Now showing items 1-5 of 5

    • Data locality and parallelism optimization using a constraint-based approach 

      Ozturk, O. (Academic Press, 2011)
      Embedded applications are becoming increasingly complex and processing ever-increasing datasets. In the context of data-intensive embedded applications, there have been two complementary approaches to enhancing application ...
    • ILP-based energy minimization techniques for banked memories 

      Ozturk, O.; Kandemir, M. (Association for Computing Machinery, 2008-07)
      Main memories can consume a significant portion of overall energy in many data-intensive embedded applications. One way of reducing this energy consumption is banking, that is, dividing available memory space into multiple ...
    • Improving chip multiprocessor reliability through code replication 

      Ozturk, O. (Pergamon Press, 2010)
      Chip multiprocessors (CMPs) are promising candidates for the next generation computing platforms to utilize large numbers of gates and reduce the effects of high interconnect delays. One of the key challenges in CMP design ...
    • Optimizing shared cache behavior of chip multiprocessors 

      Kandemir, M.; Muralidhara, S. P.; Narayanan, S. H. K.; Zhang, Y.; Öztürk, Özcan (ACM, 2009-12)
      One of the critical problems associated with emerging chip multiprocessors (CMPs) is the management of on-chip shared cache space. Unfortunately, single processor centric data locality optimization schemes may not work ...
    • Using data compression for increasing memory system utilization 

      Ozturk, O.; Kandemir, M.; Irwin, M. J. (Institute of Electrical and Electronics Engineers, 2009-06)
      The memory system presents one of the critical challenges in embedded system design and optimization. This is mainly due to the ever-increasing code complexity of embedded applications and the exponential increase seen in ...