Memory Solution Research Intern
Characterize performance of Samsung's CXL-based memory devices and develop innovative memory solutions and modeling approaches for AI/ML workloads. Mentor: Caroline Kahn.
Characterize performance of Samsung's CXL-based memory devices and develop innovative memory solutions and modeling approaches for AI/ML workloads. Mentor: Caroline Kahn.
Designed a framework for tensor tracking in GenAI workloads for architectural exploration on Xeon Processors. Mentors: Shankar Balachandran, Anant V. Nori, Sreenivas Subramoney.
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%.
Worked with C2000 RTL team to automate RTL generation for memory-mapped register IPs.
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.
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.
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.
Khyati Kiyawat, Yasas Seneviratne, Zhenxing Fan, Morteza Baradaran, Kevin Skadron. "HARMONI: Hierarchical ARchitecture MOdeling for LLMs with Near/In Memory Computing." ISPASS, 2026.
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.
Morteza Baradaran, Khyati Kiyawat, Akhil Shekar, Abdullah Mughrabi, Kevin Skadron. "TriPIM — Exact Triangle Counting on UPMEM PIM for Graph Analytics." MemSys, 2025.
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.
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.
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.
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.
Presentation at TECHCON 2024, USA
Presentation at CAPWIC 2024, USA
Presentation at Open-Source Computer Architecture Research Workshop at ISCA, 2023, Orlando, Florida
CPU/GPU Memory Systems (CS 6501 Special Topics), Spring 2026
CPU/GPU Memory Systems (CS 6501 Special Topics), Spring 2025
Computer Systems and Organization II (CS 3130), Spring 2024
Computer Systems and Organization I (CS 2130), Fall 2023