Algorithm and Data Optimization Techniques for Scaling to Massively Threaded Systems

@article{Stratton2012AlgorithmAD,
  title={Algorithm and Data Optimization Techniques for Scaling to Massively Threaded Systems},
  author={John A. Stratton and Christopher I. Rodrigues and I-Jui Sung and Li-Wen Chang and Nasser Anssari and Geng Liu and Wen-mei W. Hwu and Nady Obeid},
  journal={Computer},
  year={2012},
  volume={45},
  pages={26-32}
}
A study of the implementation patterns among massively threaded applications for many-core GPUs reveals that each of the seven most commonly used algorithm and data optimization techniques can enhance the performance of applicable kernels by 2 to 10× in current processors while also improving future scalability. 
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