Efficient Associative Processing with RTM-TCAMs. In none (Eds.), 1st in-Memory Architectures and Computing Applications Workshop (iMACAW), co-located with the 60th Design Automation Conference (DAC'23), 2pp, July 2023. [PUMA: accelerator computing-in-memory myown] URL
Smoothing Disruption Across the Stack: Tales of Memory, Heterogeneity, and Compilers. In IEEE (Eds.), Proceedings of the 2024 Design, Automation and Test in Europe Conference (DATE), 1--10, IEEE, March 2024. [PUMA: accelerator compiler computing-in-memory myown nn] URL
Count2Multiply: Reliable In-memory High-Radix Counting. In arxiv (Eds.), 1-14, Arxiv, September 2024. [PUMA: LLM accelerator computing-in-memory myown] URL
Full-Stack Optimization for CAM-Only DNN Inference. In IEEE (Eds.), Proceedings of the 2024 Design, Automation and Test in Europe Conference (DATE), 1-6, IEEE, March 2024. [PUMA: NN accelerator computing-in-memory myown] URL
C4CAM: A Compiler for CAM-based In-memory Accelerators. In Association for Computing Machinery (Eds.), Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'24), Volume 3, 164--177, Association for Computing Machinery, New York, NY, USA, May 2024. [PUMA: accelerator compiler computing-in-memory myown] URL
NetPU-M: a Generic Reconfigurable Neural Network Accelerator Architecture for MLPs. 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 85-92, 2023. [PUMA: Accelerator FPGA Quantization Reconfiguration myown]