93 research outputs found
Effective network grid synthesis and optimization for high performance very large scale integration system design
制度:新 ; 文部省報告番号:甲2642号 ; 学位の種類:博士(工学) ; 授与年月日:2008/3/15 ; 早大学位記番号:新480
CAD methodologies for low power and reliable 3D ICs
The main objective of this dissertation is to explore and develop computer-aided-design (CAD) methodologies and optimization techniques for reliability, timing performance, and power consumption of through-silicon-via(TSV)-based and monolithic 3D IC designs. The 3D IC technology is a promising answer to the device scaling and interconnect problems that industry faces today. Yet, since multiple dies are stacked vertically in 3D ICs, new problems arise such as thermal, power delivery, and so on. New physical design methodologies and optimization techniques should be developed to address the problems and exploit the design freedom in 3D ICs. Towards the objective, this dissertation includes four research projects.
The first project is on the co-optimization of traditional design metrics and reliability metrics for 3D ICs. It is well known that heat removal and power delivery are two major reliability concerns in 3D ICs. To alleviate thermal problem, two possible solutions have been proposed: thermal-through-silicon-vias (T-TSVs) and micro-fluidic-channel (MFC) based cooling. For power delivery, a complex power distribution network is required to deliver currents reliably to all parts of the 3D IC while suppressing the power supply noise to an acceptable level. However, these thermal and power networks pose major challenges in signal routability and congestion. In this project, a co-optimization methodology for signal, power, and thermal interconnects in 3D ICs is presented. The goal of the proposed approach is to improve signal, thermal, and power noise metrics and to provide fast and accurate design space explorations for early design stages.
The second project is a study on 3D IC partition. For a 3D IC, the target circuit needs to be partitioned into multiple parts then mapped onto the dies. The partition style impacts design quality such as footprint, wirelength, timing, and so on. In this project, the design methodologies of 3D ICs with different partition styles are demonstrated. For the LEON3 multi-core microprocessor, three partitioning styles are compared: core-level, block-level, and gate-level. The design methodologies for such partitioning styles and their implications on the physical layout are discussed. Then, to perform timing optimizations for 3D ICs, two timing constraint generation methods are demonstrated that lead to different design quality.
The third project is on the buffer insertion for timing optimization of 3D ICs. For high performance 3D ICs, it is crucial to perform thorough timing optimizations. Among timing optimization techniques, buffer insertion is known to be the most effective way. The TSVs have a large parasitic capacitance that increases the signal slew and the delay on the downstream. In this project, a slew-aware buffer insertion algorithm is developed that handles full 3D nets and considers TSV parasitics and slew effects on delay. Compared with the well-known van Ginneken algorithm and a commercial tool, the proposed algorithm finds buffering solutions with lower delay values and acceptable runtime overhead.
The last project is on the ultra-high-density logic designs for monolithic 3D ICs. The nano-scale 3D interconnects available in monolithic 3D IC technology enable ultra-high-density device integration at the individual transistor-level. The benefits and challenges of monolithic 3D integration technology for logic designs are investigated. First, a 3D standard cell library for transistor-level monolithic 3D ICs is built and their timing and power behavior are characterized. Then, various interconnect options for monolithic 3D ICs that improve design quality are explored. Next, timing-closed, full-chip GDSII layouts are built and iso-performance power comparisons with 2D IC designs are performed. Important design metrics such as area, wirelength, timing, and power consumption are compared among transistor-level monolithic 3D, gate-level monolithic 3D, TSV-based 3D, and traditional 2D designs.PhDCommittee Chair: Lim, Sung Kyu; Committee Member: Bakir, Muhannad; Committee Member: Kim, Hyesoon; Committee Member: Lee, Hsien-Hsin; Committee Member: Mukhopadhyay, Saiba
Architecting Efficient Data Centers.
Data center power consumption has become a key constraint in continuing to scale Internet services. As our society’s reliance on “the Cloud” continues to grow, companies require an ever-increasing amount of computational capacity to support their customers. Massive warehouse-scale data centers have emerged, requiring 30MW or more of total power capacity. Over the lifetime of a typical high-scale data center, power-related costs make up 50% of the total cost of ownership (TCO). Furthermore, the aggregate effect of data center power consumption across the country cannot be ignored. In total, data center energy usage has reached approximately 2% of aggregate consumption in the United States and continues to grow.
This thesis addresses the need to increase computational efficiency to address this grow- ing problem. It proposes a new classes of power management techniques: coordinated full-system idle low-power modes to increase the energy proportionality of modern servers. First, we introduce the PowerNap server architecture, a coordinated full-system idle low- power mode which transitions in and out of an ultra-low power nap state to save power during brief idle periods. While effective for uniprocessor systems, PowerNap relies on full-system idleness and we show that such idleness disappears as the number of cores per processor continues to increase. We expose this problem in a case study of Google Web search in which we demonstrate that coordinated full-system active power modes are necessary to reach energy proportionality and that PowerNap is ineffective because of a lack of idleness. To recover full-system idleness, we introduce DreamWeaver, architectural support for deep sleep. DreamWeaver allows a server to exchange latency for full-system idleness, allowing PowerNap-enabled servers to be effective and provides a better latency- power savings tradeoff than existing approaches. Finally, this thesis investigates workloads which achieve efficiency through methodical cluster provisioning techniques. Using the popular memcached workload, this thesis provides examples of provisioning clusters for cost-efficiency given latency, throughput, and data set size targets.Ph.D.Computer Science & EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/91499/1/meisner_1.pd
Towards Computational Efficiency of Next Generation Multimedia Systems
To address throughput demands of complex applications (like Multimedia), a next-generation system designer needs to co-design and co-optimize the hardware and software layers. Hardware/software knobs must be tuned in synergy to increase the throughput efficiency. This thesis provides such algorithmic and architectural solutions, while considering the new technology challenges (power-cap and memory aging). The goal is to maximize the throughput efficiency, under timing- and hardware-constraints
Physical parameter-aware Networks-on-Chip design
PhD ThesisNetworks-on-Chip (NoCs) have been proposed as a scalable, reliable
and power-efficient communication fabric for chip multiprocessors
(CMPs) and multiprocessor systems-on-chip (MPSoCs). NoCs determine
both the performance and the reliability of such systems, with a
significant power demand that is expected to increase due to developments
in both technology and architecture. In terms of architecture, an
important trend in many-core systems architecture is to increase the
number of cores on a chip while reducing their individual complexity.
This trend increases communication power relative to computation
power. Moreover, technology-wise, power-hungry wires are dominating
logic as power consumers as technology scales down. For these
reasons, the design of future very large scale integration (VLSI) systems
is moving from being computation-centric to communication-centric.
On the other hand, chip’s physical parameters integrity, especially
power and thermal integrity, is crucial for reliable VLSI systems. However,
guaranteeing this integrity is becoming increasingly difficult with
the higher scale of integration due to increased power density and operating
frequencies that result in continuously increasing temperature
and voltage drops in the chip. This is a challenge that may prevent
further shrinking of devices. Thus, tackling the challenge of power
and thermal integrity of future many-core systems at only one level
of abstraction, the chip and package design for example, is no longer
sufficient to ensure the integrity of physical parameters. New designtime
and run-time strategies may need to work together at different
levels of abstraction, such as package, application, network, to provide
the required physical parameter integrity for these large systems. This
necessitates strategies that work at the level of the on-chip network
with its rising power budget.
This thesis proposes models, techniques and architectures to improve
power and thermal integrity of Network-on-Chip (NoC)-based
many-core systems. The thesis is composed of two major parts: i)
minimization and modelling of power supply variations to improve
power integrity; and ii) dynamic thermal adaptation to improve thermal
integrity. This thesis makes four major contributions. The first is
a computational model of on-chip power supply variations in NoCs.
The proposed model embeds a power delivery model, an NoC activity
simulator and a power model. The model is verified with SPICE simulation
and employed to analyse power supply variations in synthetic
and real NoC workloads. Novel observations regarding power supply
noise correlation with different traffic patterns and routing algorithms
are found. The second is a new application mapping strategy aiming
vii
to minimize power supply noise in NoCs. This is achieved by defining
a new metric, switching activity density, and employing a force-based
objective function that results in minimizing switching density. Significant
reductions in power supply noise (PSN) are achieved with a low
energy penalty. This reduction in PSN also results in a better link timing
accuracy. The third contribution is a new dynamic thermal-adaptive
routing strategy to effectively diffuse heat from the NoC-based threedimensional
(3D) CMPs, using a dynamic programming (DP)-based distributed
control architecture. Moreover, a new approach for efficient extension
of two-dimensional (2D) partially-adaptive routing algorithms
to 3D is presented. This approach improves three-dimensional networkon-
chip (3D NoC) routing adaptivity while ensuring deadlock-freeness.
Finally, the proposed thermal-adaptive routing is implemented in
field-programmable gate array (FPGA), and implementation challenges,
for both thermal sensing and the dynamic control architecture are addressed.
The proposed routing implementation is evaluated in terms
of both functionality and performance.
The methodologies and architectures proposed in this thesis open a
new direction for improving the power and thermal integrity of future
NoC-based 2D and 3D many-core architectures
Summary of Research 1994
The views expressed in this report are those of the authors and do not reflect the
official policy or position of the Department of Defense or the U.S. Government.This report contains 359 summaries of research projects which were carried out
under funding of the Naval Postgraduate School Research Program. A list of recent
publications is also included which consists of conference presentations and
publications, books, contributions to books, published journal papers, and
technical reports. The research was conducted in the areas of Aeronautics and
Astronautics, Computer Science, Electrical and Computer Engineering, Mathematics,
Mechanical Engineering, Meteorology, National Security Affairs, Oceanography,
Operations Research, Physics, and Systems Management. This also includes research
by the Command, Control and Communications (C3) Academic Group, Electronic Warfare
Academic Group, Space Systems Academic Group, and the Undersea Warfare Academic
Group
Erfassung und Evaluierung von Teilentladungen in Leistungstransformatoren mit speziellen Sensoren und Diagnoseverfahren
Transformers are key elements of the power grid. Due to their importance and high initial cost, asset managers utilize monitoring and diagnostic tools to optimize their operation and extend their service life. The main objective of this thesis is to develop new methods in the field of monitoring and diagnosis of transformers in order to reduce maintenance costs and decrease the frequency of forced outages. For this purpose, two concepts are proposed.
Small generator step-up transformers are essential in wind and photovoltaic parks. The first presented concept entails an online fault gas monitoring system for these transformers, specially hermetically-sealed transformers. The developed compact, maintenance-free and cost-effective monitoring system continuously tracks the level of the key leading indicators of transformer faults in the gas cushion.
The second presented concept revolves around partial discharge (PD) assessment by the UHF measurement technique, which is based on capturing the electromagnetic (EM) waves emitted in case of PD in the insulation of a transformer. In this context, the complex EM system established when probes are introduced into the tank of a transformer and with PD as the excitation source is analyzed. Drawing on this foundation, a practical approach to the detection and classification of PD with the focus on the selection of the optimal frequency range for performing UHF measurements depending on the device under test is presented. The UHF measurement technique also offers the possibility of PD localization. Here, the determined arrival time (AT) of the captured signals is critical. A PD localization algorithm, based on a multi-data-set approach with a novel AT determination method, is proposed. The methods and algorithms proposed for the detection, classification and localization of PD are validated by means of practical experiments
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