Project Snapshot
Post-Quantum Cryptography (PQC) is a topic of increased interest in the past decade, both with regards to the cryptosystem definition and the hardware and software implementations to perform at optimum efficiency. We present our ongoing work on the implementation of RISC-V based accelerators for PQC algorithms, in particular the Classic McEliece Key Encapsulation Mechanism. Our system includes a PQC accelerator and an Open-HW Group CVA-6 core along with a PQC-specific instruction set. This presentation describes the architecture, performance estimates, and demonstration plans in the future.
In Their Own Words
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Meet the Authors
Dr. Ambily Suresh
Senior Scientist at Silicon Austria Labs, Graz in Austria
Dr. Ambily Suresh is a Senior Scientist at Silicon Austria Labs. After her bachelor’s in Electronics and Communications Engineering, she spent a few years as an ASIC Design Engineer and was involved in multiple tapeouts. She spent the next decade building instruments and technologies for space astronomy, while doing her PhD from the Indian Institute of Astrophysics at Bangalore and postdoctoral research at the University of Colorado at Boulder. At SAL, she focuses on digital design and ASIC implementation of RISC-V based accelerators.
Dr. Manuel Freiberger
Senior Scientist at Silicon Austria Labs, Graz in Austria
Manuel Freiberger is a senior scientist at Silicon Austria Labs with a PhD in Biomedical Engineering from Graz University of Technology. His early academic work focused on developing algorithms and reconstruction techniques for fluorescence optical tomography. After completing his doctorate, he spent several years in industry, where he contributed to the design and development of high-precision measurement instruments for particle sizing and nano-surface metrology. Currently, he is engaged in research and development projects at the intersection of digital design and artificial intelligence, with a focus on compiler-based tooling and hardware-aware algorithm development.
Andrew Wilson
Junior Scientist at Silicon Austria Labs, Graz in Austria
Andrew Wilson is a junior scientist at SAL. He obtained his Bachelors in Mechatronic Engineering at Ulster University after which he worked R&D at an ISTAR company before starting his masters at SAL in 2023. He is an Open Source and General Software/Engineering/Physics Enthusiast in my spare time among many other things.
Dr. Diego Gigena-Ivanovich
Scientist at Silicon Austria Labs, Graz in Austria
Dr. Diego Gigena Ivanovich is a Scientist in the Embedded Artificial Intelligence group at Silicon Austria Labs in Linz, Austria. He holds a PhD from the National University of the South (UNS), Argentina, where he conducted his doctoral studies under the supervision of Prof. Pedro Julián. His research focuses on the design and ASIC implementation of custom hardware accelerators for machine learning applications within the RISC-V ecosystem. By combining low-power digital design techniques with ML algorithms, he aims to enable high-performance inference on resource-constrained edge devices.
Dr. Willibald Krenn
Head of Research Division at Silicon Austria Labs, Graz in Austria
Dr. Willibald Krenn is the Head of the Embedded Systems Research Division at Silicon Austria Labs. His research interest focuses on HW/SW co-design of dependable intelligent systems at Silicon Austria Labs (SAL). Before joining SAL, he led the Dependable Systems Engineering-team of the AIT Austrian Institute of Technology GmbH and was working as a compiler engineer in a FPGA-based high performance computing start-up in London. Willibald holds a PhD (“Self reasoning in resource constrained devices”) from Graz University of Technology and really enjoys being able to bring together his passion for AI and dependable systems in the context of RISC-V.
