• Automatic Parallelization of Discrete Event Simulation Programs 

      Tsai, Jya-Jang; Fujimoto, Richard M. (Georgia Institute of Technology, 1993)
      Contemporary simulation applications usually need to process many millions of events to obtain sufficiently accurate performance predictions for large, complex systems. While parallel computation offers a solution to ...
    • An Efficient Algorithm for Mining Association Rules in Large Databases 

      Savasere, Ashok; Omiecinski, Edward Robert; Navathe, Shamkant B. (Georgia Institute of Technology, 1995)
      Mining for association rules between items in a large database of sales transactions has been described as an important database mining problem. In this paper we present an efficient algorithm for mining association rules ...
    • Performance Evaluation of A Seismic Data Analysis Kernel on The KSR Multiprocessors 

      Gu, Weiming (Georgia Institute of Technology, 1994)
      The paper investigates the effective performance attainable for a specific class of application programs on shared memory supercomputers. Specifically, we are to investigate how seismic data analysis applications behave ...
    • SD³: A Scalable Approach to Dynamic Data-Dependence Profiling 

      Kim, Minjang; Lakshminarayana, Nagesh B.; Kim, Hyesoon; Chi-Keung Luk, (Georgia Institute of Technology, 2011)
      As multicore processors are deployed in mainstream computing, the need for software tools to help parallelize programs is increasing dramatically. Data-dependence profiling is an important technique to exploit parallelism ...