Our group does computer systems research spanning architecture, software systems, and programming languages. We are currently focused on intermittent computing, efficient edge computing, and developing computer systems for emerging small form-factor satellites.
We release code and documentation on Github.
Here is another full publication list
Architectures for Encrypted Computing
Client-Optimized Algorithms and Acceleration for Encrypted Compute Offloading McKenzie van der Hagen and Brandon Lucia ASPLOS 2022[paper][slides]
Energy-minimal Dataflow Architectures
RipTide: A Programmable Energy-minimal Dataflow Compiler and Architecture Graham Gobieski, Souradip Ghosh, Marijn Huele, Todd Mowry, Tony Nowatzki, Nathan Beckmann, and Brandon Lucia ISCA 2021 [paper][slides]
SNAFU: An Ultra-Low-Power, Energy-Minimal CGRA Generation Framework and Architecture Graham Gobieski, Oguz Aatli, Kenneth Mai, Brandon Lucia, and Nathan Beckmann ISCA 2021 [paper][slides]
MANIC: A Vector-Dataflow Architecture for Ultra-Low-Power Embedded Systems Graham Gobieski, Amolak Nagi, Nathan Serafin, Mehmet Meric Isgenc, Nathan Beckmann and Brandon Lucia MICRO 2019 [paper][slides]
Music Credit: David Balatero
Defining the Intermittent System Stack
Our work is defining the software and hardware system
stack for intermittent computing devices that harvest energy from
their environment. We build real systems for use on Earth and farbeyond.
Transactional Concurrency Control for Intermittent,
Energy-Harvesting Computing Systems Emily Ruppel and Brandon
Lucia PLDI 2019 [paper][slides]
Supporting Peripherals in Intermittent Systems with Just-In-Time Checkpoints Kiwan Maeng and Brandon Lucia PLDI 2019 [paper][slides]
Intelligence Beyond the Edge: Inference on Intermittent Embedded Systems Graham Gobieski, Brandon Lucia, and Nathan Beckmann ASPLOS 2019 [paper][slides]
Adaptive Dynamic Checkpointing for Safe Efficient Intermittent Computing Kiwan Maeng and Brandon Lucia OSDI 2018 [paper][slides]
Migratory Trash Clouds Emily Ruppel, Alexei Colin, and Brandon Lucia ASPLOS "Wild and Crazy Ideas" 2018 [paper][slides]
Intermittent Deep Neural Network Inference Graham Gobieski, Nathan Beckmann, and Brandon Lucia SysML 2018 [paper]
Termination Checking and Task Decomposition for Task-Based Intermittent Programs Alexei Colin, Brandon Lucia CC 2018 [paper]
A Reconfigurable Energy Storage Architecture for Energy-harvesting Devices Alexei Colin, Emily Ruppel, Brandon Lucia ASPLOS 2018 Best Paper Award and IEEE MICRO Top Picks 2018 Hon. Mention [paper]
An Energy-Aware Debugger for Intermittently Powered Systems Alexei Colin, Graham Harvey, Alanson Sample, Brandon Lucia IEEE MICRO, 2017 vol. 37 - Top Picks in Computer Architecture [paper]
Intermittent Computing: Challenges and Opportunities Brandon Lucia, Vignesh Balaji, Alexei Colin, Kiwan Maeng, and Emily Ruppel SNAPL 2017 [paper] [press:AXIOS]
An Energy-interference-free Hardware/Software Debugger for Intermittent Energy-harvesting Systems Alexei Colin, Graham Harvey, Brandon Lucia, Alanson Sample ASPLOS 2016 [paper][slides][Github release][press: Eurekalert, phys.org, Wireless Design Mag, Weekly Hot News] Selected as an IEEE Micro Top Picks 2016 Paper
A Simpler, Safer Programming and Execution Model for Intermittent Systems Brandon Lucia and Benjamin Ransford PLDI 2015[paper][Try DINO!][video abstract]
Efficient Edge Computing
We are developing system software and hardware architectures that make concurrent and parallel computer systems reliable and efficient. We research new parallel computer systems and architectures that make programming easier, that make important applications faster (especially graph computations), and that fill the emerging need for processing at the edge.
Publications
Degree-directed Data Replication for Fast Graph Analytics Vignesh Balaji and Brandon Lucia HPDC 2019 [paper][slides]
When is Graph Reordering an Optimization? Studying the effect of lightweight graph reordering across applications and input graphs Vignesh Balaji and Brandon Lucia IISWC 2018 Best Paper Award[paper][slides]
SOFRITAS: Serializable Ordering-Free Regions for Increasing Thread Atomicity Scalably Christian Delozier, Ariel Eizenberg, Brandon Lucia, Joseph Devietti ASPLOS 2018 [paper]
Flexible Support for Fast Parallel Commutative Updates Vignesh Balaji, Dhruva Tirumala, Brandon Lucia ArXiv [Paper
Overcoming the Dataflow Limit on Parallelism with Structural Approximation Vignesh Balaji, Brandon Lucia, and Radu Marculescu WAX 2016 [paper]
Computational Space Systems
Tartan Artibeus: A Batteryless, Computational Satellite Research Platform Bradley Denby, Emily Ruppel, Vaibhav Singh, Shize Che, Chad Taylor, Fayyaz Zaidi, Swarun Kumar, Zac Manchester, Brandon Lucia 36th Annual Small Satellite Conference (SmallSat) 2022 [paper]
Computer Architecture Research in Space Brandon Lucia ACM SIGARCH Blog [blog post]
Computational Nanosatellite Constellations: Opportunities and Challenges Brandon Lucia, Bradley Denby, Zachary Manchester, Harsh Desai, Emily Ruppel, Alexei Colin ACM GetMobile: Mobile Computing and Communications, Volume 25, Issue 1 [paper]
Orbital Edge Computing: Nanosatellite Constellations as a New Class of Computing System Bradley Denby and Brandon Lucia ASPLOS 2020 [paper][website][music (c/o nc)] ASPLOS 2020 Best Paper Award
Orbital Edge Computing: Data Processing on Nanosatellites Bradley Denby and Brandon Lucia Computer Architecture Letters March 2019 [paper] Selected for Best of CAL in 2019 Featured in IEEE Computer 2020.04 "Spotlight on Transactions"
People
Our group thrives because of the cooperation of a really awesome group of collaborators, PhDs, Masters, Undergraduate, and High School Students.
Lab goes to ISCA 2017 in Toronto (via Niagara Falls)
Emily Ruppel first employment: Research Scientist at Bosch
Vignesh Balaji first employment: Research Scientist in the Architecture Research Group at NVIDIA
Kiwan Maeng first employment: tenure-track assistant professor of CSE at Pennsylvania State University
Alexei Colin first employment: Researcher at the Information Sciences Institute at the University of Southern California
Current and Former Masters and Undergraduate Research Assistants
Yufei Shi (2023-)
Saral Tayal (2022-2023)
Abhishek Anand (2021-2023)
Alok Anand (2021-2023)
Eli Wirth-Aptley (2021-2023)
Anthony Martinez (2021-2023)
Xingran "Maggie" Du (2020-2021)
Chad Taylor (2020-2023)
Shize Che (2020-2022)
Fayyaz Zaidi (2020-2021)
Hailang Liou (2019)
Myles Sherman (2018-2019)
David Hanna (2018-2019)
Nathan Serafin (2018-2019)
Amolak Nagi (2018-2019)
Suyash Bhatt (2018)
Hannah Tomio (2017)
Akshay Kulkarni (2017)
Akansha Patel(2017)
Amanda Marano (2017-2018)
Neil Ryan (2017-2018)
Devon White (2017)
Chris Meredith (2017)
Zesheng Li (2016)
Ridhi Surana (2016)
Naveen Setlur (2015)
Junhong Li (2015)
Dhruva Tirumala (2015)
Preeti Murthy (2015)
Mark McElwaine (2015)
Graham Harvey (Now an Imagineer @ Disney) [Spring 2015]
High School Interns
Our lab has an ongoing internship program with City Charter High School in downtown Pittsburgh. We accept high school interns nearing high school graduation to give them experience doing computer systems research
Dylan Joos (Junior at City Charter High School) [Summer 2019]
Hemank Kohli (CMU APEA program) [Summer 2018]
Beth Ann Kushner (Junior at City Charter High School) [Spring 2017]
Jessie Foley (Junior at City Charter High School) [Summer 2016]
This work was supported in part by the CONIX Research Center, one of six centers in JUMP, a Semiconductor Research Corporation (SRC) program sponsored by DARPA.
