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  • Hardware transactional memory exploration in coherence-free many-core architectures 

    Papagiannopoulou, Dimitra; Marongiu, Andrea; Moreshet, Tali; Benini, Luca; Herlihy, Maurice; Bahar, R Iris (SPRINGER/PLENUM PUBLISHERS, 2018-12-01)
    High-end embedded systems, like their general-purpose counterparts, are turning to many-core cluster-based shared-memory architectures that provide a shared memory abstraction subject to non-uniform memory access costs. ...
  • A secure cloud with minimal provider trust 

    Mosayyebzadeh, Amin; Ravago, Gerardo; Mohan, Apoorve; Raza, Ali; Tikale, Sahil; Scheer, Nabil; Hudson, Trammell; Hennessy, Jason; Ansari, Naved; Hogan, Kyle; Munson, Charles; Rudolph, Larry; Cooperman, Gene; Desnoyers, Peter; Krieger, Orran (USENIX Association, 2018)
    Bolted is a new architecture for a bare metal cloud with the goal of providing security-sensitive customers of a cloud the same level of security and control that they can obtain in their own private data centers. It allows ...
  • Atomic calligraphy, a fab on a chip approach to lithography 

    Barrett, Lawrence; Lally, Richard; Reeves, Jeremy; Stark, Thomas; Bishop, David (2018-03-05)
    The traditional approach to keeping pace with Moore's Law has largely been improving conventional semiconductor foundry technology. Here we present an alternative approach called Fab-On-a-Chip where conventional foundry ...
  • Casimir driven parametric amplification of a MEMS accelerometer 

    Stange, Alex; Bishop, David (2018-03-04)
    In this work, we use the gradient of the attractive Casimir interaction existing between an Au-coated silicon plate and an Au-coated microsphere bonded to the proof mass of a commercial MEMS capacitive accelerometer to ...
  • Pupil function engineering for enhanced nanoparticle visibility in wide-field interferometric microscopy 

    Avci, Oguzhan; Campana, Maria I.; Yurdakul, Celalettin; Unlu, M. Selim (OPTICAL SOC AMER, 2017-02-20)
    Wide-field interferometric microscopy techniques have demonstrated their utility in sensing minute changes in the optical path length as well as visualization of sub-diffraction-limited nanoparticles. In this work, we ...
  • Nanoparticle classification in wide-field interferometric microscopy by supervised learning from model 

    Avci, Oguzhan; Yurdakul, Celalettin; Unlu, M. Selim (OPTICAL SOC AMER, 2017-05-20)
    Interference-enhanced wide-field nanoparticle imaging is a highly sensitive technique that has found numerous applications in labeled and label-free subdiffraction-limited pathogen detection. It also provides unique ...
  • Surface chemistry and morphology in single particle optical imaging 

    Ekiz-Kanik, Fulya; Sevenler, Derin Deniz; Unlu, Nese Lortlar; Chiari, Marcella; Unlu, M Selim (WALTER DE GRUYTER GMBH, 2017-07-01)
    Biological nanoparticles such as viruses and exosomes are important biomarkers for a range of medical conditions, from infectious diseases to cancer. Biological sensors that detect whole viruses and exosomes with high ...
  • Quantitative interferometric reflectance imaging for the detection and measurement of biological nanoparticles 

    Sevenler, Derin; Avci, Oguzhan; Unlu, M. Selim (OPTICAL SOC AMER, 2017-06-01)
    The sensitive detection and quantitative measurement of biological nanoparticles such as viruses or exosomes is of growing importance in biology and medicine since these structures are implicated in many biological processes ...
  • Graph resistance and learning from pairwise comparisons 

    Hendrickx, Julien M.; Olshevsky, Alex; Saligrama, Venkatesh (2019)
    We consider the problem of learning the qualities of a collection of items by performing noisy comparisons among them. Following the standard paradigm, we assume there is a fixed “comparison graph” and every neighboring ...
  • On the non-existence of unbiased estimators in constrained estimation problems 

    Saligrama, Venkatesh; Somekh-Baruch, Anelia; Lesham, Amir (Institute of Electrical and Electronics Engineers, 2018-08-01)
    We address the problem of existence of unbiased constrained parameter estimators. We show that if the constrained set of parameters is compact and the hypothesized distributions are absolutely continuous with respect to ...

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