Reconfigurable Computing Systems Lab
Aras An Phiarsaigh
Trinity College Dublin
RCSL brings together researchers working across the hardware-software stack for next-generation computing systems. The lab operates at two complementary levels: application and CAD methods for reconfigurable accelerators and adaptive systems, led by Dr. Shreejith Shanker, and VLSI for Custom Chips, led by Dr. George Floros.
Across these areas, our vision is to explore the interplay between hardware and software, and between computation and communication, to reimagine digital systems and infrastructure across technology domains. Our research spans lightweight embedded systems, in-vehicle safety-critical architectures, distributed and network-coupled accelerators, energy-efficient deep neural network acceleration, high-quality image and video processing accelerators, and the VLSI design techniques needed for reliable next-generation programmable chips.
news
| Jun 01, 2025 | Congrats, Dr. Khandelwal! |
|---|---|
| May 01, 2025 | First paper! |
| Apr 09, 2025 | First paper! |
| Oct 18, 2024 | Lab page is live! |
selected publications
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- Extensible FlexRay Communication Controller for FPGA-Based Automotive SystemsTransactions on Vehicular Technology, 2015
- Virtualized FPGA accelerators for efficient cloud computingIn 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom), 2015
- VEGa: A high performance vehicular Ethernet gateway on hybrid FPGAIEEE Transactions on Computers, 2017
- Efficient spectrum sensing for aeronautical LDACS using low-power correlatorsIEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2018
- Build automation and runtime abstraction for partial reconfiguration on Xilinx Zynq Ultrascale+In 2020 International Conference on Field-Programmable Technology (ICFPT), 2020
- Real-time zero-day Intrusion Detection System for Automotive Controller Area Network on FPGAsIn 34th IEEE International Conference on Application-specific Systems, Architectures and Processors, 2023
- Exploring Highly Quantised Neural Networks for Intrusion Detection in Automotive CANIn 33rd International Conference on Field-Programmable Logic and Applications, 2023
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- SecCAN: An Extended CAN Controller with Embedded Intrusion DetectionIEEE Embedded Systems Letters, 2025
- FAV-NSS: An HIL Framework for Accelerating Validation of Automotive Network Security StrategiesIn International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2025
- FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMsIn International Conference on Field-Programmable Logic and Applications, 2025