Scaling to the end of silicon with EDGE architectures
By Doug Burger, S. Keckler, Kathryn S. McKinley, M. Dahlin, L. John, Calvin Lin, C. R. Moore, J. Burrill, Robert G. McDonald, William Yode. Computer, 2004
377 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/246174d13e20abd8626e4a25933605cb9974cebe
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
In Hardware and Architecture
Citations in the corpus
- Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks (2016, background): “The expected performance advantage and large design space of coarse-grained SAs has inspired much research on the evaluation of its architectures, control schemes, operation scheduling and dataflow models [30] [31] [32] [33] [34] [35].”