CogSys: Efficient and Scalable Neurosymbolic Cognition System via Algorithm-Hardware Co-Design Related Abstract Neurosymbolic AI is an emerging compositional paradigm that fuse neural learning with symbolic reasoning to enhance the transparency, interpretability, and trustworthiness of ...
Experiments show that our co-design optimization for the deformable convolution achieves significant hardware speedup with little accuracy compromised.Qijing HuangDequan WangYizhao GaoYaohui CaiZhen DongBichen WuKurt KeutzerJohn Wawrzynek会议论文
This complete exploration and design process will be referred to as algorithm-hardware co-design. Table 1. Available tools, their abstraction levels, and characteristics. ToolsComputation domainHW KPINon-idealitiesInferenceTrainingPre-trained NN conversionOpen sourceReference System level =ˆ Stage 4 ...
In this work, we provide a framework for evaluating the tradeoff between accuracy and energy usage for QNN, enabling the co-design of hardware and algorithm towards minimal energy use in any application. To verify the suggested framework’s functionality, we use a public standard UCI HAR dataset...
an algorithm-hardware co-design framework dedicated to generalizable NeRF acceleration, which for the first time enables real-time generalizable NeRFs. On the algorithm side, Gen-NeRF integrates a coarse-then-focus sampling strategy, leveraging the fact that different regions of a 3D scene contribute...
K-Selection Microarchitecture Design 假设输入流个数为zz,选择ss个最小的 根据不同的权衡具有两种选择: Option 1:层次优先级队列(HPQ) 通过直接设置zz个优先级队列,通过z个优先队列选择最小的s个。 Option 2: 混合排序、合并和优先队列 整体过程如下所示: 先通过双调排序合并的方式从80个里面选出来16个,之后选...
III. ALGORITHM & HARDWARE CO-DESIGN: OVERVIEW 设计过程从给定的高级规范开始(图 2 顶部)。我们按平台、任务和环境规范对规范进行分组。平台规范对需要在其上实施 VIO 的平台的大小、重量和功率进行了限制。3 任务规范限制了完成给定任务的预期性能。在涉及机器人导航的大多数应用中,任务规范涉及机器人的所需(最...
@article{dong2020codenet, title={CoDeNet: Algorithm-hardware Co-design for Deformable Convolution}, author={Dong, Zhen, and Wang, Dequan and Huang, Qijing and Gao, Yizhao and Cai, Yaohui and Wu, Bichen and Keutzer, Kurt and Wawrzynek, John}, journal={arXiv preprint arXiv:2006.08357}, ...
INS-Assisted GNSS Loop Tracking Hardware Implementation Algorithm DesignINS-assisted GNSS loopHardware implementationTime synchronizationIn GNSS/INS integrated navigation, Due to the deep processing to the baseband level of GNSS, the hardware integration is difficult, so most of them are still in the ...
Design of a High Speed FPGA-Based Classifier for Efficient Packet Classification Packet classification is a vital and complicated task as the processing of packets should be done at a specified line speed. In order to classify a packet ... PV S,,DR Devi 被引量: 0发表: 2014年 A Proposal ...