Kais Kudrolli

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 4

Top Topics

Sparse Approximation

Experimental Study

Avoid Overfitting

Lessons Learned

Top Venues

Proc. ACM Meas. Anal. Comput. Syst.

SIGMETRICS (Abstracts)

Publications

Noah Gamboa, Kais Kudrolli, Anand Dhoot, Ardavan Pedram
Campfire: Compressible, Regularization-Free, Structured Sparse Training for Hardware Accelerators. CoRR (2020)
Saugata Ghose, Abdullah Giray Yaglikçi, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study. CoRR (2018)
Saugata Ghose, Abdullah Giray Yaglikçi, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study. Proc. ACM Meas. Anal. Comput. Syst. 2 (3) (2018)
Saugata Ghose, Abdullah Giray Yaglikçi, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study. SIGMETRICS (Abstracts) (2018)