A source-level dynamic analysis methodology and tool for high-level synthesis

Chen, Chih-Tung; Kücükcakar, K.

doi:10.1109/isss.1997.621686

Cited by 2 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to achieve these two main goals the tool needs to perform three main tasks, namely, resource allocation, operation scheduling, and resource binding/sharing (Chen, Su, Sun, & Hauck 2011). Depending on the given design problem and the constraints, these tasks can be executed one after another in the given order or concurrently (Chen, & Kucukcakar, 1997). In addition, if partial binding information is given, the designer needs to consider it during the scheduling phase.…”

Section: High Level Synthesismentioning

confidence: 99%

Ayse

Ozturk

Karaagac

Koc

2014

International Journal of Technology and Educational Marketing

View full text Add to dashboard Cite

This paper presents an educational Electronic Design Automation tool called AYSE (Automated SYstem Synthesis Environment). AYSE is developed to help undergraduate and graduate students better understand and implement fundamental concepts in digital electronic design and synthesis courses. It receives an intermediate format that represents the system behavior and a set of constraints as input; and generates the representation of the actual circuit using the electronic components (functional units, memory and steering logic components) available in its technology library. A user can load the input from an external file or utilize the graphical user interface (GUI). Similarly, the output can be displayed using GUI or written to a file. The user is able to interact with the tool during the synthesis process and select the algorithms to perform three main synthesis tasks; namely, resource allocation, operation scheduling and resource binding/sharing. It is also possible to run the tool for the most efficient solution. The effectiveness of the tool was tested in a graduate level course.

show abstract

Section: High Level Synthesismentioning

confidence: 99%