Now showing items 1-4 of 4

    • Accelerating pagerank with a heterogeneous two phase CPU-FPGA algorithm 

      Usta, Furkan (Bilkent University, 2021-01)
      PageRank is a network analysis algorithm that is used to measure the importance of each vertex in a graph. Fundamentally it is a Sparse Matrix-Vector multiplication problem and suffers from the same bottlenecks, such as ...
    • Accelerator design for graph analytics 

      Yeşil, Şerif (Bilkent University, 2016-06)
      With the increase in data available online, data analysis became a significant problem in today’s datacenters. Moreover, graph analytics is one of the significant application domains in big data era. However, traditional ...
    • 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 ...
    • Parallelization of Sparse Matrix Kernels for big data applications 

      Selvitopu, Oğuz; Akbudak, Kadir; Aykanat, Cevdet (Springer, 2016)
      Analysis of big data on large-scale distributed systems often necessitates efficient parallel graph algorithms that are used to explore the relationships between individual components. Graph algorithms use the basic adjacency ...