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Accelerating Deep Learning Inference in Constrained Embedded Devices Using Hardware Loops and a Dot Product Unit2020 IEEE Access article Computer Science Parallel Computing and Optimization Techniques Open access cited by 1 patent
Jure Vreča, Karl J. X. Sturm, Ernest Gungl, Farhad Merchant, Paolo Bientinesi, Rainer Leupers, +1 more
17citations -
SoftFlow: Automated HW-SW Confidentiality Verification for Embedded Processors2023 RWTH Publications (RWTH Aachen) conference-paper Computer Science Security and Verification in Computing Open access
Lennart M. Reimann, Jonathan Wiesner, Dominik Šišejković, Farhad Merchant, Rainer Leupers
0citations -
Transfer of Reinforcement Learning-Based Powertrain Controllers From Model- to Hardware-in-the-Loop2025 IEEE Transactions on Vehicular Technology article Computer Science Reinforcement Learning in Robotics
Mario Picerno, Lucas Koch, Kevin Badalian, Marius Wegener, Joschka Schaub, Charles Robert Koch, +1 more
4citations -
HW/SW Formal Co-Verification of Rust-based Designs Using Hardware Abstraction Model2025 IEEE Computer Society Annual Symposium on VLSI conference-paper Computer Science Embedded Systems Design Techniques
Sascha Neske, Bryan Olmos, Shuhang Zhang, M. Kroening, Stefan Lankes, Wolfgang Gerhard Kunz, +1 more
0citations -
A secure hardware-software solution based on RISC-V, logic locking and microkernel2020 International Workshop on Software and Compilers for Embedded Systems (SCOPES) conference-paper Computer Science Security and Verification in Computing
Dominik Šišejković, Farhad Merchant, Lennart M. Reimann, Rainer Leupers, Massimiliano Giacometti, Sascha Kegreiß
21citations -
Enhancing HW-SW Confidentiality Verification for Embedded Processors with SoftFlow’s Advanced Memory Range Feature2024 IFIP advances in information and communication technology conference-paper Computer Science Security and Verification in Computing
Lennart M. Reimann, Jonathan Wiesner, Karol Jaszczyk, Chiara Ghinami, Dominik Germek, Farhad Merchant, +1 more
0citations -
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems2020 arXiv (Cornell University) preprint Computer Science Numerical Methods and Algorithms Open access
Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash S. Kumar
4citations -
Introducing Instruction-Accurate Simulators for Performance Estimation of Autotuning Workloads2025 Proceedings - ACM IEEE Design Automation Conference conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Rebecca Pelke, Nils Bosbach, Lennart M. Reimann, Rainer Leupers
0citations -
FPGA-based Deep Learning Inference Accelerators: Where Are We Standing?2023 ACM Transactions on Reconfigurable Technology and Systems article Computer Science Embedded Systems Design Techniques Open access
Anouar Nechi, Lukas Groth, Saleh Mulhem, Farhad Merchant, Rainer Buchty, Mladen Bereković
73citations