Now showing items 1-6 of 6

    • Architectural requirements for energy efficient execution of graph analytics applications 

      Özdal, Muhammet Mustafa; Yeşil, Şerif; Kim, T.; Ayupov, A.; Burns, S.; Öztürk, Özcan (IEEE, 2015-11)
      Intelligent data analysis has become more important in the last decade especially because of the significant increase in the size and availability of data. In this paper, we focus on the common execution models and ...
    • Emerging accelerator platforms for data centers 

      Özdal, Muhammet Mustafa (IEEE, 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.
    • Energy efficient architecture for graph analytics accelerators 

      Özdal, Muhammet Mustafa; Yeşil, Şerif; Kim, T.; Ayupov, A.; Greth, J.; Burns, S.; Öztürk, Özcan (IEEE, 2016-06)
      Specialized hardware accelerators can significantly improve the performance and power efficiency of compute systems. In this paper, we focus on hardware accelerators for graph analytics applications and propose a configurable ...
    • Hardware accelerator design for data centers 

      Yeşil, Şerif; Özdal, Muhammet Mustafa; Kim, T.; Ayupov, A.; Burns, S.; Öztürk, Özcan. (IEEE, 2016-11)
      As the size of available data is increasing, it is becoming inefficient to scale the computational power of traditional systems. To overcome this problem, customized application-specific accelerators are becoming integral ...
    • Improving efficiency of parallel vertex-centric algorithms for irregular graphs 

      Özdal, Muhammet Mustafa (IEEE Computer Society, 2019)
      Memory access is known to be the main bottleneck for shared-memory parallel graph applications especially for large and irregular graphs. Propagation blocking (PB) idea was proposed recently to improve the parallel performance ...
    • A template-based design methodology for graph-parallel hardware accelerators 

      Ayupov, A.; Yeşil, Şerif; Özdal, Muhammet Mustafa; Kim, T.; Burns, S.; Öztürk, Özcan (IEEE, 2017-05)
      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 ...