Recent Submissions

  • Emerging accelerator platforms for data centers 

    Ozdal, M. M. (Institute of Electrical and Electronics Engineers, 2017-12-04)
    CPU and GPU platforms may not be the best options for many emerging compute patterns, which led to a new breed of emerging accelerator platforms. This article gives a comprehensive overview with a focus on commercial platforms.
  • A Template-Based Design Methodology for Graph-Parallel Hardware Accelerators 

    Ayupov, A.; Yesil, S.; Ozdal, M. M.; Kim, T.; Burns, S.; Ozturk, O. (Institute of Electrical and Electronics Engineers Inc., 2017-05-19)
    Graph applications have been gaining importance in the last decade due to emerging big data analytics problems such as Web graphs, social networks, and biological networks. For these applications, traditional CPU and GPU ...
  • Graph Analytics Accelerators for Cognitive Systems 

    Ozdal, M. M.; Yesil S.; Kim T.; Ayupov A.; Greth J.; Burns S.; Ozturk O. (Institute of Electrical and Electronics Engineers, 2017)
    Hardware accelerators are known to be performance and power efficient. This article focuses on accelerator design for graph analytics applications, which are commonly used kernels for cognitive systems. The authors propose ...
  • Novelty detection for topic tracking 

    Aksoy, C.; Can, F.; Kocberber, S. (John Wiley and Sons, 2011-12-06)
    Multisource web news portals provide various advantages such as richness in news content and an opportunity to follow developments from different perspectives. However, in such environments, news variety and quantity can ...
  • Experiences in teaching a graduate course on model-driven software development 

    Tekinerdogan, B. (Taylor & Francis, 2011-12-01)
    Model-driven software development (MDSD) aims to support the development and evolution of software intensive systems using the basic concepts of model, metamodel, and model transformation. In parallel with the ongoing ...
  • Two-tier tissue decomposition for histopathological image representation and classification 

    Gultekin, T.; Koyuncu, C. F.; Sokmensuer, C.; Gunduz Demir, C. (IEEE, 2015-01)
    In digital pathology, devising effective image representations is crucial to design robust automated diagnosis systems. To this end, many studies have proposed to develop object-based representations, instead of directly ...
  • Efficient fast hartley transform algorithms for hypercube-connected multicomputers 

    Aykanat, C.; Dervis, A. (IEEE, 1995-06)
    Although fast Hartley transform (FHT) provides efficient spectral analysis of real discrete signals, the literature that addresses the parallelization of FHT is extremely rare. FHT is a real transformation and does not ...
  • Pragmatics in human-computer conversations 

    Saygin, A. P.; Cicekli, I. (Elsevier, 2002-03)
    This paper provides a pragmatic analysis of some human-computer conversations carried out during the past six years within the context of the Loebner Prize Contest, an annual competition in which computers participate in ...
  • Simultaneous input and output matrix partitioning for outer-product-parallel sparse matrix-matrix multiplication 

    Akbudak, K.; Aykanat, C. (Society for Industrial and Applied Mathematics, 2014-10-23)
    FFor outer-product-parallel sparse matrix-matrix multiplication (SpGEMM) of the form C=A×B, we propose three hypergraph models that achieve simultaneous partitioning of input and output matrices without any replication of ...
  • Optimizing decomposition of software architecture for local recovery 

    Sozer, H.; Tekinerdogan, B.; Aksit, M. (Springer US, 2013-11-30)
    The increasing size and complexity of software systems has led to an amplified number of potential failures and as such makes it harder to ensure software reliability. Since it is usually hard to prevent all the failures, ...
  • Two novel multiway circuit partitioning algorithms using relaxed locking 

    Dasdan, A.; Aykanat, C. (IEEE, 1997-02)
    All the previous Kernighan–Lin-based (KL-based) circuit partitioning algorithms employ the locking mechanism, which enforces each cell to move exactly once per pass. In this paper, we propose two novel approaches for ...
  • A study of two transaction-processing architectures for distributed real-time database systems 

    Ulusoy, O. (Elsevier, 1995-11)
    A real-time data base system (RTDBS) is designed to provide timely response to the transactions of data-intensive applications. Processing a transaction in a distributed RTDBS environment presents the design choice of how ...
  • Comparative analysis of the domestic cat genome reveals genetic signatures underlying feline biology and demiestication 

    Montague, M. J.; Li, G.; Gandolfi, B.; Khan, R.; Aken, B. L.; Marques Bonet, T.; Alkan, C.; Thomas, G. W. C.; Warren, W. C. (Proceedings of the National Academy of Sciences, 2014-12-02)
    Little is known about the genetic changes that distinguish domestic cat populations from their wild progenitors. Here we describe a high-quality domestic cat reference genome assembly and comparative inferences made with ...
  • Rate-Distortion Efficient Piecewise Planar 3D Scene Representation from 2-D Images 

    Imre, E.; Alatan, A. Aydin; Gudukbay, U. (IEEE, 2009-01-20)
    In any practical application of the 2-D-to-3-D conversion that involves storage and transmission, representation effi- ciency has an undisputable importance that is not reflected in the attention the topic received. In ...
  • Stereoscopic view-dependent visualization of terrain height fields 

    Gudukbay, U.; Yilmaz, T. (IEEE, 2002-10)
    Visualization of large geometric environments has always been an important problem of computer graphics. In this paper, we present a framework for the stereoscopic view-dependent visualization of large scale terrain models. ...
  • Processing count queries over event streams at multiple time granularities 

    Unal, A.; Saygin, Y.; Ulusoy, O. (Elsevier, 2006-07-22)
    Management and analysis of streaming data has become crucial with its applications to web, sensor data, network traffic data, and stock market. Data streams consist of mostly numeric data but what is more interesting are ...
  • Two learning approaches for protein name extraction 

    Tatar, S.; Cicekli, I. (Elsevier, 2009-12)
    Protein name extraction, one of the basic tasks in automatic extraction of information from biological texts, remains challenging. In this paper, we explore the use of two different machine learning techniques and present ...
  • A study of localization metrics: Evaluation of position errors in wireless sensor networks 

    Aksu, H.; Aksoy, D.; Korpeoglu, I. (Elsevier, 2011-10-27)
    For wireless sensor network applications that require location information for sensor nodes, locations of nodes can be estimated by a number of localization algorithms, which inevitably may introduce various types of ...
  • Hypergraph Partitioning-Based Fill-Reducing Ordering for Symmetric Matrices 

    Catalyurek, U. V.; Aykanat, C.; Kayaaslan, E. (Society for Industrial and Applied Mathematics, 2011-08-18)
    A typical first step of a direct solver for the linear system Mx = b is reordering of the symmetric matrix M to improve execution time and space requirements of the solution process. In this work, we propose a novel ...
  • Constrained Min-Cut replication for K-Way hypergraph partitioning 

    Yazici, V.; Aykanat, C. (Institute for Operations Research and the Management Sciences (INFORMS), 2014-01-05)
    Replication is a widely-used technique in information retrieval and database systems for providing fault tolerance and reducing parallelization and processing costs. Combinatorial models based on hypergraph partitioning ...

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