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Understanding the potential of fpga-based spatial acceleration for large language model inference
H Chen, J Zhang, Y Du, S ** vision transformer on edge
Transformer-like network has shown remarkable high performance in both natural language
processing and computer vision. However, the huge computational demands in non-linear …
processing and computer vision. However, the huge computational demands in non-linear …
Msd: Mixing signed digit representations for hardware-efficient dnn acceleration on fpga with heterogeneous resources
By quantizing weights with different precision for different parts of a network, mixed-precision
quantization promises to reduce the hardware cost and improve the speed of deep neural …
quantization promises to reduce the hardware cost and improve the speed of deep neural …
Uint-packing: Multiply your dnn accelerator performance via unsigned integer dsp packing
DSP blocks are undoubtedly efficient solutions for implementing multiply-accumulate (MAC)
operations on FPGA. Since DSP resources are scarce in FPGA, the advanced solution is to …
operations on FPGA. Since DSP resources are scarce in FPGA, the advanced solution is to …
A hardware design framework for computer vision models based on reconfigurable devices
Z Fan, W Hu, F Liu, D Xu, H Guo, Y He… - ACM Transactions on …, 2024 - dl.acm.org
In computer vision, the joint development of the algorithm and computing dimensions cannot
be separated. Models and algorithms are constantly evolving, while hardware designs must …
be separated. Models and algorithms are constantly evolving, while hardware designs must …
DRViT: A Dynamic Redundancy-Aware Vision Transformer Accelerator via Algorithm and Architecture Co-design on FPGA
X Sun, Y Zhang, Q Wang, X Zou, Y Liu, Z Zeng… - Journal of Parallel and …, 2025 - Elsevier
The multi-modal artificial intelligence (MAI) has attracted significant interest due to its
capability to process and integrate data from multiple modalities, including images, text, and …
capability to process and integrate data from multiple modalities, including images, text, and …
A Vision Transformer Inference Accelerator for KR260
Z Bao, H Li, W Zhang - Proceedings of the 2024 8th International …, 2024 - dl.acm.org
Vision Transformer (ViT) is pivotal in intelligent robotic vision tasks, its real-time
implementation on the edge relies on the design of ViT inference accelerators. KR260 was …
implementation on the edge relies on the design of ViT inference accelerators. KR260 was …