggled to find a balance between the test time (hence the test cost) and the
test overheads; unfortunately, these two are inversely proportional.
On the other hand, the ever-increasing demand for more powerful and compact
devices is now facing a new challenge. Historically, with the advancements in
manufacturing technology, electronic devices witnessed miniaturizing at an
exponential pace, as predicted by Moore’s law. However, further geometric or
effective 2D scaling seems complicated due to performance and power concerns
with smaller technology nodes. One promising way forward is by forming 3D
Stacked Integrated Circuits (SICs), in which the individual dies are stacked
vertically and interconnected using Through Silicon Vias (TSVs) before being
packaged as a single chip. This allows more functionality to be embedded with a
reduced footprint and addresses another critical problem being observed in 2D
designs: increasingly long interconnects and latency issues. However, as more
and more functionality is embedded into a small area, it becomes increasingly
challenging to access the internal states (to observe or control) after the device
is fabricated, which is essential for testing. This access is restricted by the limited
number of Chip Terminals (IC pins and the vertical Through Silicon Vias) that a
chip could be fitted with, the power consumption concerns, and the chip area
overheads that could be allocated for testing.
This research investigates Simultaneous Bi-Directional Signaling (SBS) for use
in Test Access Mechanism (TAM) designs in 3D SICs. SBS enables chip
terminals to simultaneously send and receive test vectors on a single Chip
Terminal (CT), effectively doubling the per-pin efficiency, which could be
translated into additional test channels for test time reduction or Chip Terminal
reduction for resource efficiency. The research shows that SBS-based test
access methods have significant potential in reducing test times and/or test
resources compared to traditional approaches, thereby opening up new avenues
towards cost-effectiveness and reliability of future electronics.PhD in Manufacturin
AI/ML Algorithms and Applications in VLSI Design and Technology
An evident challenge ahead for the integrated circuit (IC) industry in the
nanometer regime is the investigation and development of methods that can
reduce the design complexity ensuing from growing process variations and
curtail the turnaround time of chip manufacturing. Conventional methodologies
employed for such tasks are largely manual; thus, time-consuming and
resource-intensive. In contrast, the unique learning strategies of artificial
intelligence (AI) provide numerous exciting automated approaches for handling
complex and data-intensive tasks in very-large-scale integration (VLSI) design
and testing. Employing AI and machine learning (ML) algorithms in VLSI design
and manufacturing reduces the time and effort for understanding and processing
the data within and across different abstraction levels via automated learning
algorithms. It, in turn, improves the IC yield and reduces the manufacturing
turnaround time. This paper thoroughly reviews the AI/ML automated approaches
introduced in the past towards VLSI design and manufacturing. Moreover, we
discuss the scope of AI/ML applications in the future at various abstraction
levels to revolutionize the field of VLSI design, aiming for high-speed, highly
intelligent, and efficient implementations
A Model for Simulating Physical Failures in MOS VLSI Circuits
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryNaval Electronics Systems Command VHSIC Program / N00039-80-C-0556Ope
Fault simulation for structural testing of analogue integrated circuits
In this thesis the ANTICS analogue fault simulation software is described which provides a statistical approach to fault simulation for accurate analogue IC test evaluation. The traditional figure of fault coverage is replaced by the average probability of fault detection. This is later refined by considering the probability of fault occurrence to generate a more realistic, weighted test metric. Two techniques to reduce the fault simulation time are described, both of which show large reductions in simulation time with little loss of accuracy. The final section of the thesis presents an accurate comparison of three test techniques and an evaluation of dynamic supply current monitoring. An increase in fault detection for dynamic supply current monitoring is obtained by removing the DC component of the supply current prior to measurement
NASA Space Engineering Research Center for VLSI systems design
This annual review reports the center's activities and findings on very large scale integration (VLSI) systems design for 1990, including project status, financial support, publications, the NASA Space Engineering Research Center (SERC) Symposium on VLSI Design, research results, and outreach programs. Processor chips completed or under development are listed. Research results summarized include a design technique to harden complementary metal oxide semiconductors (CMOS) memory circuits against single event upset (SEU); improved circuit design procedures; and advances in computer aided design (CAD), communications, computer architectures, and reliability design. Also described is a high school teacher program that exposes teachers to the fundamentals of digital logic design
The 1992 4th NASA SERC Symposium on VLSI Design
Papers from the fourth annual NASA Symposium on VLSI Design, co-sponsored by the IEEE, are presented. Each year this symposium is organized by the NASA Space Engineering Research Center (SERC) at the University of Idaho and is held in conjunction with a quarterly meeting of the NASA Data System Technology Working Group (DSTWG). One task of the DSTWG is to develop new electronic technologies that will meet next generation electronic data system needs. The symposium provides insights into developments in VLSI and digital systems which can be used to increase data systems performance. The NASA SERC is proud to offer, at its fourth symposium on VLSI design, presentations by an outstanding set of individuals from national laboratories, the electronics industry, and universities. These speakers share insights into next generation advances that will serve as a basis for future VLSI design
Symbolic tolerance and sensitivity analysis of large scale electronic circuits
Available from British Library Document Supply Centre-DSC:DXN029693 / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo
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