.: Welcome to Dr. Akoglu's Reconfigurable Computing Laboratory


Most recent accomplishments:

  • "FPGA Static Power Model for Low-Duty Cycle Embedded Applications " appeared in the ACM Transactions on Reconfigurable Technology and Systems (TRETS) in December 2013.

  • "Integration of Net Length Factor with Timing and Routability Driven Clustering Algorithms," appeared in the ACM Transactions on Reconfigurable Technology and Systems (TRETS) in October 2013.

  • Our work on "Overcoming the Limitations Posed by TCR Repertoire Modeling through a GPU-based In-Silico DNA Recombination Algorithm"
    has been accepted for oral presentation at the 28th IEEE International Parallel & Distributed Processing Symposium (IPDPS)


  • Below is a set of video clips based on our project titled "Depth Supported GPU Based Video Object Segmentation Using the Kinect Sensor". In this project our aim is to show that the additional depth information helps improve the segmentation quality. The main constraint is to achieve at least 25fps with the NVIDIA GPU including the processing time and data transfer overhead. (segmentation without depth information -.wmv, segmentation with depth information -.wmv) (Well done Nilangshu!)