Works (7)

2013 journal article

Locality principle revisited: A probability-based quantitative approach

Journal of Parallel and Distributed Computing, 73(7), 1011–1027.

By: S. Gupta, P. Xiang, Y. Yang & H. Zhou

Source: NC State University Libraries
Added: August 6, 2018

2013 journal article

The implementation of a high performance GPGPU compiler

International Journal of Parallel Programming, 41(6), 768–781.

By: Y. Yang & H. Zhou

Source: NC State University Libraries
Added: August 6, 2018

2012 journal article

A unified optimizing compiler framework for different GPGPU architectures

ACM Transactions on Architecture and Code Optimization, 9(2).

By: Y. Yang, P. Xiang, J. Kong, M. Mantor & H. Zhou

Source: NC State University Libraries
Added: August 6, 2018

2012 conference paper

CPU-assisted GPGPU on fused CPU-GPU architectures

International symposium on high-performance computer, 103–114.

By: Y. Yang, P. Xiang, M. Mantor & H. Zhou

Source: NC State University Libraries
Added: August 6, 2018

2012 conference paper

Locality principle revisited: A probability-based quantitative approach

2012 ieee 26th international parallel and distributed processing symposium (ipdps), 995–1009.

By: S. Gupta, P. Xiang, Y. Yang & H. Zhou

Source: NC State University Libraries
Added: August 6, 2018

2010 journal article

An optimizing compiler for GPGPU programs with input-data sharing

ACM SIGPLAN Notices, 45(5), 343–344.

By: Y. Yang, P. Xiang, J. Kong & H. Zhou

Source: NC State University Libraries
Added: August 6, 2018

2010 conference paper

An optimizing compiler for GPGPU programs with input-data sharing

ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), 343–344.

By: Y. Yang, P. Xiang, J. Kong & H. Zhou

Source: NC State University Libraries
Added: August 6, 2018