The System-Level Architecture and Modeling (SLAM) group is concerned with system-level design of resource-constrained and application-/domain-specific embedded, high-performance and edge computing systems. Research in the lab spans from novel hardware/software fabrics and System-on-Chip (SoC) architectures to system-level design automation methods and tools, with a special emphasis on underlying system modeling foundations.
News 
-
November 02, 2024
Best Paper Award for Alex for his SoK Paper on “Power Side-Channel Malware Detection” at the International Workshop on Hardware and Architectural Support for Security and Privacy (HASP).
-
October 17, 2024
Ph.D. Defense Congratulations to Dr. Erika (Susy) Alcorta for succesfully defending her thesis titled “Machine Learning-Based Proactive Runtime Management”! Susy will join Ampere Computing this fall.
-
August 25, 2023
Congratulations to Erika and Matthew for being awarded the Qualcomm Innovation Fellowship!
Active Research Projects
Predictive Modeling for Next-Generation Heterogeneous Computer System Design
Read more »Accelerator-Rich, Heterogeneous Multi-Core Architectures
Read more »Network-Level Design of Cyber-Physical Networks-of-Systems
Read more »People
Faculty
Andreas Gerstlauer
Professor
Graduate Students
Kamyar Mirzazad Barijough
Ph.D. Candidate
Alexander Cathis
Ph.D. Student
Matthew Barondeau
Ph.D. Student
James Boyle
Master's/Ph.D. Student
Daniel Peralta Velazquez
Master's/Ph.D. Student
Jason Ho
Master's/Ph.D. Student
Ph.D. Alumni
Erika Susana Alcorta Lozano
2024, Ampere Computing, Portlan, OR
Kishore Punniyamurthy
2021, AMD Research, Austin, TX
Mochamad Asri
2020, Facebook (FRL), Menlo Park, CA
Zhuoran Zhao
2019, Facebook, Menlo Park, CA
Wooseok Lee
2019, Samsung Architecture Research Center (SARC), Austin, TX
Seogoo Lee
2017, Cadence, Pittsburgh, PA
Xinnian Zheng
2017, co-supervised with Prof. John, NVIDIA, Austin, TX
Dongwook Lee
2017, Microsoft, Redmond, WA
Jin Miao
2014, co-supervised with Prof. Orshansky, Cadence, San Jose, CA
Parisa Razaghi
2014, Cadence, San Jose, CA
Dylan Pfeifer
2014, co-supervised with Prof. Valvano, Intel, Austin, TX
Ardavan Pedram
2013, co-supervised with Prof. van de Geijn), post-doc at Stanford
Ku He
2012, co-supervised with Prof. Orshansky, Cirrus Logic, Austin, TX
Ahmed Abdel Hadi
2011, co-supervised with Prof. Vishwanath, post-doc at Virginia Tech
Master's Alumni
Madison Threadgill
2024, Nvidia, Austin, TX
Pranav Rama
2024, Ph.D. at UT Austin
Jackson Farley
2021, Texas Instruments, Dallas, TX
Ajay Krishna Ananda Kumar
2020, Apple, Cupertino, CA
Malek Srour
2018, Apple, Cupertino, CA
Abhishek Das
2016, Ph.D. at UT Austin
Sabine Francis
2015, Intel, Austin, TX
Wenxiao Yu
2015, Salesforce, San Francisco, CA
Ashmita Sinha
2012, Intel, Austin, TX
Manan Kathuria
2012, Intel Mobile Communications, NJ
Suhas Chakravarty
2012, Freescale, India
Arindam Goswami
2011, National Instruments, Austin, TX
Pablo Salinas Bomfim
2010, Digital Development S.A., Paraguay