Ananda Samajdar

Synergy Lab @ Georgia Tech

I am a PhD student at the department of Electrical and Computer Engineering (ECE) at Georgia Tech. I am working with Prof. Tushar Krishna as a part of the Synergy group.

I completed Bachelors of Technology (Hons.) in Electronics and Communication Engineering(ECE) from Indian Institute of Information Technology, Allahabad in 2013.

Research

My primary area of focus is Computer Architecture. Currently I am looking into efficient accelerator design for AI workloads from interconnection networks perspective.
I am also super curious about machine learning algorithms and VLSI design.

Here are a few recent projects I've worked on.

SCALE-Sim

SCALE-Sim : Systolic CNN AcceLErator Simulator

MAERI

Enabling Flexible Dataflow Mapping over DNN Accelerators via Reconfigurable Interconnects

Publications

  1. GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware
    Ananda Samajdar, Parth Mannan, Kartikay Garg and Tushar Krishna
    (To appear in) ACM/IEEE 51th International Symposium on Microarchitecture (MICRO-2018)

  2. Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision
    Yuhao Zhu, Ananda Samajdar, Matthew Mattina and Paul Whatmough
    ACM/IEEE 45th International Symposium on Computer Architecture (ISCA-2018)

  3. MAERI: Enabling Flexible Dataflow Mapping over DNN Accelerators via Reconfigurable Interconnects
    Hyoukjun Kwon, Ananda Samajdar, and Tushar Krishna
    23rd ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS-2018)

  4. Rethinking NoCs for Spatial Neural Network Accelerators
    Hyoukjun Kwon, Ananda Samajdar, and Tushar Krishna
    ACM International Symposium on Network-on-Chip (NOCS-2017)
Non archived
  1. Enabling Continuous Learning through Neural Network Evolution in Hardware
    Ananda Samajdar, Kartikay Garg and Tushar Krishna
    3rd workshop on Cognitive Architectures (CogArch-2018)

  2. Algorithm-SoC Co-Design for Energy-Efficient Mobile Continuous Vision
    Yuhao Zhu, Ananda Samajdar, Matthew Mattina and Paul Whatmough
    3rd workshop on Cognitive Architectures (CogArch-2018)

  3. MAERI: Enabling Flexible Dataflow Mapping over DNN Accelerators via Programmable Interconnects
    Hyoukjun Kwon, Ananda Samajdar, and Tushar Krishna
    SysML Conference (Sysml-2018)

Work Experience

I interned at ARM Research from May-Nov 2017, with the machine learning research group. I spent my time there working on accelerator and interface design for machine learning worklaods.

Prior to joining Gatech I was working full time as front end VLSI design engineer at Qualcomm Bangalore from 2013 to 2016. My work involved SoC level RTL integration, power management subsystem design and SoC power ananlysis.

I interned at CHiPES lab at NTU Singapore as a research assistant with Prof T Srikanthan during my final semester. I also worked with the HW Apps team at Qualcomm BDC as an intern in 2012.

For more information see my LinkedIn profile.

Contact Me

You can reach out to me via email:
anandsamajdar [at] gatech [dot] edu

If you are in campus, drop by to say hi!
3305, Klaus Advanced Computing Building
266, Ferst Dr NW, Atlanta, GA, 30332