article · ACM Transactions on Design Automation of Electronic Systems · 2008

Implementing the scale vector-thread processor

Ronny Krashinsky, Christopher Batten, Krste Asanović

Cited by 8Abstract and details only

Abstract

The Scale vector-thread processor is a complexity-effective solution for embedded computing which flexibly supports both vector and highly multithreaded processing. The 7.1-million transistor chip has 16 decoupled execution clusters, vector load and store units, and a nonblocking 32KB cache. An automated and iterative design and verification flow enabled a performance-, power-, and area-efficient implementation with two person-years of development effort. Scale has a core area of 16.6 mm 2 in 180 nm technology, and it consumes 400 mW--1.1 W while running at 260 MHz.

Cite this paper

APA 7

Krashinsky, R., Batten, C., & Asanović, K. (2008). Implementing the scale vector-thread processor. ACM Transactions on Design Automation of Electronic Systems, 13(3), 1–24. https://doi.org/10.1145/1367045.1367050

MLA 9

Krashinsky, Ronny, et al. “Implementing the scale vector-thread processor.” ACM Transactions on Design Automation of Electronic Systems, vol. 13, no. 3, 2008, pp. 1–24, https://doi.org/10.1145/1367045.1367050.

Chicago

Krashinsky, Ronny, Christopher Batten, and Krste Asanović. 2008. “Implementing the scale vector-thread processor.” ACM Transactions on Design Automation of Electronic Systems 13 (3): 1–24. https://doi.org/10.1145/1367045.1367050.

Harvard

Krashinsky, R., Batten, C. and Asanović, K. (2008) ‘Implementing the scale vector-thread processor’, ACM Transactions on Design Automation of Electronic Systems, 13(3), pp. 1–24. Available at: https://doi.org/10.1145/1367045.1367050.

BibTeX

@article{krashinsky2008implementing,
  title = {{Implementing the scale vector-thread processor}},
  author = {Krashinsky, Ronny and Batten, Christopher and Asanović, Krste},
  journal = {ACM Transactions on Design Automation of Electronic Systems},
  volume = {13},
  number = {3},
  pages = {1--24},
  year = {2008},
  doi = {10.1145/1367045.1367050}
}

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