Sonia Lopez Alarcon Headshot

Sonia Lopez Alarcon

Associate Professor

Department of Computer Engineering
Kate Gleason College of Engineering
slaeec@rit.edu
585-475-4081
Office Location
GLE-3421

Sonia Lopez Alarcon

Associate Professor

Department of Computer Engineering
Kate Gleason College of Engineering

Education

BS, Ph.D., Complutense University of Madrid (Spain)

Bio

Dr. Sonia Lopez Alarcon received a Bachelor of Physic degree in Physic and Master degree in Device Physics in 2002 from the University Complutense of Madrid. In her latest college years she worked at Lucent Technologies, Madrid, and Fundetel at Polytechnic University of Madrid, were she became familiar with the design and fabrication process of integrated circuits. In 2003 she started working toward a PhD degree in Computer Engineering at the University Complutense of Madrid, working on cache hierarchy in simultaneous multithreaded architectures. She graduated in 2009, and she joined the Department of Computer Engineering at the Rochester Institute of Technology in the fall of 2009, where she teaches Computing Architecture and Quantum Computing related courses. Her current research interest is on Quantum Computing and heterogeneous hardware solutions. She is particularly interested in the compilation process of quantum circuits, their scalability and resilience to error. For more information, please visit her personal website. 

slaeec@rit.edu
585-475-4081
Personal Links
Personal Website

Select Scholarship

Implementation of Grover’s Algorithm to solve the Maximum Clique Problem. A. Haverly and S. Lopez. International Symposium on VLSI. July 2021

Using Reduced Graphs for Efficient HLS Scheduling. Stephanie Soldavini, Marcin Lukowiak, Sonia Lopez. International Symposium on Circuits and Systems, May 2020

Using Quantum Computers to Study Random Close Packing of Granular Discs, Zachary Gazzillo, Scott Franklin, Sonia Lopez, International Green and Sustainable Computing Conference, October 2019

How Much Cache is Enough? A Cache Behavior Analysis for Machine Learning GPU Architectures, Sonia Lopez, Yash Nimkar, and Gerald Kotas, International Green and Sustainable Computing Conference, October 2018

Alternative Processor within Threshold: Flexible Scheduling on Heterogeneous Systems. S. Karia and S. Lopez. Heterogeneity in Computing Workshop, International Parallel & Distributed Processing Symposium, May 2017

Power Analysis of HLS-Designed Customized Instruction Set Architectures. T. Ananthanarayana, S. Lopez, M. Lukowiak. Reconfigurable Architectures Workshop, International Parallel & Distributed Processing Symposium, May 2017

Designing Customized ISA Processors Using High Level Synthesis. S. Skalicky, T. Ananthanarayana, S. Lopez, M. Lukowiak. International Conference on ReConFigurable Computing and FPGAs. December 2015.

A Parallelizing Matlab Compiler Framework and Run time for Heterogeneous Systems. S. Skalicky, S. Lopez, M. Lukowiak and A. Schmidt. International Conference on High Performance Computing and Communications, HPCC. August, 2015.

Impact of Partitioning Cache Schemes on the Cache Hierarchy of SMT processors. S. Kenyon, S. Lopez and J. Sahuquillo. International Conference on High Performance Computing and Communications, HPCC. August, 2015. Invited paper.

A Unified Hardware/Software MPSoC System Construction and Run-time Framework. S. Skalicky, A. Schmidt, M. French, S. Lopez. Design, Automation and Test in Europe, DATE. March 2015.

Currently Teaching

CMPE-257
Introduction to Quantum Computing and Information Science
3 Credits
We are entering a “quantum age” where it is possible to design and create complex quantum systems whose behaviors are drastically altering the ways we think about computing and information. This course will help students from a broad range of disciplinary backgrounds understand the basic principles of quantum mechanics and how they are leading to innovations in computing and communication. This course teaches the fundamentals of quantum information science with a focus on quantum computing and quantum cryptography. Two state systems (e.g., quantum bits) will be used to introduce foundational concepts of quantum mechanics and the appropriate mathematical formalism needed to understand communication protocols (e.g., quantum key distribution), quantum logic gates, circuits, and algorithms (e.g., Shor’s factoring algorithm). Students will learn about the potential applications of quantum computers and the broader impact they will have on science, technology, and society. Students will also gain hands-on experience with quantum computing tools and simulators developed by quantum computing hardware companies.
CMPE-350
Computer Organization
3 Credits
The course covers the important aspects of the design, organization, and performance evaluation of modern computer systems. Topics include computer performance measures, instruction set architecture classification, input/output organization, CPU datapath and control unit design, microprogramming, arithmetic and logic unit design, and the memory hierarchy, including cache levels and virtual memory.
CMPE-757
Quantum Computing
3 Credits

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