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Found 8 papers, 0 papers with code
PAHD: Perception-Action based Human Decision Making using Explainable Graph Neural Networks on SAR Images
This detailed information includes the SAR image features that contributed to the classification, the classification confidence, and the probability of the identified object being classified as a different object type or class.
Exploiting On-chip Heterogeneity of Versal Architecture for GNN Inference Acceleration
To exploit data sparsity during inference, we devise a runtime kernel mapping strategy that dynamically assigns computation tasks to the PL and AIE based on data sparsity.
Graph Neural Network for Accurate and Low-complexity SAR ATR
In this work, we propose a graph neural network (GNN) model to achieve accurate and low-latency SAR ATR.
Towards Programmable Memory Controller for Tensor Decomposition
Implementing accelerators on Field Programmable Gate Array (FPGA) for kernels such as MTTKRP is attractive due to the energy efficiency and the inherent parallelism of FPGA.
Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA
This paper focuses on a multi-faceted memory system, which explores the spatial and temporal locality of the data structures of MTTKRP.
Programmable FPGA-based Memory Controller
Since developing memory controllers for different applications is time-consuming, this paper introduces a modular and programmable memory controller that can be configured for different target applications on available hardware resources.
Reconfigurable co-processor architecture with limited numerical precision to accelerate deep convolutional neural networks
Convolutional Neural Networks (CNNs) are widely used in deep learning applications, e. g. visual systems, robotics etc.
Scalable High Performance SDN Switch Architecture on FPGA for Core Networks
Due to the increasing heterogeneity in network user requirements, dynamically varying day to day network traffic patterns and delay in-network service deployment, there is a huge demand for scalability and flexibility in modern networking infrastructure, which in return has paved way for the introduction of Software Defined Networking (SDN) in core networks.
