Education

• University of Illinois at Urbana Champaign (UIUC), USA. Jan 2019 - Present
  • PhD - Electrical and Computer Engineering (ECE), Advisor: Prof. Rakesh Kumar
• National University of Sciences and Technology (NUST), Pakistan. Sep 2013 - July 2017
  • Bachelors of Science in Electrical Engineering

Research and Work Experience

• Intel - Graphics research organization (GRO), USA. May 2023 - Present.
  • Graduate Research Intern (Full-time), Manager: Anton Kaplanyan
    • Hardware Acceleration of Stable Diffusion.
• Intel - Next-Gen Architecture (NGA), USA. Aug 2022 - May 2023.
  • Graduate Research Intern (Part-time), Manager: Maxim Kazakov
    • Hardware Acceleration of Neural Graphics.
• Intel - Graphics research organization (GRO), USA. May 2022 - Aug 2022.
  • Graduate Research Intern (Full-time), Manager: Anton Kaplanyan
    • Hardware Acceleration of Neural Graphics.
• Intel Labs - Cloud System Research Lab, USA. Dec 2021 - May 2022.
  • Graduate Research Intern (Part-time), Manager: Nilesh Jain
    • Hardware Acceleration of Neural Radiance Fields.
• Intel Labs - Heterogeneous Platforms Lab (HPL), USA. May 2021 - Aug 2021.
  • Graduate Research Intern (Full-time), Manager: Tanay Karnik
    • Render aware super-resolution.
      • Understanding the impacts of super resolution in the context of end-to-end latency of cloud gaming.
      • Providing hardware support for accelerating deep learning based super resolution.
      • Designing compiler (scheduler) for evaluating the super resolution workloads on the custom accelerator.
• Coordinated Science Laboratory (CSL), UIUC, USA. Jan 2019 - Present
  • Research Assistant, Advisor: Rakesh Kumar
    • Hardware Acceleration of Stable Diffusion - (Ongoing).
    • Understanding Interactions Between Chip Architecture and Uncertainties in Semiconductor Supply and Demand - (Undersubmission).
    • Hardware Acceleration of Neural Graphics - ISCA-50th, 2023
    • Exploiting Short Application Lifetimes for Low Cost Hardware Encryption in Flexible Electronics - DATE2023
    • DHPVM: Distributed Heterogeneous Parallel Virtual Machine (CS598LCE) - Slides
    • Outer Product CPU Instruction for Accelerator-level Neural Network Computation Throughput (CS498ME)
    • Rethinking Programmable Earable Processors ISCA-49th, 2022
    • Model-specific Design of Deeply-Embedded Tiny Neural Network Accelerators (Ongoing)
    • Printed Machine Learning Classifiers MICRO-53rd, 2020
    • Printed Microprocessors ISCA-47th, 2020
• National Electronics Complex of Pakistan (NECOP), Pakistan. Jul 2017 - Oct 2018
  • RF and Microwave Design Engineer - Assistant Manager
    • Designed and Developed IMF Receiver, Antennas for Phased Array Radar, Branched Line HybridCoupler, Power Dividers and Band Pass Filters for X-Band Applications.
• MERL - NUST, Pakistan. June 2016- July2017
  • Research Intern
    • Designed and Developed a ”Low Cost Short Range Frequency Modulated Continuous Wave Radar(FMCW) Radar”. (Second Position in Rector’s Gold Medal Competition - NUST.

Skills

• Programming languages: SystemVerilog, Python, C++, bash.
• Tools: TensorFlow, Synopsis Design-Compiler, GEM5, Cadence Place and Route, Cadence Stratus-HLS, HPVM, g++, gcc, git, Xilinx, Sci-kit Learn.

Publications

• Understanding Interactions Between Chip Architecture and Uncertainties in Semiconductor Supply and Demand
  R. Kanungo, S. Swamy, N. Bleier, M. Mubarik and R. Kumar, arXiv preprint.
• Hardware Acceleration of Neural Graphics
  M. Mubarik, R. Kanungo, T. Zirr and R. Kumar, ISCA-50th, 2023 paper, local-pdf, arXiv preprint, SLIDES, Lightning-talk.
• Exploiting Short Application Lifetimes for Low Cost Hardware Encryption in Flexible Electronics
  N. BLEIER, M. Mubarik, S. Balaji, F. Rodriguez, A. Sou, S. White and R. Kumar, DATE 2023
• Rethinking Programmable Earable Processors
  N. BLEIER, M. Mubarik, S. Chakraborty, S. Kishore, R. Kumar, paper, ISCA-49th, 2022
• Printed Machine Learning Classifiers
  M. Mubarik, D. Weller, N. BLEIER, M. Tomei, M. J. Aghassi-Hagmann, M. Tahoori, R. Kumar, paper, MICRO-53rd, 2020, IEEE Micro Top Picks - Honorable Mention 2021.
• Printed Microprocessors
  N. Bleier, M. Mubarik, F. Rasheed, J. Aghassi-Hagmann, M. Tahoori, and R. Kumar, paper, ISCA-47th, 2020 Selected for the retrospective of the years 1996 through 2020 on the 50th anniversary of ISCA.

Talks

• Presented “Hardware Acceleration of Neural Graphics” paper at ISCA 2023 SLIDES, Lightning-talk.
• Gave a talk on “Neural Graphics: An Architecture’s Perspective” at ECE498SJP: Accelerator Architectures class at UIUC [2023]. Slides
• Presented “Printed Machine Learning Classifiers” paper at MICRO 2020 VIDEO.
• Gave a talk on “Hardware for Deep Learning” at ECE511: Advanced Computer Architecture class at UIUC [2021]. Slides

Acaemic Achievements and Awards

• Selected for the retrospective of the years 1996 through 2020 on the 50th anniversary of ISCA for our paper “Printed Microprocessors” (ISCA-47th, 2020).
• Machine Learning and Systems Rising Star 2023.
  • Harvard, Google, Nvidia and MLCommons.
• IEEE Micro Top Picks - Honorable Mention 2021.
• Prime Minister’s Silver Medal2018, NUST-CEME.
• NECOP Fellowship 2014-2017.
• High Achievers Award, NUST-CEME.
• Golden Star Award, NUST-CEME.
• NUST GPA scholarships 2013-2017.

Courses

• ECE-598NSG: Deep Learning in Hardware (Naresh Shanbhag).
• CS-598SVA: App-Cust Heterogeneous Systems (Sarita Adve).
• ECE-511: Advanced Computer Architecture (Rakesh Kumar).
• CS-533: Parallel Computer Architecture (Josep Torrellas).
• CS-598JT: Energy Efficient Computer Architecture (Josep Torrellas).
• ECE-524/CS-563: Advanced Computer Security (Adam Bates).
• CS498ME Architecture for Mobile and Edge Computing (Saugata Ghose).
• CS598LCE Languages and Compilers for Edge Computing (Vikram S. Adve).
• ECE598MS: Advanced Memory and Storage Systems (Jian Huang).
• CS598DWH: 3D Vision (Derek W Hoiem).
• CS534: Advanced Topics in Computer Architecture (Sarita Adve).
• ECE498SJP: Accelerator Architectures (Sanjay Patel).