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Dynamic Machine Learning Based Matching of Nonvolatile Processor Microarchitecture to Harvested Energy Profile.

K. Ma, X. Li, Y. Liu, J. Sampson, Y. Xie, and V. Narayanan. ICCAD, page 670-675. IEEE, (2015)

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Nonvolatile Processor Architecture Exploration for Energy-Harvesting Applications.K. Ma, X. Li, S. Li, Y. Liu, J. Sampson, Y. Xie, and V. Narayanan. IEEE Micro, 35 (5): 32-40 (2015)Tunnel FET RF Rectifier Design for Energy Harvesting Applications.H. Liu, X. Li, R. Vaddi, K. Ma, S. Datta, and V. Narayanan. IEEE J. Emerg. Sel. Topics Circuits Syst., 4 (4): 400-411 (2014)Energy-performance trade-offs for spatial access methods on memory-resident data.N. An, S. Gurumurthi, A. Sivasubramaniam, N. Vijaykrishnan, M. Kandemir, and M. Irwin. VLDB J., 11 (3): 179-197 (2002)Energy Efficient and Reliable System Design.N. Vijaykrishnan. VLSI-SOC, page 6-9. Technische Universität Darmstadt, Insitute of Microelectronic Systems, (2003)Network-on-Chip Architectures - A Holistic Design ExplorationC. Nicopoulos, V. Narayanan, and C. Das. Lecture Notes in Electrical Engineering Springer, (2010)Managing Leakage Energy in Cache Hierarchies.L. Li, I. Kadayif, Y. Tsai, N. Vijaykrishnan, M. Kandemir, M. Irwin, and A. Sivasubramaniam. J. Instruction-Level Parallelism, (2003)DRAM Energy Management Using Software and Hardware Directed Power Mode Control.V. Delaluz, M. Kandemir, N. Vijaykrishnan, A. Sivasubramaniam, and M. Irwin. HPCA, page 159-169. IEEE Computer Society, (2001)Tuning Garbage Collection in an Embedded Java Environment.G. Chen, R. Shetty, M. Kandemir, N. Vijaykrishnan, M. Irwin, and M. Wolczko. HPCA, page 92-103. IEEE Computer Society, (2002)Formulation and Validation of an Energy Dissipation Model for the Clock Generation Circuitry and Distribution Networks.D. Duarte, N. Vijaykrishnan, M. Irwin, and M. Kandemir. VLSI Design, page 248-253. IEEE Computer Society, (2001)Compiler-Directed Array Interleaving for Reducing Energy in Multi-Bank Memories.V. Delaluz, M. Kandemir, N. Vijaykrishnan, M. Irwin, A. Sivasubramaniam, and I. Kolcu. VLSI Design, page 288-. IEEE Computer Society, (2002)

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Dynamic Machine Learning Based Matching of Nonvolatile Processor Microarchitecture to Harvested Energy Profile.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Dynamic Machine Learning Based Matching of Nonvolatile Processor Microarchitecture to Harvested Energy Profile.

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Dynamic Machine Learning Based Matching of Nonvolatile Processor Microarchitecture to Harvested Energy Profile.