Avalos Baddouh, Cesar, Khairy, Mahmoud, Green, Roland N., Payer, Mathias, and Rogers, Timothy G. Principal Kernel Analysis: A Tractable Methodology to Simulate Scaled GPU Workloads. Retrieved from https://par.nsf.gov/biblio/10302224. MICRO '21: MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture . Web. doi:10.1145/3466752.3480100.

Avalos Baddouh, Cesar, Khairy, Mahmoud, Green, Roland N., Payer, Mathias, & Rogers, Timothy G. Principal Kernel Analysis: A Tractable Methodology to Simulate Scaled GPU Workloads. MICRO '21: MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture, (). Retrieved from https://par.nsf.gov/biblio/10302224. https://doi.org/10.1145/3466752.3480100

Avalos Baddouh, Cesar, Khairy, Mahmoud, Green, Roland N., Payer, Mathias, and Rogers, Timothy G. "Principal Kernel Analysis: A Tractable Methodology to Simulate Scaled GPU Workloads". MICRO '21: MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture (). Country unknown/Code not available. https://doi.org/10.1145/3466752.3480100. https://par.nsf.gov/biblio/10302224.

@article{osti_10302224,
place = {Country unknown/Code not available}, title = {Principal Kernel Analysis: A Tractable Methodology to Simulate Scaled GPU Workloads}, url = {https://par.nsf.gov/biblio/10302224}, DOI = {10.1145/3466752.3480100}, abstractNote = {}, journal = {MICRO '21: MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture}, author = {Avalos Baddouh, Cesar and Khairy, Mahmoud and Green, Roland N. and Payer, Mathias and Rogers, Timothy G.}, editor = {null} }