Publications (13)
High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors
Siqi Wang, Gayathri Ananthanarayanan, Yifan Zeng +3
IoT Edge intelligence requires Convolutional Neural Network (CNN) inference to take place in the edge devices itself. ARM big.LITTLE architecture is at the heart of prevalent comme…
SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation
Yixian Shen, Qi Bi, Jia-Hong Huang +3
Low-rank adaptation (LoRA) has been demonstrated effective in reducing the trainable parameter number when fine-tuning a large foundation model (LLM). However, it still encounters…
Energy-Efficient QoS-Aware Scheduling for S-NUCA Many-Cores
Sudam M. Wasala, Jurre Wolff, Yixian Shen +3
Optimizing performance and energy efficiency in many-core processors, especially within Non-Uniform Cache Access (NUCA) architectures, remains a critical challenge. The performance…
Neural Network Inference on Mobile SoCs
Siqi Wang, Anuj Pathania, Tulika Mitra
The ever-increasing demand from mobile Machine Learning (ML) applications calls for evermore powerful on-chip computing resources. Mobile devices are empowered with heterogeneous m…
Spectral-Progressive Thought Flow for Lightweight Multimodal Reasoning
Yixian Shen, Zhiheng Yang, Qi Bi +6
Multimodal spatial reasoning often relies on long chains of intermediate textual and visual thoughts, where accumulating visual tokens and dense cross-modal attention incur substan…
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection
Yixian Shen, Qi Bi, Jia-Hong Huang +3
We present a new adaptation method MaCP, Minimal yet Mighty adaptive Cosine Projection, that achieves exceptional performance while requiring minimal parameters and memory for fine…