High-Level Synthesis: Past, Present, and Future

By G. Martin, Gary Smith. IEEE Design & Test of Computers, 2009

337 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Information Systems

View Paper: https://www.semanticscholar.org/paper/ca5edf49bc2dd26ccd47b74a154885f4cdf28470

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Joel S. Emer
2. S. Keckler
3. Minsoo Rhu
4. Angshuman Parashar
5. Brucek Khailany
6. Rangharajan Venkatesan
7. Anurag Mukkara
8. William (Bill) J. Dally

In Control and Systems Engineering

1. Joel S. Emer

In Information Systems

1. Joel S. Emer

Citations in the corpus

• SCNN: An accelerator for compressed-sparse convolutional neural networks (2017, methodology): “To prototype the SCNN architecture, we designed an SCNN PE in synthesizable SystemC and then used the Catapult high-level synthesis (HLS) tool [25, 26] to generate Verilog RTL.”