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2020 – today
- 2020
[j4]Kamran Rahmani, Prabhat Mishra
:
Feature-Based Signal Selection for Post-Silicon Debug Using Machine Learning. IEEE Trans. Emerg. Top. Comput. 8(4): 907-915 (2020)
2010 – 2019
- 2017
- [j3]Kamran Rahmani, Sandip Ray, Prabhat Mishra:
Postsilicon Trace Signal Selection Using Machine Learning Techniques. IEEE Trans. Very Large Scale Integr. Syst. 25(2): 570-580 (2017) - 2016
- [j2]Kamran Rahmani, Sudhi Proch, Prabhat Mishra:
Efficient Selection of Trace and Scan Signals for Post-Silicon Debug. IEEE Trans. Very Large Scale Integr. Syst. 24(1): 313-323 (2016) - 2015
- [c7]Hadi Hajimiri, Kamran Rahmani, Prabhat Mishra:
Efficient Peak Power Estimation Using Probabilistic Cost-Benefit Analysis. VLSID 2015: 369-374 - 2014
- [c6]Kamran Rahmani, Prabhat Mishra, Sandip Ray:
Efficient trace signal selection using augmentation and ILP techniques. ISQED 2014: 148-155 - 2013
- [c5]Kamran Rahmani, Prabhat Mishra, Sandip Ray:
Scalable trace signal selection using machine learning. ICCD 2013: 384-389 - [c4]Kamran Rahmani, Prabhat Mishra:
Efficient Signal Selection Using Fine-grained Combination of Scan and Trace Buffers. VLSI Design 2013: 308-313 - 2012
- [j1]Hadi Hajimiri, Kamran Rahmani, Prabhat Mishra:
Compression-aware dynamic cache reconfiguration for embedded systems. Sustain. Comput. Informatics Syst. 2(2): 71-80 (2012) - [c3]Kamran Rahmani, Prabhat Mishra, Swarup Bhunia:
Memory-based computing for performance and energy improvement in multicore architectures. ACM Great Lakes Symposium on VLSI 2012: 287-290 - [c2]Kamran Rahmani, Hadi Hajimiri, Kartik Shrivastava, Prabhat Mishra:
Synergistic integration of code encryption and compression in embedded systems. ACM Great Lakes Symposium on VLSI 2012: 363-368 - 2011
- [c1]Hadi Hajimiri, Kamran Rahmani, Prabhat Mishra:
Synergistic integration of dynamic cache reconfiguration and code compression in embedded systems. IGCC 2011: 1-8
Coauthor Index
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