Recent Publications

Many of the publications listed below are copyrighted by IEEE or ACM. LCA owns copyrights of all unpublished manuscripts listed below. Personal use of these materials is permitted. However, permission to reprint or replublish these materials for resale or redistribution purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works,must be obtained from the IEEE/ACM/LCA.
CADOSys: Cache Aware Design Space Optimization for Spatial ML Accelerators [PDF]
Ruihao Li, Siyuan Ma, Krishna Kavi, Gayatri Mehta, Neeraja J. Yadwadkar, and Lizy K. John.
Great Lakes Symposium on VLSI (GLSVLSI) 2025. June 2025.
HighWave: Large-Scale High-Bandwidth Wave Simulations on FPGAs (Best Paper Nomination) [PDF]
Dimitrios Gourounas, Austin G. James, Bagus Hanindhito, Arash Fathi, Lizy K. John, and Andreas Gerstlauer.
The IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM). May 2025.
Large Language Model Fine-tuning with Low-Rank Adaptation: A Performance Exploration [PDF]
Bagus Hanindhito, Bhavesh Patel, and Lizy K. John.
16th ACM/SPEC International Conference on Performance Engineering (ICPE). May 2025.
SPARK: Sparsity Aware, Low Area, Energy-Efficient, Near-memory Architecture for Accelerating Linear Programming Problems [PDF]
Siddhartha Raman Sundara Raman, Lizy K. John, and Jaydeep P. Kulkarni.
2025 IEEE International Symposium on High-Performance Computer Architecture (HPCA 2025). March 2025.
nanoML for Human Activity Recognition [PDF]
Alan T. L. Bacellar, Mugdha P. Jadhao, Shashank Nag, Priscila M. V. Lima, Felipe M. G. Franca, and Lizy K. John.
TinyML Research Symposium. February 2025.
PIMSAB: A Processing-In-Memory System with Spatially-Aware Communication and Bit-Serial-Aware Computation [PDF]
Siyuan Ma, Kaustubh Mhatre, Jian Weng, Bagus Hanindhito, Zhengrong Wang, Tony Nowatzki, Lizy K. John, and Aman Arora.
ACM Transactions on Architecture and Code Optimization (TACO) (Presented at HiPEAC 2025). January 2025.
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond (Best Paper Award) [PDF]
Stefan Abi-Karam, Rishov Sarkar, Allison Seigler, Sean Lowe, Zhigang Wei, Hanqiu Chen, Nanditha Rao, Lizy K. John, Aman Arora, and Cong Hao.
2024 ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD 2024). September 2024.
arrWNN: Arrhythmia-detecting Weightless Neural Network FlexIC [PDF]
Velu Pillai, Igor D. S. Miranda, Tejas Musale, Mugdha Jadhao, Paulo C. R. Souza Neto, Zachary Susskind, Alan T. L. Bacellar, Mael Lhostis, Priscila Lima, Diego Dutra, Eugene B. John, Mauricio Breternitz Jr., Felipe Franca, Emre Ozer, and Lizy K. John.
2024 IEEE International Flexible Electronics Conference (IFETC' 2024). September 2024.
LogicNets vs. ULEEN : Comparing Two Novel High Throughput Edge ML Inference Techniques on FPGA [PDF]
Shashank Nag, Zachary Susskind, Aman Arora, Alan T.L. Bacellar, Diego L.C. Dutra, Igor D.S. Miranda, Krishnan Kailas, Eugene B. John, Mauricio Breternitz Jr., Priscila M. V. Lima, Felipe M. G. Franca, and Lizy K. John.
2024 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS' 2024). August 2024.
Differentiable Weightless Neural Networks [PDF]
Alan T. L. Bacellar, Zachary Susskind, Mauricio Breternitz Jr., Eugene John, Lizy K. John, Priscila M. V. Lima, and Felipe M. G. Franca.
2024 International Conference on Machine Learning (ICML '24'). July 2024.