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Education

B.Tech., Electronics & Communication Engineering, Indian Institute of Technology (IIT) Roorkee, 2020 — GPA: 9.23/10.0
Ph.D., Computer Science (Computer Architecture), University of Virginia, 2027 (expected) — GPA: 3.88/4.0
- Advisor: Prof. Kevin Skadron

Industry Experience

Memory Solution Research Intern

Samsung Semiconductor, USA, USA | May 2026 – Aug 2026 (expected)

Characterize performance of Samsung's CXL-based memory devices and develop innovative memory solutions and modeling approaches for AI/ML workloads. Mentor: Caroline Kahn.

Processor Architecture Research Intern

Intel, India, India | May 2024 – Jan 2025

Designed a framework for tensor tracking in GenAI workloads for architectural exploration on Xeon Processors. Mentors: Shankar Balachandran, Anant V. Nori, Sreenivas Subramoney.

Front-end Design Verification Engineer

Texas Instruments, India, India | Jul 2020 – Jul 2022

Verified SoC integration for C2000 real-time MCUs; handled silicon debugs on ATE; developed Perl-based automation framework reducing manual effort and errors by 80%.

Front-end Design Verification Intern

Texas Instruments, India, India | Apr 2019 – Jul 2019

Worked with C2000 RTL team to automate RTL generation for memory-mapped register IPs.

Research Projects

Research Project Intern

Nagoya University, Graduate School of Informatics, Nagoya, Japan | Dec 2019 – Feb 2020

Proposed a real-time Minimum Energy Point tracking method on RISC-V-based PULPino processor with at most 3.1% energy loss. Advisor: Prof. Tohru Ishihara.

Research Project — Scale-free Hyperbolic CORDIC Architecture

Indian Institute of Technology Roorkee, ECE Department, Roorkee, India | Aug 2019 – Nov 2021

Designed a low-latency CORDIC architecture to compute sinh and cosh functions with desired precision using a novel power-of-2 Taylor series approximation. Advisor: Prof. Bishnu P Das.

Research Project Intern — Image Processing based Fish Seed Counting

Indian Institute of Technology Bombay, VLSI Design Lab, Mumbai, India | May 2018 – Jul 2018

Proposed a novel data-acquisition apparatus to create a training dataset for a crowd-counting-based CNN model for fish seed counting. Advisor: Prof. Maryam S. Baghini.

Publications

HARMONI: Hierarchical ARchitecture MOdeling for LLMs with Near/In Memory Computing

Khyati Kiyawat, Yasas Seneviratne, Zhenxing Fan, Morteza Baradaran, Kevin Skadron. "HARMONI: Hierarchical ARchitecture MOdeling for LLMs with Near/In Memory Computing." ISPASS, 2026.

Sangam: A Chiplet-Based DRAM-PIM Accelerator with CXL Integration for LLM Inferencing

Khyati Kiyawat, Zhenxing Fan, Yasas Seneviratne, Morteza Baradaran, Akhil Shekar, Zihan Xia, Mingu Kang, Kevin Skadron. "Sangam: A Chiplet-Based DRAM-PIM Accelerator with CXL Integration for LLM Inferencing." arXiv, Nov 2025.

TriPIM — Exact Triangle Counting on UPMEM PIM for Graph Analytics

Morteza Baradaran, Khyati Kiyawat, Akhil Shekar, Abdullah Mughrabi, Kevin Skadron. "TriPIM — Exact Triangle Counting on UPMEM PIM for Graph Analytics." MemSys, 2025.

Membrane: Accelerating Database Analytics with DRAM-Based PIM Filtering and Schema Denormalization

Akhil Shekar, Kevin Gaffney, Martin Prammer, Khyati Kiyawat, Lingxi Wu, Helena Caminal, Zhenxing Fan, Yimin Gao, Ashish Venkat, José F. Martínez, Jignesh Patel, Kevin Skadron. "Membrane: Accelerating Database Analytics with DRAM-Based PIM Filtering and Schema Denormalization." ACM TACO, 2025.

Architectural Modeling and Benchmarking for Digital DRAM PIM

F. Siddique, D. Guo, Z. Fan, M. Gholamrezaei, M. Baradaran, A. Ahmed, H. Abbot, K. Durrer, K. Nandagopal, E. Ermovick, K. Kiyawat, B. Gul, A. Mughrabi, A. Venkat, K. Skadron. "Architectural Modeling and Benchmarking for Digital DRAM PIM." IISWC, 2024.

An Efficient Scaling-Free Folded Hyperbolic CORDIC Design Using a Novel Low-Complexity Power-of-2 Taylor Series Approximation

A. Verma, K. Kiyawat, B. P. Das and P. K. Meher, "An Efficient Scaling-Free Folded Hyperbolic CORDIC Design Using a Novel Low-Complexity Power-of-2 Taylor Series Approximation," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 31, no. 8, pp. 1167-1177, Aug. 2023.

Real-time minimum energy point tracking using a predetermined optimal voltage setting strategy

K. Kiyawat, Y. Masuda, J. Shiomi and T. Ishihara, "Real-Time Minimum Energy Point Tracking Using a Predetermined Optimal Voltage Setting Strategy", 2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pp. 415-421, 2020.

Awards and Achievements

Selected to participate in CRA-WP Grad Cohort Workshop for Women, San Francisco, USA, 2023
UVA Engineering Distinguished Fellowship 2022 (awarded to top Ph.D. applicants)
Semi-finalist, Swadeshi Microprocessor Challenge 2020–21 (RISC-V based prototype for autonomous emergency distress system)
Honda Y-E-S Award 2018; Y-E-S Plus Scholarship 2019 (research internship in Japan)
Quarter-finalist, India Innovation Challenge Design Contest (IICDC) 2018, Texas Instruments
1988 Batch Award 2017 (undergraduate academic merit award, IIT Roorkee)
First prize in Spectrum (circuit design), Third prize in Ideaz (innovative IoT applications), Tech Fest IIT Roorkee 2017

Service and Leadership

Artifact Evaluation Committee Member, ISCA 2024, 2025
Steering Committee Member, Computer Architecture Student Association (CASA), 2025 — leading the Computer Architecture Long-term Mentorship (CALM) program
Co-organized Systems Interest Group (SIG) meetings, University of Virginia (Nov 2022 – May 2024)
Mentored junior PhD student on CS doctoral program navigation, CS Graduate Student Group, Fall 2024 – Fall 2025
Mentored CS undergraduate on graduate school applications, Engineering Grad School Mentor Program, Fall 2024 – Fall 2025
Rise Together, Charlottesville, VA — assisted high school students with US college applications (Oct 2023 – April 2024)
SOPAN, IIT Roorkee — weekly educational outreach for primary and middle school students in nearby rural village (Aug 2018 – May 2020)
Unnat Bharat Abhiyan, IIT Roorkee — leveraged IIT technical expertise for rural development initiative (Sep 2016 – May 2018)
Student Mentorship Programme, IIT Roorkee — mentored 12 first-year students (Aug 2018 – May 2020)

Khyati Kiyawat(she/her)

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