Stanford Novel Computing Systems Lab
Lab Description
We are interested in developing novel computing systems for unconventional computing paradigms and emerging hardware platforms.
People
Assistant Professor (PI)
Research Direction
Union of students's research directions
PhD Student
Research Direction
Software system for analog circuit and algorithm co-design
Ritvik Sharma
PhD Student
Research Direction
Compilers and tools for Quantum and Sparse Computing
PhD Student
Research Direction
Hyperdimensional computing and other unconventional computing paradigms
PhD Student
Research Direction
Hyperdimensional computing, mobile embedded systems
PhD Student
Research Direction
SMT Solvers for Analog and Mixed-Signal Systems
William Salcedo
M.S. Student
Research Direction
Verification tools for mixed-signal systems, AI generated hardware design methodologies
News
Publications
- Lee, C. Y., Achour, S., & Kapetanovic, Z. (2025). Low-power neuromorphic learning for micro-robotic controls in the wild (Under review).
- Wang, Y. N., & Achour, S. (2024). Shem: A Hardware-Aware Optimization Framework for Analog Computing Systems. arXiv preprint arXiv:2411.03557 (Under review).
- Yi, P., Yang, Y., Lee, C. Y., & Achour, S. (2025, March). Early Termination for Hyperdimensional Computing Using Inferential Statistics. In Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1 (pp. 342-360).
- Iyer, D., & Achour, S. (2025, March). Efficient Optimization with Encoded Ising Models. In 2025 IEEE International Symposium on High Performance Computer Architecture (HPCA) (pp. 85-98). IEEE.
- Achour, S. (2025, January). Towards Design Optimization of Analog Compute Systems. In Proceedings of the 30th Asia and South Pacific Design Automation Conference (pp. 857-864).
- Lee, C. Y., Yi, P. (L.), Fite, M., Rao, T., Achour, S., & Kapetanovic, Z. (2025). HyperCam: Low-power onboard computer vision for IoT cameras. In Proceedings of the 31st Annual International Conference on Mobile Computing and Networking (MobiCom). ACM, Hong Kong.
- Chen, W. C., Wong, H. S. P., & Achour, S. (2024, June). Bitwise Adaptive Early Termination in Hyperdimensional Computing Inference. In Proceedings of the 61st ACM/IEEE Design Automation Conference (pp. 1-6).
- Sharma, R., & Achour, S. (2024). Compilation of Qubit Circuits to Optimized Qutrit Circuits. Proceedings of the ACM on Programming Languages, 8(PLDI), 272-295.
- Salcedo, W., McBeth, C., & Achour, S. (2024). Leveraging Generative AI for Rapid Design and Verification of a Vector Processor SoC. IEEE Design & Test.
- Wang, Y. N., Cowan, G., Rührmair, U., & Achour, S. (2024, April). Design of Novel Analog Compute Paradigms with Ark. In Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 (pp. 269-286).
Tools
Fun Activities
Attributions
This website is based on versions of CS110 and CS111’s website created by John Ousterhout and Jerry Cain – thank you!