@AFNANAMIN
github

AFNANAMIN

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  • Stars
    star
    98
  • Global Rank 210,785 (Top 8 %)
  • Followers 56
  • Following 39
  • Registered about 7 years ago
  • Most used languages
    Python
         50.0 %
    HTML
         25.0 %
    Dart
         25.0 %
  • Location πŸ‡΅πŸ‡° Pakistan
  • Country Total Rank 604
  • Country Ranking
    Python
         55
    Dart
         488
    HTML
         1,662

Top repositories

1

Resource-Allocation-using-deeprl

Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks
Python
90
star
2

CHARITY-FLUTTER-APP

Dart
2
star
3

Apache-airflow-Workshop

Apache-airflow Workshop
Python
2
star
4

fpga-image-processing

Memory is the biggest limiting factor to the widespread use of FPGAs for high-level image processing, which require complete frame(s) to be stored in situ. Since FPGAs have limited on-chip memory capabilities, efficient use of such resources is essential to meet performance, size and power constraints.s. In this project, we investigate allocation of on-chip memory resources in order to minimize resource usage and power consumption, contributing to the realization of power-efficient high-level image processing fully contained on FPGAs. We propose methods for generating memory architectures, from both Hardware Description Languages and High Level Synthesis designs, which minimize memory usage and power consumption. Based on a formalization of on-chip memory configuration options and a power model, we demonstrate how our partitioning algorithms can outperform traditional strategies. Compared to commercial FPGA synthesis and High Level Synthesis tools.
HTML
1
star