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Tanvir Ahmed Khan

I am a 5th year Ph.D. candidate in the Electrical Engineering and Computer Science Department at the University of Michigan. My research interest lies in the intersection of compilers, operating systems, and computer architecture. Specifically, I am interested in designing novel profile-guided optimization mechanisms to improve instruction and data locality of modern data center applications. My Ph.D. advisor is Baris Kasikci. I also collaborate with Barzan Mozafari (University of Michigan), Gilles Pokam (Intel Labs), Joseph Devietti (University of Pennsylvania), and Heiner Litz (University of California, Santa Cruz). Before starting my Ph.D. at the University of Michigan, I was a Lecturer in the Computer Science and Engineering Department at the Bangladesh University of Engineering and Technology. I also earned my M.Sc. and B.Sc. in Computer Science and Engineering from the Bangladesh University of Engineering and Technology. I also worked as a Research Intern at Microsoft and ARM and as a Software Engineer Intern at Facebook.

News

  • October 2021: Shixin Song, an undergraduate student mentored by me, won first place at MICRO 2021 Student Research Competition (SRC).
  • October 2021: Our performance analysis methodology for data center applications is adopted for Arm Neoverse N1 Core, the leading data center CPU with a 49% AWS EC2 footprint. Driving profile-guided optimizations, this methodology made real-world workloads 2X faster. For more details, check out the full methodology and the blogpost.
  • September 2021: My summer 2020 Facebook internship work on Linux kernel binary layout optimization is presented at the Linux plumbers conference.
  • August 2021: I will serve in the ASPLOS'22 External Review Committee.
  • July 2021: Twig (profile-guided BTB prefetching for data center applications) and PDede (a new BTB design for data center applications) are accepted to appear at MICRO'21.
  • March 2021: DMon (efficient detection and correction of data locality problems using selective profiling) is accepted to appear at OSDI'21.
  • March 2021: Ripple (profile-guided instruction cache replacement for data center applications) is accepted to appear at ISCA'21.
  • December 2020: Persistent memory file mapping work (led by Ian Neal) is accepted to appear at FAST'21.
  • September 2020: I will serve in the EuroSys'21 Shadow PC.
  • August 2020: Video transcoding characterization work is accepted to appear at IISWC'20. Congrats to Yuhan Chen and Jingyuan Zhu who performed most of the work as part of their course project under my mentorship.
  • August 2020: Our proposal on improving instruction locality for data center applications is awarded FoMR grant. Thanks NSF and Intel.
  • July 2020: I will serve in the ASPLOS'21 External Review Committee.
  • July 2020: I-SPY is accepted to appear at MICRO'20.
  • June 2020: Started Internship with Facebook BOLT team.
  • February 2020: Nathan Brown, an undergraduate student mentored by me, won first place at CGO 2020 Student Research Competition (SRC).
  • January 2020: Facebook Fellowship Finalist.
  • January 2020: I will serve in the MLSys'20 Artifact Evaluation Committee.
  • December 2019: I will serve in the PLDI'20 Artifact Evaluation Committee.
  • December 2019: I will serve in the ASPLOS'20 Artifact Evaluation Committee.
  • August 2019: I will serve in the SOSP'20 Artifact Evaluation Committee.
  • June 2019: Presented Huron at PLDI'19. Thanks PLMW Student Scholarship for covering conference registration, accommodation, and travel.
  • May 2019: Started internship with Microsoft Azure.
  • April 2019: Huron artifact is awarded "Artifacts Available" and "Artifacts Evaluated Functional" badge.
  • February 2019: Huron is accepted to appear at PLDI'19.
  • October 2018: Attended OSDI. Thanks OSDI student grant for covering conference registration, accommodation, and travel.
  • August 2017: Started Ph.D. at UMich with Rollin M. Gerstacker Foundation Fellowships.