Titlebook: Applied Reconfigurable Computing. Architectures, Tools, and Applications; 18th International S Lin Gan,Yu Wang,Thomas Chau Conference proce

choleretic

GLOOM

啜泣

,Real-Time Embedded Object Tracking with Discriminative Correlation Filters Using Convolutional Featobotics, and many more. For applications such as autonomous robots, the system must be implemented on some embedded platform with limited computing performance and power. Furthermore, sufficiently fast response is required from the tracking system in order to perform some real-time tasks. Discrimina

圆锥体

,VenOS: A Virtualization Framework for Multiple Tenant Accommodation on Reconfigurable Platforms,rate them in their infrastructure for on-demand application acceleration. However, accelerator development remains challenging, and ways to program, deploy and securely utilize FPGAs are still difficult to manage both for provider and developer alike. The complexity of such systems is compounded whe

极力证明

Environmental Noise Control Regulations, to test an integrated circuit running at (near) speed with realistic inputs and outputs. The reconfigurable aspect of FPGA technology makes them suitable for hardware emulation and prototyping, plus their nature of having over-provisioned resources — inherently necessary to support the late-binding

Brocas-Area

An Introduction to Oceanography,ics, and MD is one of the core methods in High-Performance Computing (HPC). However, the inherent weak scalability problem of force interactions renders MD simulation quite computationally intensive and challenging to scale. To this end, specialized FPGA-based accelerators have been proposed to solv

表否定

An Introduction to Oceanography,s with better performance and accuracy, an optimized network architecture is required, which can be obtained through experiments and performance evaluation on different network topologies. However, a custom hardware accelerator is not scalable and it lacks the flexibility to switch from one topology

侵蚀

Detonate

Kenneth S. Ramos,Abeer A. I. Hassanin this paper, we review the achievements of code developing in early stage and introduce the development progress recently of this software, including the development of parallel optimization for Sunway new-generation supercomputing system, functional extensions of the software like pre-process funct

Incorruptible

https://doi.org/10.1007/978-3-031-33750-5The challenge of accuracy drop with low bitwidth quantized first convolutional layer and fully connected layers has been resolved. We apply an early-exit strategy to a network model that combines weights and activation with extremely low bitwidth and binary arithmetic precision based on the ImageNet