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 LCA owns copyrights of all unpublished manuscripts listed below.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.
Accelerating ML Workloads using GPU Tensor Cores: The Good, the Bad, and the Ugly [PDF]
Bagus Hanindhito and Lizy K. John.
15th ACM/SPEC International Conference on Performance Engineering. May 2024.
Bandwidth Characterization of DeepSpeed on Distributed Large Language Model Training [PDF]
Bagus Hanindhito, Bhavesh Patel, and Lizy K. John.
2024 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS'24). May 2024.
BLQ: Light-Weight Locality-Aware Runtime for Blocking-Less Queuing [PDF]
Qinzhe Wu, Ruihao Li, Jonathan Beard, and Lizy John.
ACM SIGPLAN 33rd International Conference on Compiler Construction. March 2024.
SACHI: A Stationarity-Aware, All-Digital, Near-Cache, Ising Architecture
Siddhartha Raman Sundara Raman, Lizy K. John, and Jaydeep P. Kulkarni.
The 30th International Symposium on High-Performance Computer Architecture (HPCA-30). March 2024.
ULEEN: A Novel Architecture for Ultra-low-energy Edge Neural Networks [PDF]
Zachary Susskind, Aman Arora, Igor Dantas Dos Santos Miranda, Alan T. L. Bacellar, Luis Armando Quintanilla Villon, Rafael Fontella Katopodis, Leandro Santiago de Araujo, Diego Leonel Cadette Dutra, Priscila Machado Vieira Lima, Felipe Maia Galvao Franca, Mauricio Breternitz Jr., and Lizy K. John.
ACM Transactions on Architecture and Code Optimization (TACO). December 2023.
Architectural Support for Message Queue Task Parallelism [PDF]
Qinzhe Wu.
Department of Electrical and Computer Engineering, The University of Texas at Austin. August 2023.
Optimizing FPGA Architecture for Deep Learning Workloads [PDF]
Aman Arora.
Department of Electrical and Computer Engineering, The University of Texas at Austin. August 2023.
A conditional branch predictor based on weightless neural networks [PDF]
Luis Armando Quintanilla Villon, Zachary Susskind, Alan T. L. Bacellar, Igor Dantas Dos Santos Miranda, Leandro Santiago de Araujo, Priscila Machado Vieira Lima, Mauricio Breternitz Jr., Lizy K. John, Felipe Maia Galvao Franca, and Diego Leonel Cadette Dutra.
Neurocomputing . 2023.
COIN: Combinational Intelligent Networks [PDF]
Igor Dantas Dos Santos Miranda, Aman Arora, Zachary Susskind, Josias S. A. Souza, Mugdha P. Jadhao, Luis Armando Quintanilla Villon, Diego Leonel Cadette Dutra, Priscila Machado Vieira Lima, Felipe Maia Galvao Franca, Mauricio Breternitz Jr., and Lizy K. John.
IEEE International Conference on Application-Specific Systems, Architectures, and Processors (ASAP) . 2023.
CoMeFa: Deploying Compute-in-Memory on FPGAs for Deep Learning Acceleration. [PDF]
Aman Arora, Atharva Bhamburkar, Aatman Borda, Tanmay Anand, Rishabh Sehgal, Bagus Hanindhito, Pierre-Emmanuel Gaillardon, Jaydeep Kulkarni, and Lizy K. John.
ACM Transactions on Reconfigurable Systems (TRETS). 2023.