Yatish Turakhia
Yatish Turakhia

I am a fifth year PhD candidate at the Electrical Engineering Department of Stanford University. I am highly fortunate to be co-advised by Professor Bill Dally and Professor Gill Bejerano. My current research focuses designing a co-processor for accelerating a wide-range of algorithms involving genomic sequence alignment – from read assembly to remote homology search. I am a recipient of the NVIDIA Graduate Fellowship (2016). In Winter 2018, I also participated in the Ignite Program at the Stanford Graduate School of Business (GSB).

Prior to Stanford, I did my B.Tech and M.Tech (Microelectronics) in Electrical Engineering, along with a Minor in Computer Science and Engineering, from Indian Institute of Technology, Bombay (IIT-B). There, I spent wonderful years working at the High Performance Computing (HPC) lab, headed by Professor Sachin Patkar. My undergraduate research was also supervised by Professor Diana Marculescu and Professor Siddharth Garg, particularly during my two summer internships at Carnegie Mellon University.

Research Interests:
Computer Architecture, Computational Genomics.

[1] B. Raghunathan, Y. Turakhia, S. Garg, D. Marculescu, “Cherry-Picking: Exploiting Process Variations in Dark-Silicon Homogeneous Chip Multi-Processors,” in Proc. IEEE/ACM Design, Automation, and Test in Europe Conference (DATE), Grenoble, France, March 2013 (Paper, Presentation).

[2] Y. Turakhia, B. Raghunathan, S. Garg, D. Marculescu, “HaDeS: Architectural Synthesis for Heterogeneous Dark Silicon Chip Multi-processors,” in Proc. ACM/IEEE Design Automation Conference (DAC), Austin, TX, June 2013 (Paper, Presentation).

[3] V. Kumar, P. Engineer, M. Datar, Y. Turakhia, S. Agarwal, S. Diwale and S. Patkar, “Framework for Application Mapping over Packet-switched Network of FPGAs : Case studies,” FPGAs for Software Programmers (FSP),  London, UK, September 2015 (Paper).

[4] Y. Turakhia, G. Liu, S. Garg, D. Marculescu, “Thread Progress Equalization: Dynamically Adaptive Power-Constrained Performance Optimization of Multi-threaded Applications”,  IEEE Transactions on Computers (TC), 2016 (Paper).

[5] Y. Turakhia, S. Das, T.M. Aamodt, W.J. Dally, “ HoLiSwap: Reducing Wire Energy in L1 Caches ”,  arXiv, 2017 (Paper).

[6] A. Marcovitz, Y. Turakhia, M. Gloudemans, B.A. Braun, H.I. Chen, G. Bejerano, “ A novel unbiased test for molecular convergent evolution and discoveries in echolocating, aquatic and high-altitude mammals ”,  biorXiv, 2017 (Paper).

[7] Y. Turakhia, G. Bejerano, W.J. Dally “Darwin: A Genomics Co-processor provides up to 15,000X acceleration on long read assembly”,  International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Williamsburg, VA, March 2018 (Best Paper Award, Paper, Presentation, The Next Platform article, The Morning Paper, IEEE Micro Top Picks).

[8] Y. Turakhia*, S.D. Goenka*, G. Bejerano, W.J. Dally “Darwin-WGA: A Co-processor Provides Increased Sensitivity in Whole Genome Alignments with High Speedup”,  International Symposium on High-Performance Computer Architecture (HPCA), Washington D.C, February 2019 (Paper, Presentation).

  • Summer 2018 - Microsoft Research (Redmond, WA)
    Research Intern with the Genomics group.
  • Sep 2017 - Mar 2018 - Microsoft Research (Redmond, WA)
    Research SDE with the Genomics group.
  • Summer 2016 - Qualcomm Research (San Diego, CA)
    Research Intern with the SoC Architecture Research (SAR) group.
  • Summer 2015 - Apple Inc. (Cupertino, CA)
    Research Intern with the Platform Architecture group.
  • Summer 2013 - Carnegie  Mellon University (Pittsburgh, PA)
    ECE Research Intern (advised by Prof. Diana Marculescu and Prof. Siddharth Garg).
  • Summer 2012 - Carnegie  Mellon University (Pittsburgh, PA)
    ECE Research Intern (advised by Prof. Diana Marculescu and Prof. Siddharth Garg).

Stanford University

   Teaching Assistant - CS273A: The Human Genome Source Code (Winter 2019).
   Teaching Assistant - EE382C: Interconnection Networks (Spring 2016)
IIT Bombay
Teaching Assistant - EE224: Digital Systems (Spring 2014).
Teaching Assistant - EE717: Advanced Computing for Electrical Engineers (Fall 2013).

Gates Room 214, 353 Serra Mall, Stanford, CA, 94305, U.S.
Email:  yatisht [at] stanford [dot] edu