This paper presents a novel 32-bit floating-point FPGA-based hardware accelerator for SENSE ( HW-ACC-SENSE ); having an ability to work in coordination with an on-chip ARM processor performing reconstructions for different values of L and A f . Moreover, the proposed design provides ...
HEPCloud: An FPGA-based Multicore Processor for FV Somewhat Homomorphic Function Evaluation In this paper we present an FPGA based hardware accelerator 'HEPCloud' for homomorphic evaluations of medium depth functions which has applications in clou... Sinha Roy, Sujoy,K Jarvinen,J Vliegen,... -...
Actually, H.264/AVC is the most popular standard; the high performance that offers magnifies the difficulty of a real-time implementation. This complexity is mainly related to the operation of the motion estimation and requires high computational power. This paper presents an efficient hardware ...
能量消耗略高于最优化设计,平均为每个图像13mJ。测试设计包括四百个神经元的单层,并使用FPGA上可用资源的约40%。这使其适用于边缘的时间受限应用,同时为FPGA上的其他加速任务留出空间。 关键词 SNN,LIF,MNIST,FPGA,神经加速 引言 人工神经网络是一种复杂的计算学习模型,通常利用企业数据中心和公共云基础设施的计算...
FPGA-based hardware acceleration for dropout-based Bayesian Neural Networks. deep-learningbayesian-neural-networksfpga-accelerator UpdatedAug 15, 2023 Python A crypto accelerator written for HLS to an FPGA that actually makes it slower than running it on your computer ...
This is a configurable flow accelerator for moving common network flow processes into hardware; we believe the company is using a P4 processor. This frees the Arm cores to focus on more computationally intensive tasks at both the flow and packet level. From what’s published, TruFlow seams to...
北大的CEEC也看过相应论文：Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural ...
et al. A speed FPGA hardware accelerator based FSBMA-VBSME used in H.264/AVC. Evolving Systems 7, 233–241 (2016). https://doi.org/10.1007/s12530-015-9140-6 Download citation Received06 May 2015 Accepted07 October 2015 Published22 October 2015 Issue DateDecember 2016 DOIhttps://doi.org...
Finally, Broadcom added its somewhat mysterious TruFlow technology. This is a configurable flow accelerator for moving common network flow processes into hardware; we believe the company is using a P4 processor. This frees the Arm cores to focus on more computationally intensive tasks at both the ...
Hardware Accelerator for Multi-Head Attention and Position-Wise Feed-Forward in the Transformer S. Lu, M. Wang, S. Liang, J. Lin, and Z. Wang, “Hardware Accelerator for Multi-Head Attention and Position-Wise Feed-Forward in the Transformer,” in2020 IEEE 33rd International System-on-Chip...