Lizy Kurian John - Department of Electrical and Computer Engineering, The University of Texas at Austin

基本信息

Career Trajectory

Bio

Professor John's research has been supported by the National Science Foundation, Semiconductor Research Consortium (SRC), DARPA, Lockheed Martin, AMD, Oracle, Huawei, IBM, Intel, Motorola, Freescale, Dell, Samsung, Texas Instruments, etc.. She is recipient of NSF CAREER award (1996), UT Austin Engineering Foundation Faculty Award (2001), Halliburton, Brown and Root Engineering Foundation Young Faculty Award (1999), University of Texas Alumni Association Teaching Award (2004), The Pennsylvania State University Outstanding Engineering Alumnus (2011) etc.

ACM Fellow in 2020

Research Interests

Papers共 483 篇Author StatisticsCo-AuthorSimilar Experts

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Cross-FPGA Power Estimation from High Level Synthesis Via Transfer-Learning

Zhigang Wei,Aman Arora,Emily Shriver,Lizy Kurian John

FPGA '24 Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrayspp.187, (2024)

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Soon Filter: Advancing Tiny Neural Architectures for High Throughput Edge Inference

Alan T. L. Bacellar,Zachary Susskind,Maurício Breternitz,Lizy K. John,Felipe M. G. França,Priscila M. V. Lima

IJCNNpp.1-8, (2024)

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SACHI: A Stationarity-Aware, All-Digital, Near-Memory, Ising Architecture

Siddhartha Raman Sundara Raman,Lizy K. John,Jaydeep P. Kulkarni

2024 IEEE INTERNATIONAL SYMPOSIUM ON HIGH-PERFORMANCE COMPUTER ARCHITECTURE, HPCA 2024（2024）

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BLQ: Light-Weight Locality-Aware Runtime for Blocking-Less Queuing

Qinzhe Wu,Ruihao Li,Jonathan Beard,Lizy John

PROCEEDINGS OF THE 33RD ACM SIGPLAN INTERNATIONAL CONFERENCE ON COMPILER CONSTRUCTION, CC 2024pp.100-112, (2024)

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Differentiable Weightless Neural Networks

Alan Bacellar,Zachary Susskind,Mauricio Breternitz Jr,Eugene John,Lizy John,Priscila Lima,Felipe França

ICML 2024 (2024)

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HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond

Stefan Abi-Karam,Rishov Sarkar, Allison Seigler, Sean Lowe, Zhigang Wei,Hanqiu Chen,Nanditha Rao,Lizy John,Aman Arora,Cong Hao

PROCEEDINGS OF THE 2024 ACM/IEEE INTERNATIONAL SYMPOSIUM ON MACHINE LEARNING FOR CAD, MLCAD 2024 (2024)

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Bandwidth Characterization of DeepSpeed on Distributed Large Language Model Training

Bagus Hanindhito,Bhavesh Patel,Lizy K. John

IEEE International Symposium on Performance Analysis of Systems and Softwarepp.241-256, (2024)

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Accelerating ML Workloads Using GPU Tensor Cores: the Good, the Bad, and the Ugly

Bagus Hanindhito,Lizy K. John

PROCEEDINGS OF THE 15TH ACM/SPEC INTERNATIONAL CONFERENCE ON PERFORMANCE ENGINEERING, ICPE 2024pp.178-189, (2024)

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PIMSAB: A P Rocessing- I N- M Emory System with S Patially- A Ware Communication and B It-Serial-aware Computation

Siyuan Ma, Kaustubh Mhatre,Jian Weng,Bagus Hanindhito,Zhengrong Wang,Tony Nowatzki,Lizy John,Aman Arora

ACM Transactions on Architecture and Code Optimization (2024)

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Securitycloak: Protection Against Cache Timing and Speculative Memory Access Attacks

Fernando Mosquera,Ashen Ekanayake, William Hua,Krishna Kavi,Gayatri Mehta,Lizy John

JOURNAL OF SYSTEMS ARCHITECTURE (2024)

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