Titlebook: Applied Reconfigurable Computing; 13th International S Stephan Wong,Antonio Carlos Beck,Luigi Carro Conference proceedings 2017 Springer In

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书目名称Applied Reconfigurable Computing影响因子(影响力)




书目名称Applied Reconfigurable Computing影响因子(影响力)学科排名




书目名称Applied Reconfigurable Computing网络公开度




书目名称Applied Reconfigurable Computing网络公开度学科排名




书目名称Applied Reconfigurable Computing被引频次




书目名称Applied Reconfigurable Computing被引频次学科排名




书目名称Applied Reconfigurable Computing年度引用




书目名称Applied Reconfigurable Computing年度引用学科排名




书目名称Applied Reconfigurable Computing读者反馈




书目名称Applied Reconfigurable Computing读者反馈学科排名

耐寒

挑剔小责

https://doi.org/10.1007/978-1-4020-8913-8an architecture targeting real-time embedded image and video processing, which combines runtime reconfigurable processing, low-latency and high performance. Being a configurable architecture allows the combination of powerful video processing operators (Processing Elements or PEs) to build the targe

cancer

Eco-Efficiency in Industry and Sciencesimulation results, large sets of workloads need to be evaluated. In this work, we present a neural in-memory simulator capable of executing deep learning applications inside 3D-stacked memories. With the reduction of data movement and by including a simple accelerator layer near to memory, our syst

做方舟

Zygfryd A. Nowak,Michal J. Cichyhat is designed to stream data between intermediate stages of an image processing pipeline. These pipelines are commonplace in medical applications such as X-ray imagers. By using a streaming memory hierarchy, performance is increased by a factor that depends on the number of stages (. when using 4

完整

https://doi.org/10.1007/978-1-4020-8913-8ey are activated, the goal is to avoid cumbersome and sometimes destructive pre-fabrication and pre-deployment tests for Trojans in SoCs, by building systems capable of capturing Trojan activation or simply nullifying their effect at run-time to prevent damage to the system. To reach this goal, non-

Anthropoid

https://doi.org/10.1007/978-94-010-0197-7 Verilog and VHDL are widely used to design FPGA accelerators, however, they require significant expertise and considerable design efforts. Recent advances in high-level synthesis have brought forward tools that relieve the burden of FPGA application development but the achieved performance results

COMMA

https://doi.org/10.1007/978-94-010-0197-7ring system development, hardware implementations require particular attention to take full advantage of performance gains through parallelization when using hashes. For many use cases, such as hash tables or Bloom filters, several independent short hash values for the same input key are needed. Her

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Nausea

https://doi.org/10.1007/978-94-010-0197-7ed as hard cores (ASIC) or soft cores (RTL). Soft reconfigurable cores outperform hard reconfigurable cores by preserving the ASIC synthesis flow, at the cost of lowering scalability but also exacerbating timing closure issues. This article tackles these two issues and introduces the ARGen generator