Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 25 for “"Energy Efficient Computing"”.
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Energy efficient computing : from nanotubes to negative capacitance
… (FETs) has been a major driving force to improve computing energy efficiency (quantified by the energy-delay product, EDP, the product of energy consumption and circuit delay) for decades. However, continued silicon scaling is becoming increasingly challenging. This is motivating the search for …
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Energy Efficient Computing in FPGA Through Embedded RAM Blocks
… of a FPGA device imposes a major bottleneck in energy efficiency. In this thesis, we propose to use embedded memory blocks (EMBs) in FPGA for energy-efficient mapping of these operations. We select appropriate parts of an application for mapping into embedded memory blocks in a heterogeneous …
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Energy efficient computing exploiting data similarity and computation redundancy
… fields, such as machine learning, scientific computing and signal/image processing, need to deal with real-world input datasets. Such input datasets are usually discrete samples of slow-changing, continuous data of physical phenomena, like temperature maps and images. Due to the continuous …
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Protonic All-Solid-State Electrochemical Device as an Artificial Synapse for CMOS-Compatible Neuromorphic Computing
… information technology.[1] However, conventional computing hardware is energetically unfavorable to handle multifarious AI tasks because the frequent data transfer between the physically separated microprocessors and data storage units results in ‘memory wall bottleneck’, leading to high energy …
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Three-dimensional device and circuit architectures : new systems with new nanotechnologies
… (FETs) has been a major driving force to improve computing energy efficiency (quantified by the energy-delay product, EDP, the product of energy consumption and circuit delay) for decades. However, continued silicon scaling is becoming increasingly challenging. This is motivating the search for …
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Energy-efficient approximate computation in Topaz
The increasing prominence of energy consumption as a first-order concern in contemporary computing systems has motivated the design of energy-efficient approximate computing platforms. These computing platforms feature energy-efficient computing mechanisms such as components that may occasionally …
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Power-Performance Tradeoffs in Database Systems
With the total energy consumption of computing systems increasing at a steep rate, much attention had been paid to the design of energy-efficient computing systems and applications. So far, database system design has focused on improving the performance of query processing. The objective of this …
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BROAD: bold and reliable online approximate computing framework for diverse applications
Approximate computing is an emerging computing paradigm that leverages the inherent resilience of applications while designing energy-efficient computing systems. Approximate computing systems must satisfy user-provided requirements for quality of service (QoS), a quantitative criterion imposed on …
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Superparamagnetic Tunnel Junctions for Reliable True Randomness and Efficient Probabilistic Machine Learning
… devices exhibiting stochastic functions with low energy consumption and high device density have the potential to enable complex probability-based computing algorithms, accelerate machine learning tasks, and enhance hardware security. Recently, superparamagnetic tunnel junctions (sMTJs) have been …
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Development of Transition Metal Dichalcogenide Memristive Materials and Devices for Neuromorphic Systems
… toward their limits, creating an urgent need for energy-efficient computing architectures. Neuromorphic engineering addresses this challenge by replicating the brain’s co-location of memory and computation in hardware. Transition metal dichalcogenides (TMDCs) are promising in this context, …
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Atomistic Study of Traveling Skyrmions in Multi-Sublattice Magnetic Materials
The development of novel energy-efficient computing hardware is imperative for the reduction of the carbon footprint and for the extension of computing, mobile and wearable device lifespan. Recent advances have been focused on turning to novel material systems, and one such avenue is magnetic thin …
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Ultrafast Spin-Charge Conversion Schemes in Magnets: THz Time Domain Spectroscopy Study
… solutions. Most importantly, spintronics offers energy-efficient computing and memory devices operating at unprecedented ultrafast speeds, corresponding to Terahertz frequencies. The crucial requirement for implementing spins into electronic systems is the efficient spin-charge conversion at …
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Spike Processing Circuit Design for Neuromorphic Computing
… major factor hindering the technical advances of computing systems. In recent years, neuromorphic systems started to gain increasing attention as compact and energy-efficient computing platforms. Spike based-neuromorphic computing systems require high performance and low power neural encoder and …
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Resource Management In Cloud And Big Data Systems
<p>Cloud computing is a paradigm shift in computing, where services are offered and acquired on demand in a cost-effective way. These services are often virtualized, and they can handle the computing needs of big data analytics. The ever-growing demand for cloud services arises in many areas …
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Feedback control of analog neurons and shunting inhibition in dendrites for bio-inspired neuromorphic systems.
… revisits the original vision of neuromorphic computing by focusing on analog circuit implementations that closely emulate biological neural mechanisms. The work explores a tuning approach for analog neuron circuits based on the Izhikevich model and advances the use of dendritic circuits …
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Resource-constrained and Resource-efficient Modern Cryptosystem Design
… limitations. On the other hand, resource-efficient systems need a careful trade-off between resources and performance, to achieve the best possible combination. Designing systems for resource-constraints with the optimizations for resource-efficiency, or vice versa, can result in a …
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Next-Generation Photonic Signal Processors
… architectures, enabling faster and more energy-efficient computing. However, they encounter challenges such as Moore's law saturation, speed constraints, and energy efficiency limitations due to wiring capacitance and transistor leakage. Photonic processors, leveraging light, are devoid …
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System Support For Energy Efficient Mobile Computing
… With the blooming of Internet of Things, mobile computing will become more and more important. However, the battery drain problem is a critical issue that hurts user experience. High performance devices require more power support, while the battery capacity only increases 5% per year on average. …
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Towards energy-performance trade-off analysis of parallel applications
"Energy consumption by computer systems has emerged as an important concern, both at the level of individual devices (limited battery capacity in mobile systems) and at the societal level (the production of Green House Gases). In parallel architectures, applications may be executed on a variable …
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Magnetotransport Effects in Three Dimensional Nanocircuits
… demands for new functionalities and more energy-efficient computing technologies. In comparison to 2D computing devices, 3D structures can not only offer higher density and better device connectivity, leading to proposals such as using 3D racetracks for high density memory, but also …
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