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Showing 1 to 20 of 42 for “"efficient computing"”.

  1. Democratizing error-efficient computing

    We live in a world where errors in computing are becoming ubiquitous and come from a wide variety of sources -- from unintentional bit flips in devices to deliberate approximations and malicious attacks. Future systems must be built to extract maximum computational efficiency while operating with …

    uiuc Repository record for Democratizing error-efficient computing (opens in a new tab)

  2. Reversibility for efficient computing

    … have been known to be fundamentally energy-inefficient for several decades. Recently, alternative reversible logic technologies have improved rapidly, and are now becoming practical. In traditional models of computation, pure reversibility seems to decrease overall computational efficiency; I …

    mit Repository record for Reversibility for efficient computing (opens in a new tab)

  3. Reconfigurable and heterogeneous architectures for efficient computing

    … of the power wall, has resulted in the need for efficient use of area and power budgets. With the end of Dennard scaling, and the slow down of Moore's law, scaling from one process node to another no longer delivers gains in performance or power for general-purpose computing. Thus, there is an …

    uiuc Repository record for Reconfigurable and heterogeneous architectures for efficient computing (opens in a new tab)

  4. 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 …

    mit Repository record for Energy efficient computing : from nanotubes to negative capacitance (opens in a new tab)

  5. Energy Efficient Computing in FPGA Through Embedded RAM Blocks

    … 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 mapping framework that aims at maximizing energy efficiency. Complex operations are decomposed / fused …

    ohiolink Repository record for Energy Efficient Computing in FPGA Through Embedded RAM Blocks (opens in a new tab)

  6. 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 …

    uiuc Repository record for Energy efficient computing exploiting data similarity and computation redundancy (opens in a new tab)

  7. Efficient computing for autonomous navigation using algorithm-and-hardware co-design

    … co-design approach to design energy-efficient algorithms that are optimized for dedicated hardware architectures at the same time. It covers the design for three essential modules of an autonomous navigation system: perception, localization, and exploration.

    mit Repository record for Efficient computing for autonomous navigation using algorithm-and-hardware co-design (opens in a new tab)

  8. Secure Networking and Efficient Computing in Unmanned Aerial Vehicle Assisted Green IoT Networks

    … struggle with limited energy, communication and computing resources. By combining UAVs with GIoT, the resultant system leverages the strengths of both: enhancing in situ data collection with UAVs' broad surveillance capabilities and GIoT's dense, ground truth data. In this study, we envision a …

    alabama Repository record for Secure Networking and Efficient Computing in Unmanned Aerial Vehicle Assisted Green IoT Networks (opens in a new tab)

  9. 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 …

    mit Repository record for Protonic All-Solid-State Electrochemical Device as an Artificial Synapse for CMOS-Compatible Neuromorphic Computing (opens in a new tab)

  10. 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 …

    mit Repository record for Three-dimensional device and circuit architectures : new systems with new nanotechnologies (opens in a new tab)

  11. OPTIMAL COMPUTING BUDGET ALLOCATION FOR SIMULATION BASED OPTIMIZATION AND COMPLEX DECISION MAKING

    Optimal Computing Budget Allocation (OCBA) considers the problem how to get a best result based on the simulation output under a computing budget constraint. It is not only an efficient ranking and selection procedure for simulation problems with finite candidate solutions but also an attractive …

    nus Repository record for OPTIMAL COMPUTING BUDGET ALLOCATION FOR SIMULATION BASED OPTIMIZATION AND COMPLEX DECISION MAKING (opens in a new tab)

  12. Modeling Synapse Formation and Growth as a Non-Biological Analog to the Brain

    Efficiency in computing systems is a pressing concern as global reliance on machines and automation grows. Leveraging an understanding of the brain's exceptional computational capabilities, this study presents a preliminary nondimensionalized model of synapses, an essential component for developing …

    mit Repository record for Modeling Synapse Formation and Growth as a Non-Biological Analog to the Brain (opens in a new tab)

  13. LightSpeed: A Framework to Profile and Evaluate Inference Accelerators at Scale

    … law, created a pressing need to build highly efficient computing platforms from the ground up. Consequently, researchers and practitioners have been developing highly innovative cutting-edge architectures to meet today’s exponentially increasing demands for machine learning services. However, …

    mit Repository record for LightSpeed: A Framework to Profile and Evaluate Inference Accelerators at Scale (opens in a new tab)

  14. Energy-efficient approximate computation in Topaz

    … 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 produce incorrect results. We present …

    mit Repository record for Energy-efficient approximate computation in Topaz (opens in a new tab)

  15. 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 …

    usf Repository record for Power-Performance Tradeoffs in Database Systems (opens in a new tab)

  16. 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 …

    uiuc Repository record for BROAD: bold and reliable online approximate computing framework for diverse applications (opens in a new tab)

  17. An enhanced augmented electric field integral equation and the calculation of casimir force using computational electromagnetics

    … is briefly reviewed and we proposed an efficient computing scheme using the randomized singular value decomposition and the hybrid FMA. As a result, the efficiency can be greatly enhanced for large problems.

    uiuc Repository record for An enhanced augmented electric field integral equation and the calculation of casimir force using computational electromagnetics (opens in a new tab)

  18. UNIVERSAL CONTROL OF NOISELESS SUBSYSTEMS FROM SYSTEMS WITH ARBITRARY DIMENSION

    … and engineering to date. The promise of more efficient computing based on entangled quantum states and the superposition principle has led to a worldwide explosion of interest in the fields of quantum information and computation. Among the number of hurdles which must first be cleared before …

    siu-theses Repository record for UNIVERSAL CONTROL OF NOISELESS SUBSYSTEMS FROM SYSTEMS WITH ARBITRARY DIMENSION (opens in a new tab)

  19. Superparamagnetic Tunnel Junctions for Reliable True Randomness and Efficient Probabilistic Machine Learning

    … potential to enable complex probability-based computing algorithms, accelerate machine learning tasks, and enhance hardware security. Recently, superparamagnetic tunnel junctions (sMTJs) have been widely explored for such purposes, leading to the development of limited-scale sMTJ-based systems. …

    mit Repository record for Superparamagnetic Tunnel Junctions for Reliable True Randomness and Efficient Probabilistic Machine Learning (opens in a new tab)

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