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You searched for +publisher:"Princeton University" +contributor:("Jha, Niraj K"). Showing records 1 – 18 of 18 total matches.

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1. Mosenia, Arsalan. Addressing Security and Privacy Challenges in Internet of Things .

Degree: PhD, 2017, Princeton University

 Internet of Things (IoT), also referred to as the Internet of Objects, is envisioned as a holistic and transformative approach for providing numerous services. The… (more)

Subjects/Keywords: Internet of Things; Privacy; Security

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APA (6th Edition):

Mosenia, A. (2017). Addressing Security and Privacy Challenges in Internet of Things . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01fn107145x

Chicago Manual of Style (16th Edition):

Mosenia, Arsalan. “Addressing Security and Privacy Challenges in Internet of Things .” 2017. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp01fn107145x.

MLA Handbook (7th Edition):

Mosenia, Arsalan. “Addressing Security and Privacy Challenges in Internet of Things .” 2017. Web. 19 Apr 2021.

Vancouver:

Mosenia A. Addressing Security and Privacy Challenges in Internet of Things . [Internet] [Doctoral dissertation]. Princeton University; 2017. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp01fn107145x.

Council of Science Editors:

Mosenia A. Addressing Security and Privacy Challenges in Internet of Things . [Doctoral Dissertation]. Princeton University; 2017. Available from: http://arks.princeton.edu/ark:/88435/dsp01fn107145x


Princeton University

2. Yu, Ye. Heterogeneous Monolithic 3D and FinFET Architectures for Energy-efficient Computing .

Degree: PhD, 2019, Princeton University

 More transistors are integrated within the same footprint area as the technology node shrinks to deliver higher performance. However, this is accompanied by higher power… (more)

Subjects/Keywords: Deep learning; FinFET; Heterogeneous architecture; Monolithic 3D integration; Neural network

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APA (6th Edition):

Yu, Y. (2019). Heterogeneous Monolithic 3D and FinFET Architectures for Energy-efficient Computing . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp019g54xm540

Chicago Manual of Style (16th Edition):

Yu, Ye. “Heterogeneous Monolithic 3D and FinFET Architectures for Energy-efficient Computing .” 2019. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp019g54xm540.

MLA Handbook (7th Edition):

Yu, Ye. “Heterogeneous Monolithic 3D and FinFET Architectures for Energy-efficient Computing .” 2019. Web. 19 Apr 2021.

Vancouver:

Yu Y. Heterogeneous Monolithic 3D and FinFET Architectures for Energy-efficient Computing . [Internet] [Doctoral dissertation]. Princeton University; 2019. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp019g54xm540.

Council of Science Editors:

Yu Y. Heterogeneous Monolithic 3D and FinFET Architectures for Energy-efficient Computing . [Doctoral Dissertation]. Princeton University; 2019. Available from: http://arks.princeton.edu/ark:/88435/dsp019g54xm540


Princeton University

3. Dai, Xiaoliang. Synthesis of Efficient Neural Networks .

Degree: PhD, 2019, Princeton University

 Over the last decade, deep neural networks (DNNs) have begun to revolutionize numerous research areas. Their ability to distill knowledge through multi-level abstraction has yielded… (more)

Subjects/Keywords: Computer vision; Deep learning; Neural network

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APA (6th Edition):

Dai, X. (2019). Synthesis of Efficient Neural Networks . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01ff365817r

Chicago Manual of Style (16th Edition):

Dai, Xiaoliang. “Synthesis of Efficient Neural Networks .” 2019. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp01ff365817r.

MLA Handbook (7th Edition):

Dai, Xiaoliang. “Synthesis of Efficient Neural Networks .” 2019. Web. 19 Apr 2021.

Vancouver:

Dai X. Synthesis of Efficient Neural Networks . [Internet] [Doctoral dissertation]. Princeton University; 2019. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp01ff365817r.

Council of Science Editors:

Dai X. Synthesis of Efficient Neural Networks . [Doctoral Dissertation]. Princeton University; 2019. Available from: http://arks.princeton.edu/ark:/88435/dsp01ff365817r


Princeton University

4. Yin, Hongxu. Smart Healthcare via Efficient Machine Learning .

Degree: PhD, 2020, Princeton University

 U.S. healthcare spending reached 3 trillion dollars in 2014 and is expected to rise to 5.4 trillion dollars by 2024. Despite this heavy expenditure, preventable… (more)

Subjects/Keywords: efficient machine learning; neural networks; smart healthcare; wearable medical sensors

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APA (6th Edition):

Yin, H. (2020). Smart Healthcare via Efficient Machine Learning . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01g158bm213

Chicago Manual of Style (16th Edition):

Yin, Hongxu. “Smart Healthcare via Efficient Machine Learning .” 2020. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp01g158bm213.

MLA Handbook (7th Edition):

Yin, Hongxu. “Smart Healthcare via Efficient Machine Learning .” 2020. Web. 19 Apr 2021.

Vancouver:

Yin H. Smart Healthcare via Efficient Machine Learning . [Internet] [Doctoral dissertation]. Princeton University; 2020. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp01g158bm213.

Council of Science Editors:

Yin H. Smart Healthcare via Efficient Machine Learning . [Doctoral Dissertation]. Princeton University; 2020. Available from: http://arks.princeton.edu/ark:/88435/dsp01g158bm213


Princeton University

5. AKMANDOR, AYTEN OZGE. Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart Healthcare .

Degree: PhD, 2020, Princeton University

 Machine learning (ML) algorithms automate the data-label mapping and decision-making processes. The output of the ML algorithms determines the next step in real-world applications. If… (more)

Subjects/Keywords: Accuracy; Energy-efficiency; Machine learning; Security; Smart healthcare

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APA (6th Edition):

AKMANDOR, A. O. (2020). Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart Healthcare . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01v405sd30n

Chicago Manual of Style (16th Edition):

AKMANDOR, AYTEN OZGE. “Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart Healthcare .” 2020. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp01v405sd30n.

MLA Handbook (7th Edition):

AKMANDOR, AYTEN OZGE. “Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart Healthcare .” 2020. Web. 19 Apr 2021.

Vancouver:

AKMANDOR AO. Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart Healthcare . [Internet] [Doctoral dissertation]. Princeton University; 2020. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp01v405sd30n.

Council of Science Editors:

AKMANDOR AO. Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart Healthcare . [Doctoral Dissertation]. Princeton University; 2020. Available from: http://arks.princeton.edu/ark:/88435/dsp01v405sd30n


Princeton University

6. Bhoj, Ajay. Device-circuit co-design approaches for Multi-gate FET technologies .

Degree: PhD, 2013, Princeton University

 Planar CMOS technology has reached its scaling limits at the 22nm node, where it is increasingly difficult to design high-performance low-power devices with good yield… (more)

Subjects/Keywords: Device simulation; Multi-gate FET; Parasitics extraction; Process simulation

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APA (6th Edition):

Bhoj, A. (2013). Device-circuit co-design approaches for Multi-gate FET technologies . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01j098zb18m

Chicago Manual of Style (16th Edition):

Bhoj, Ajay. “Device-circuit co-design approaches for Multi-gate FET technologies .” 2013. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp01j098zb18m.

MLA Handbook (7th Edition):

Bhoj, Ajay. “Device-circuit co-design approaches for Multi-gate FET technologies .” 2013. Web. 19 Apr 2021.

Vancouver:

Bhoj A. Device-circuit co-design approaches for Multi-gate FET technologies . [Internet] [Doctoral dissertation]. Princeton University; 2013. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp01j098zb18m.

Council of Science Editors:

Bhoj A. Device-circuit co-design approaches for Multi-gate FET technologies . [Doctoral Dissertation]. Princeton University; 2013. Available from: http://arks.princeton.edu/ark:/88435/dsp01j098zb18m

7. Tang, Aoxiang. Delay/power modeling and optimization techniques for low-power FinFET logic circuits and architectures .

Degree: PhD, 2015, Princeton University

 Technology scaling has been one of the most fundamental ways to improve chip performance and reduce power consumption. However, as the industry dives deeper into… (more)

Subjects/Keywords: delay modeling; FinFET; genetic algorithm; power modeling; PVT variation; SSTA

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APA (6th Edition):

Tang, A. (2015). Delay/power modeling and optimization techniques for low-power FinFET logic circuits and architectures . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01z890rw568

Chicago Manual of Style (16th Edition):

Tang, Aoxiang. “Delay/power modeling and optimization techniques for low-power FinFET logic circuits and architectures .” 2015. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp01z890rw568.

MLA Handbook (7th Edition):

Tang, Aoxiang. “Delay/power modeling and optimization techniques for low-power FinFET logic circuits and architectures .” 2015. Web. 19 Apr 2021.

Vancouver:

Tang A. Delay/power modeling and optimization techniques for low-power FinFET logic circuits and architectures . [Internet] [Doctoral dissertation]. Princeton University; 2015. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp01z890rw568.

Council of Science Editors:

Tang A. Delay/power modeling and optimization techniques for low-power FinFET logic circuits and architectures . [Doctoral Dissertation]. Princeton University; 2015. Available from: http://arks.princeton.edu/ark:/88435/dsp01z890rw568


Princeton University

8. Chen, Xianmin. FinFET-based System Modeling and Low-Power System Design .

Degree: PhD, 2016, Princeton University

 FinFET has begun to replace MOSFET at the 22nm technology node and beyond. Compared to planar CMOS, FinFET has higher on-current and lower leakage due… (more)

Subjects/Keywords: 3D IC; FinFET; Low-power; NoC; PVT variation; System modeling

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APA (6th Edition):

Chen, X. (2016). FinFET-based System Modeling and Low-Power System Design . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp016t053j389

Chicago Manual of Style (16th Edition):

Chen, Xianmin. “FinFET-based System Modeling and Low-Power System Design .” 2016. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp016t053j389.

MLA Handbook (7th Edition):

Chen, Xianmin. “FinFET-based System Modeling and Low-Power System Design .” 2016. Web. 19 Apr 2021.

Vancouver:

Chen X. FinFET-based System Modeling and Low-Power System Design . [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp016t053j389.

Council of Science Editors:

Chen X. FinFET-based System Modeling and Low-Power System Design . [Doctoral Dissertation]. Princeton University; 2016. Available from: http://arks.princeton.edu/ark:/88435/dsp016t053j389


Princeton University

9. Bhattacharya, Debajit. Exploring the system hierarchy from devices to on-chip communication .

Degree: PhD, 2016, Princeton University

 FinFETs have replaced planar CMOS at and beyond the 22 nm node because of their superior short-channel behavior. Despite their significant advantages in electrostatics, FinFETs… (more)

Subjects/Keywords: 3D Monolithic integration; Capacitance extraction; FinFET; Network on chip; SRAM; TCAD

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APA (6th Edition):

Bhattacharya, D. (2016). Exploring the system hierarchy from devices to on-chip communication . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01cc08hj107

Chicago Manual of Style (16th Edition):

Bhattacharya, Debajit. “Exploring the system hierarchy from devices to on-chip communication .” 2016. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp01cc08hj107.

MLA Handbook (7th Edition):

Bhattacharya, Debajit. “Exploring the system hierarchy from devices to on-chip communication .” 2016. Web. 19 Apr 2021.

Vancouver:

Bhattacharya D. Exploring the system hierarchy from devices to on-chip communication . [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp01cc08hj107.

Council of Science Editors:

Bhattacharya D. Exploring the system hierarchy from devices to on-chip communication . [Doctoral Dissertation]. Princeton University; 2016. Available from: http://arks.princeton.edu/ark:/88435/dsp01cc08hj107

10. Zhang, Meng. Energy-efficient Designs For Securing Embedded and Mobile Computing Systems .

Degree: PhD, 2013, Princeton University

 The proliferation and wide usage of embedded and mobile systems have greatly impacted our lives but have also brought new challenges in secure system design.… (more)

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APA (6th Edition):

Zhang, M. (2013). Energy-efficient Designs For Securing Embedded and Mobile Computing Systems . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp016969z0853

Chicago Manual of Style (16th Edition):

Zhang, Meng. “Energy-efficient Designs For Securing Embedded and Mobile Computing Systems .” 2013. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp016969z0853.

MLA Handbook (7th Edition):

Zhang, Meng. “Energy-efficient Designs For Securing Embedded and Mobile Computing Systems .” 2013. Web. 19 Apr 2021.

Vancouver:

Zhang M. Energy-efficient Designs For Securing Embedded and Mobile Computing Systems . [Internet] [Doctoral dissertation]. Princeton University; 2013. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp016969z0853.

Council of Science Editors:

Zhang M. Energy-efficient Designs For Securing Embedded and Mobile Computing Systems . [Doctoral Dissertation]. Princeton University; 2013. Available from: http://arks.princeton.edu/ark:/88435/dsp016969z0853

11. Yu, Ye. Heterogeneous Monolithic 3D and FinFET Architectures for Energy-efficient Computing .

Degree: PhD, 2019, Princeton University

 More transistors are integrated within the same footprint area as the technology node shrinks to deliver higher performance. However, this is accompanied by higher power… (more)

Subjects/Keywords: Deep learning; FinFET; Heterogeneous architecture; Monolithic 3D integration; Neural network

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APA (6th Edition):

Yu, Y. (2019). Heterogeneous Monolithic 3D and FinFET Architectures for Energy-efficient Computing . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01r781wj908

Chicago Manual of Style (16th Edition):

Yu, Ye. “Heterogeneous Monolithic 3D and FinFET Architectures for Energy-efficient Computing .” 2019. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp01r781wj908.

MLA Handbook (7th Edition):

Yu, Ye. “Heterogeneous Monolithic 3D and FinFET Architectures for Energy-efficient Computing .” 2019. Web. 19 Apr 2021.

Vancouver:

Yu Y. Heterogeneous Monolithic 3D and FinFET Architectures for Energy-efficient Computing . [Internet] [Doctoral dissertation]. Princeton University; 2019. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp01r781wj908.

Council of Science Editors:

Yu Y. Heterogeneous Monolithic 3D and FinFET Architectures for Energy-efficient Computing . [Doctoral Dissertation]. Princeton University; 2019. Available from: http://arks.princeton.edu/ark:/88435/dsp01r781wj908

12. Li, Chunxiao. System design and verification methodologies for secure computing .

Degree: PhD, 2012, Princeton University

 The security of computing systems can be threatened through compromise of system confidentiality, integrity, and availability. As the complexity, programmability, and network connectivity of computing… (more)

Subjects/Keywords: Computer security; Embedded system security

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APA (6th Edition):

Li, C. (2012). System design and verification methodologies for secure computing . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01zk51vg813

Chicago Manual of Style (16th Edition):

Li, Chunxiao. “System design and verification methodologies for secure computing .” 2012. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp01zk51vg813.

MLA Handbook (7th Edition):

Li, Chunxiao. “System design and verification methodologies for secure computing .” 2012. Web. 19 Apr 2021.

Vancouver:

Li C. System design and verification methodologies for secure computing . [Internet] [Doctoral dissertation]. Princeton University; 2012. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp01zk51vg813.

Council of Science Editors:

Li C. System design and verification methodologies for secure computing . [Doctoral Dissertation]. Princeton University; 2012. Available from: http://arks.princeton.edu/ark:/88435/dsp01zk51vg813

13. Mishra, Prateek. Low-power FiNFET circuit design and synthesis under spatial and temporal variability .

Degree: PhD, 2012, Princeton University

 Moore's law has enabled the scaling of CMOS technologies over the past several decades. However, the scaling of conventional transistors beyond 22nm is limited by… (more)

Subjects/Keywords: CAD; DESIGN; FINFET; TRI GATE

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APA (6th Edition):

Mishra, P. (2012). Low-power FiNFET circuit design and synthesis under spatial and temporal variability . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01q237hr980

Chicago Manual of Style (16th Edition):

Mishra, Prateek. “Low-power FiNFET circuit design and synthesis under spatial and temporal variability .” 2012. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp01q237hr980.

MLA Handbook (7th Edition):

Mishra, Prateek. “Low-power FiNFET circuit design and synthesis under spatial and temporal variability .” 2012. Web. 19 Apr 2021.

Vancouver:

Mishra P. Low-power FiNFET circuit design and synthesis under spatial and temporal variability . [Internet] [Doctoral dissertation]. Princeton University; 2012. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp01q237hr980.

Council of Science Editors:

Mishra P. Low-power FiNFET circuit design and synthesis under spatial and temporal variability . [Doctoral Dissertation]. Princeton University; 2012. Available from: http://arks.princeton.edu/ark:/88435/dsp01q237hr980

14. Chuah, Jun Wei. Analysis and Optimization of Building Energy Consumption .

Degree: PhD, 2013, Princeton University

 Energy is one of the most important resources required by modern human society. In 2010, energy expenditures represented 10% of global gross domestic product (GDP).… (more)

Subjects/Keywords: Building energy analysis; Building energy optimization; Green buildings; Localized heating; Occupant-level sensing; ROBESim

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APA (6th Edition):

Chuah, J. W. (2013). Analysis and Optimization of Building Energy Consumption . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01wh246s255

Chicago Manual of Style (16th Edition):

Chuah, Jun Wei. “Analysis and Optimization of Building Energy Consumption .” 2013. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp01wh246s255.

MLA Handbook (7th Edition):

Chuah, Jun Wei. “Analysis and Optimization of Building Energy Consumption .” 2013. Web. 19 Apr 2021.

Vancouver:

Chuah JW. Analysis and Optimization of Building Energy Consumption . [Internet] [Doctoral dissertation]. Princeton University; 2013. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp01wh246s255.

Council of Science Editors:

Chuah JW. Analysis and Optimization of Building Energy Consumption . [Doctoral Dissertation]. Princeton University; 2013. Available from: http://arks.princeton.edu/ark:/88435/dsp01wh246s255

15. Lee, Chun-Yi. Methodologies and Simulation Framework for Architectural Analysis and Power Management of FinFET Chip Multiprocessors .

Degree: PhD, 2013, Princeton University

 This dissertation presents a simulation framework, called FinCANON, for modeling power and timing to support a comprehensive design space exploration of caches and networks-on-chip (NoCs)… (more)

Subjects/Keywords: CACTI-PVT; ETFC; FinCANON; FinFETs; ORION-PVT; VPSR

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APA (6th Edition):

Lee, C. (2013). Methodologies and Simulation Framework for Architectural Analysis and Power Management of FinFET Chip Multiprocessors . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01db78tc087

Chicago Manual of Style (16th Edition):

Lee, Chun-Yi. “Methodologies and Simulation Framework for Architectural Analysis and Power Management of FinFET Chip Multiprocessors .” 2013. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp01db78tc087.

MLA Handbook (7th Edition):

Lee, Chun-Yi. “Methodologies and Simulation Framework for Architectural Analysis and Power Management of FinFET Chip Multiprocessors .” 2013. Web. 19 Apr 2021.

Vancouver:

Lee C. Methodologies and Simulation Framework for Architectural Analysis and Power Management of FinFET Chip Multiprocessors . [Internet] [Doctoral dissertation]. Princeton University; 2013. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp01db78tc087.

Council of Science Editors:

Lee C. Methodologies and Simulation Framework for Architectural Analysis and Power Management of FinFET Chip Multiprocessors . [Doctoral Dissertation]. Princeton University; 2013. Available from: http://arks.princeton.edu/ark:/88435/dsp01db78tc087

16. Chaudhuri, Sourindra Mohan. EFFICIENT DEVICE SIMULATION AND POWER OPTIMIZATION TECHNIQUES FOR NOVEL FINFET CIRCUIT DESIGN .

Degree: PhD, 2015, Princeton University

 Recently, multi-gate transistors have been gaining attention as an alternative to conventional metal oxide semiconductor field-effect transistors (MOSFETs). Superior gate control over the channel, smaller… (more)

Subjects/Keywords: ASYMMETRIC DEVICE; DEVICE SIMULATION; FINFET; POWER OPTIMIZATION

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APA (6th Edition):

Chaudhuri, S. M. (2015). EFFICIENT DEVICE SIMULATION AND POWER OPTIMIZATION TECHNIQUES FOR NOVEL FINFET CIRCUIT DESIGN . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp018336h414d

Chicago Manual of Style (16th Edition):

Chaudhuri, Sourindra Mohan. “EFFICIENT DEVICE SIMULATION AND POWER OPTIMIZATION TECHNIQUES FOR NOVEL FINFET CIRCUIT DESIGN .” 2015. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp018336h414d.

MLA Handbook (7th Edition):

Chaudhuri, Sourindra Mohan. “EFFICIENT DEVICE SIMULATION AND POWER OPTIMIZATION TECHNIQUES FOR NOVEL FINFET CIRCUIT DESIGN .” 2015. Web. 19 Apr 2021.

Vancouver:

Chaudhuri SM. EFFICIENT DEVICE SIMULATION AND POWER OPTIMIZATION TECHNIQUES FOR NOVEL FINFET CIRCUIT DESIGN . [Internet] [Doctoral dissertation]. Princeton University; 2015. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp018336h414d.

Council of Science Editors:

Chaudhuri SM. EFFICIENT DEVICE SIMULATION AND POWER OPTIMIZATION TECHNIQUES FOR NOVEL FINFET CIRCUIT DESIGN . [Doctoral Dissertation]. Princeton University; 2015. Available from: http://arks.princeton.edu/ark:/88435/dsp018336h414d

17. Lin, Chia-Chun. Reversible and Quantum Circuit Synthesis .

Degree: PhD, 2014, Princeton University

 This thesis presents five major tools for the synthesis of reversible and quantum circuits. Quantum computation has the ability to solve several important problems significantly… (more)

Subjects/Keywords: Circuit Synthesis; Quantum Computing; Reversible Computing

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APA (6th Edition):

Lin, C. (2014). Reversible and Quantum Circuit Synthesis . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp015x21tf56w

Chicago Manual of Style (16th Edition):

Lin, Chia-Chun. “Reversible and Quantum Circuit Synthesis .” 2014. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp015x21tf56w.

MLA Handbook (7th Edition):

Lin, Chia-Chun. “Reversible and Quantum Circuit Synthesis .” 2014. Web. 19 Apr 2021.

Vancouver:

Lin C. Reversible and Quantum Circuit Synthesis . [Internet] [Doctoral dissertation]. Princeton University; 2014. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp015x21tf56w.

Council of Science Editors:

Lin C. Reversible and Quantum Circuit Synthesis . [Doctoral Dissertation]. Princeton University; 2014. Available from: http://arks.princeton.edu/ark:/88435/dsp015x21tf56w

18. Shoaib, Mohammed. Design of Energy-efficient Sensing Systems with Direct Computations on Compressively-sensed Data .

Degree: PhD, 2013, Princeton University

 The aim of this thesis is to explore the energy limits that can be achieved by signal-processing systems when they explicitly utilize signal representations that… (more)

Subjects/Keywords: Biomedical Algorithms; Compressive Sensing; Digital Signal Processing; Linear Algebra; Low-power Integrated Circuits; Machine Learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shoaib, M. (2013). Design of Energy-efficient Sensing Systems with Direct Computations on Compressively-sensed Data . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp018s45q890b

Chicago Manual of Style (16th Edition):

Shoaib, Mohammed. “Design of Energy-efficient Sensing Systems with Direct Computations on Compressively-sensed Data .” 2013. Doctoral Dissertation, Princeton University. Accessed April 19, 2021. http://arks.princeton.edu/ark:/88435/dsp018s45q890b.

MLA Handbook (7th Edition):

Shoaib, Mohammed. “Design of Energy-efficient Sensing Systems with Direct Computations on Compressively-sensed Data .” 2013. Web. 19 Apr 2021.

Vancouver:

Shoaib M. Design of Energy-efficient Sensing Systems with Direct Computations on Compressively-sensed Data . [Internet] [Doctoral dissertation]. Princeton University; 2013. [cited 2021 Apr 19]. Available from: http://arks.princeton.edu/ark:/88435/dsp018s45q890b.

Council of Science Editors:

Shoaib M. Design of Energy-efficient Sensing Systems with Direct Computations on Compressively-sensed Data . [Doctoral Dissertation]. Princeton University; 2013. Available from: http://arks.princeton.edu/ark:/88435/dsp018s45q890b

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