Highlighted Projects
💫 Near-memory Acceleration for Emerging Workloads
SLIM: A Heterogeneous Accelerator for Edge Inference of Sparse Large Language Model via Adaptive Thresholding
Weihong Xu, Haein Choi, Po-Kai Hsu, Shimeng Yu, and Tajana Rosing
ACM Transactions on Embedded Computing Systems (TECS), 2025
- [TC 2024] RelHDx: Hyperdimensional Computing for Learning on Graphs With FeFET Acceleration
Jaeyoung Kang, Minxuan Zhou, Weihong Xu, and Tajana Rosing
IEEE Transactions on Computers (TC), 2025 - [TCAD 2024] DRAM-based acceleration of open modification search in hyperdimensional space
Jaeyoung Kang, Weihong Xu, Wout Bittremieux, Niema Moshiri, and Tajana Rosing
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024 - [TACO 2024] Abakus: Accelerating k-mer Counting With Storage Technology
Lingxi Wu, Minxuan Zhou, Weihong Xu, Ashish Venkat, Tajana Rosing, and Kevin Skadron
ACM Transactions on Architecture and Code Optimization (TACO), 2024 - [TCAD 2023] RAPIDx: High-performance ReRAM Processing in-Memory Accelerator for DNA Alignment
Weihong Xu, Saransh Gupta, Niema Moshiri, and Tajana Rosing
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023 - [HPCA 2022] TransPIM: A Memory-based Acceleration via Software-Hardware Co-Design for Transformers
Minxuan Zhou∗, Weihong Xu∗, Jaeyoung Kang, and Tajana Rosing
IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2022 * Equal contribution -
[DAC 2022] A Near-Storage Framework for Boosted Data Preprocessing of Mass Spectrum Clustering
Weihong Xu, Jaeyoung Kang, and Tajana Rosing
IEEE/ACM Design Automation Conference (DAC), 2022 - [Under Review] Proxima: Near-storage Acceleration for Graph-based Approximate Nearest Neighbor Search in 3D NAND
Weihong Xu, Junwei Chen, Po-Kai Hsu, Jaeyoung Kang, Minxuan Zhou, Sumukh Pinge, Shimeng Yu, and Tajana Rosing
Under review of IEEE Transactions on Computers, 2024
🤖 Edge AI Chips
Clo-HDnn: A 4.66 TLOPS/W and 3.78 TOPS/W Continual On-Device Learning Accelerator with Energy-Efficient Hyperdimensional Computing via Progressive Search
Chang Eun Song∗, Weihong Xu∗, Keming Fan, Soumil Jain, Gopabandhu Hota, Haichao Yang, Leo Liu, Kerem Akarvardar, Meng-Fan Chang, Carlos H. Diaz, Gert Cauwenberghs, Tajana Rosing, and Mingu Kang
Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2025 * Equal contribution
FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing
Haichao Yang, Chang Eun Song, Weihong Xu, Behnam Khaleghi, Uday Mallappa, Monil Shah, Keming Fan, Mingu Kang, and Tajana Rosing
European Solid-State Electronics Research Conference (ESSERC), 2024
📊 Hyperdimensional Computing
- [TCAD 2025] HyperMetric: Efficient Hyperdimensional Computing With Metric Learning for Robust Edge Intelligence
Weihong Xu, Sean Fuhrman, Keming Fan, Sumukh Pinge, Wei-Chen Chen, and Tajana Rosing
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024 - [ISCA 2025] Hpvm-hdc: A heterogeneous programming system for accelerating hyperdimensional computing
Russel Arbore, Xavier Routh, Abdul Rafae Noor, Akash Kothari, Haichao Yang, Weihong Xu, Sumukh Pinge, Minxuan Zhou, Tajana Rosing, and Vikram Adve
International Symposium on Computer Architecture (ISCA), 2025 - [TCAD 2024] Tri-HD: Train, Re-train, and Infer with Hyperdimensional Computing in Memory
Weihong Xu, Saransh Gupta, Justin Morris, Xincheng Shen, Mohsen Imani, Baris Aksanli, and Tajana Rosing
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024 - [DATE 2024] AttBind: Memory-Efficient Acceleration for Long-Range Attention Using Vector-Derived Symbolic Binding
Weihong Xu, Jaeyoung Kang, and Tajana Rosing
Design, Automation and Test in Europe Conference (DATE), 2024 - [ICCD 2023] HyperMetric: Robust Hyperdimensional Computing on Error-prone Memories using Metric Learning
Weihong Xu, Viji Swaminathan, Sumukh Pinge, Sean Fuhrman, and Tajana Rosing
IEEE International Conference on Computer Design (ICCD), 2023 - [DATE 2023] FSL-HD: Accelerating Few-Shot Learning on ReRAM using Hyperdimensional Computing
Weihong Xu, Jaeyoung Kang, and Tajana Rosing
Design, Automation and Test in Europe Conference (DATE), 2023
🧬 Bioinformatics: Genome and Mass Spectrometry Analysis
HyperGen: Compact and Efficient Genome Sketching using Hyperdimensional Vectors
Weihong Xu, Po-kai Hsu, Niema Moshiri, Shimeng Yu, and Tajana Rosing
Bioinformatics, 2024
- HyperGen is a memory-efficient tool for genomic sketching
HyperSpec: Fast Mass Spectra Clustering in Hyperdimensional Space
Weihong Xu, Jaeyoung Kang, Wout Bittremieux, Niema Moshiri, and Tajana Rosing
Journal of Proteome Research, 2023
- HyperSpec is one of the fastest clustering tool for mass spectrometry data