Now showing items 152-171 of 488

    • Falcon-Toward Interactive Parallel Programs: The On-line Steering of a Molecular Dynamics Application 

      Eisenhauer, Greg Stephen; Gu, Weiming; Schwan, Karsten; Mallavarupu, Nirupama (Georgia Institute of Technology, 1994)
      This paper focuses on the opportunities and costs of on-line steering as applied to a substantial parallel application. We demonstrate potential performance improvements through the use of the Falcon system, an ...
    • Falcon: On-line Monitoring and Steering of Large-Scale Parallel Programs 

      Gu, Weiming; Eisenhauer, Greg Stephen; Kraemer, Eileen T.; Schwan, Karsten; Stasko, John T.; Vetter, Jeffrey Scott; Mallavarupu, Nirupama (Georgia Institute of Technology, 1994)
      Falcon is a system for on-line monitoring and steering of large-scale parallel programs. The purpose of such interactive steering is to improve its performance or to affect its execution behavior. The Falcon system ...
    • Fast Flux Service Networks: Dynamics and Roles in Hosting Online Scams 

      Feamster, Nick; Konte, Maria; Jung, Jaeyeon (Georgia Institute of Technology, 2008)
      This paper studies the dynamics of fast flux service networks and their role in online scam hosting infrastructures. By monitoring changes in DNS records of over 350 distinct fast flux domains collected from URLs in ...
    • Fast Linear Discriminant Analysis using QR Decomposition and Regularization 

      Park, Haesun; Drake, Barry L.; Lee, Sangmin; Park, Cheong Hee (Georgia Institute of Technology, 2007-03-23)
      Linear Discriminant Analysis (LDA) is among the most optimal dimension reduction methods for classification, which provides a high degree of class separability for numerous applications from science and engineering. ...
    • Fast Message Passing via the Shared Memory on KSR Computers 

      Ghosh, Kaushik (Georgia Institute of Technology, 1994)
      A large body of applications have been built which use a message-passing style of inter-process communication. Thus, it is important to be able to support efficient message-passing even on shared-memory computers. ...
    • Fast Packet Classification with a Varying Rule Set 

      Merugu, Shashidhar; Gummalla, Ajay Chandra V.; Sala, Dolors; Zegura, Ellen W. (Georgia Institute of Technology, 2001)
      Multi-dimensional packet classification is increasingly important for applications ranging from fire-walls to traffic accounting. Fast link speeds, the desire to classify with fine granularity, and the need for agility ...
    • A Fast Randomized Method for Local Density-based Outlier Detection in High Dimensional Data 

      Nguyen, Minh Quoc; Omiecinski, Edward; Mark, Leo (Georgia Institute of Technology, 2010)
      Local density-based outlier (LOF) is a useful method to detect outliers because of its model free and locally based property. However, the method is very slow for high dimensional datasets. In this paper, we introduce a ...
    • A Fast, Parallel Spanning Tree Algorithm for Symmetric Multiprocessors (SMPs) 

      Bader, David A.; Cong, Guojing (Georgia Institute of Technology, 2006-02-25)
      The ability to provide uniform shared-memory access to a significant number of processors in a single SMP node brings us much closer to the ideal PRAM parallel computer. Many PRAM algorithms can be adapted to SMPs with ...
    • FA{S,T}ER Scaled Matching 

      Amir, Amihood; Calinescu, Gruia (Georgia Institute of Technology, 1993)
      The rapidly growing need for analysis of digitized images in multimedia systems has lead to a variety of interesting problems in multidimensional pattern matching. One of the problems is that of scaled matching, finding ...
    • A Feature Model of Coupling Technologies for Earth System Models 

      Dunlap, Rocky; Rugaber, Spencer; Mark, Leo (Georgia Institute of Technology, 2010)
      Couplers that link together two or more numerical simulations are well-known abstractions in the Earth System Modeling (ESM) community. In the past decade, reusable software assets have emerged to facilitate scientists in ...
    • Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis 

      Ye, Jieping; Janardan, Ravi; Li, Qi; Park, Haesun (Georgia Institute of Technology, 2006)
      High-dimensional data appear in many applications of data mining, machine learning, and bioinformatics. Feature reduction is commonly applied as a preprocessing step to overcome the curse of dimensionality. Uncorrelated ...
    • A Feature-based Sampling Method to Detect Anomalous Patterns in High Dimensional Datasets 

      Nguyen, Minh Quoc; Mark, Leo; Omiecinski, Edward (Georgia Institute of Technology, 2008)
      We introduce a feature-based sampling method to detect anomalous patterns. By recognizing that an observation is considered normal because there are many observations similar to it, we formally define the problem of ...
    • Fishing for Phishing from the Network Stream 

      Ramachandran, Anirudh; Feamster, Nick; Krishnamurthy, Balachander; Spatscheck, Oliver; Van der Merwe, Jacobus (Georgia Institute of Technology, 2008)
      Phishing is an increasingly prevalent social-engineering attack that attempts identity theft using spoofed Web pages of legitimate organizations. Unfortunately, current phishing detection methods are neither complete ...
    • FlashFire: Overcoming the Performance Bottleneck of Flash Storage Technology 

      Kim, Hyojun; Ramachandran, Umakishore (Georgia Institute of Technology, 2010)
      Flash memory based Solid State Drives (SSDs) are becoming popular in the market place as a possible low-end alternative to hard disk drives (HDDs). However, SSDs have different performance characteristics compared ...
    • Flexible Event Delivery for Kernel Extensions in ELinux 

      Poellabauer, Christian; Schwan, Karsten; West, Richard (Georgia Institute of Technology, 2000)
      Many applications rely on the kernel's ability specialize and extend its functionality in order to achieve high performance and meet application-specif QoS requirements. However, general-urpose operating systems lack ...
    • Flow Identification for Supporting Resource Reservation 

      Cao, Zhiruo; Wang, Zheng (Georgia Institute of Technology, 1999)
      This paper considers the problem of flow identification for supporting resource reservation. We propose several hashing-based schemes for flow identification and present a quantitative analysis of their performance ...
    • FlowQoS: Per-Flow Quality of Service for Broadband Access Networks 

      Seddiki, M. Said; Shahbaz, Muhammad; Donovan, Sean; Grover, Sarthak; Park, Miseon; Feamster, Nick; Song, Ye-Qiong (Georgia Institute of Technology, 2015)
      In broadband access networks, one application may compete for the bandwidth of other applications, thus degrading overall performance. One solution to this problem is to allocate bandwidth to competing flows based on ...
    • A Framework for Data Prefetching using Off-line Training of Markovian Predictors 

      Kim, Jinwoo; Wong, Weng Fai; Palem, Krishna V. (Georgia Institute of Technology, 2002)
      An important technique for alleviating the memory bottleneck is data prefetching. Data prefetching solutions ranging from pure software approach by inserting prefetch instructions through program analysis to purely hardware ...
    • A Framework for Understanding Data Dependences 

      Orso, Alessandro; Liang, Donglin; Sinha, Saurabh; Harrold, Mary Jean (Georgia Institute of Technology, 2002)
      Identifying and understanding data dependences is important for a variety of software-engineering tasks. The presence of pointers, arrays, and dynamic memory allocation introduces subtle and complex data dependences ...
    • A Functional Theory of Creative Reading 

      Moorman, Kenneth Matthew; Ram, Ashwin (Georgia Institute of Technology, 1994)
      Reading is an area of human cognition which has been studied for decades by psychologists, education researchers, and artificial intelligence researchers. Yet, there still does not exist a theory which accurately ...