A quantitative performance analysis model for GPU architectures

By Yao Zhang, John Douglas Owens. 2011 IEEE 17th International Symposium on High Performance Computer Architecture, 2011

316 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems

View Paper: https://www.semanticscholar.org/paper/e4827160affa489adc4d80a2ffa3bfa7ac2a00a8

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

1. Timothy G. Rogers
2. Mahmoud Khairy
3. Tor M. Aamodt
4. Zhesheng Shen

In Hardware and Architecture

1. Timothy G. Rogers
2. Mahmoud Khairy
3. Tor M. Aamodt
4. Zhesheng Shen

In Information Systems

1. Tor M. Aamodt
2. Timothy G. Rogers

Citations in the corpus

• Accel-Sim: An Extensible Simulation Framework for Validated GPU Modeling (2018, background): “Many previous works [4], [20], [21], [71], [74], [75] aim to estimate the execution time of GPGPU applications throughout source-level analysis, however they do not perform detailed performance modeling for architecture research.”