Zhang, Pengmiao, Srivastava, Ajitesh, Wang, Ta-Yang, De Rose, Cesar A., Kannan, Rajgopal, and Prasanna, Viktor K. C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access prediction. Retrieved from https://par.nsf.gov/biblio/10297521. International Journal of Data Science and Analytics . Web. doi:10.1007/s41060-021-00268-y.

Zhang, Pengmiao, Srivastava, Ajitesh, Wang, Ta-Yang, De Rose, Cesar A., Kannan, Rajgopal, & Prasanna, Viktor K. C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access prediction. International Journal of Data Science and Analytics, (). Retrieved from https://par.nsf.gov/biblio/10297521. https://doi.org/10.1007/s41060-021-00268-y

Zhang, Pengmiao, Srivastava, Ajitesh, Wang, Ta-Yang, De Rose, Cesar A., Kannan, Rajgopal, and Prasanna, Viktor K. "C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access prediction". International Journal of Data Science and Analytics (). Country unknown/Code not available. https://doi.org/10.1007/s41060-021-00268-y. https://par.nsf.gov/biblio/10297521.

@article{osti_10297521,
place = {Country unknown/Code not available}, title = {C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access prediction}, url = {https://par.nsf.gov/biblio/10297521}, DOI = {10.1007/s41060-021-00268-y}, abstractNote = {}, journal = {International Journal of Data Science and Analytics}, author = {Zhang, Pengmiao and Srivastava, Ajitesh and Wang, Ta-Yang and De Rose, Cesar A. and Kannan, Rajgopal and Prasanna, Viktor K.}, editor = {null} }