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You searched for +publisher:"University of Illinois – Urbana-Champaign" +contributor:("Rutenbar, Rob A."). Showing records 1 – 8 of 8 total matches.

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University of Illinois – Urbana-Champaign

1. Choi, Jungwook. High performance and error resilient probabilistic inference system for machine learning.

Degree: PhD, Electrical & Computer Engr, 2015, University of Illinois – Urbana-Champaign

 Many real-world machine learning applications can be considered as inferring the best label assignment of maximum a posteriori probability (MAP) problems. Since these MAP problems… (more)

Subjects/Keywords: Belief Propagation (BP); Field-Programmable Gate Array (FPGA); hybrid-core computing platform; Markov Random Field (MRF); sequential tree-reweighted message passing (TRW-S); stereo matching; Error resilience; message passing; algorithmic noise tolerance

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APA (6th Edition):

Choi, J. (2015). High performance and error resilient probabilistic inference system for machine learning. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88204

Chicago Manual of Style (16th Edition):

Choi, Jungwook. “High performance and error resilient probabilistic inference system for machine learning.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 10, 2021. http://hdl.handle.net/2142/88204.

MLA Handbook (7th Edition):

Choi, Jungwook. “High performance and error resilient probabilistic inference system for machine learning.” 2015. Web. 10 Apr 2021.

Vancouver:

Choi J. High performance and error resilient probabilistic inference system for machine learning. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2142/88204.

Council of Science Editors:

Choi J. High performance and error resilient probabilistic inference system for machine learning. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/88204


University of Illinois – Urbana-Champaign

2. Ko, Glenn Gihyun. Sampling architectures for probabilistic inference.

Degree: PhD, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

 In recent years, machine learning (ML) algorithms for applications such as computer vision, machine listening, topic modeling (i.e., extraction) from large text data sets, etc.,… (more)

Subjects/Keywords: Machine learning; Probabilistic graphical model; Probabilistic inference; Markov chain Monte Carlo; Gibbs sampling

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APA (6th Edition):

Ko, G. G. (2017). Sampling architectures for probabilistic inference. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99482

Chicago Manual of Style (16th Edition):

Ko, Glenn Gihyun. “Sampling architectures for probabilistic inference.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 10, 2021. http://hdl.handle.net/2142/99482.

MLA Handbook (7th Edition):

Ko, Glenn Gihyun. “Sampling architectures for probabilistic inference.” 2017. Web. 10 Apr 2021.

Vancouver:

Ko GG. Sampling architectures for probabilistic inference. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2142/99482.

Council of Science Editors:

Ko GG. Sampling architectures for probabilistic inference. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99482


University of Illinois – Urbana-Champaign

3. Kim, Minje. Audio computing in the wild: frameworks for big data and small computers.

Degree: PhD, Computer Science, 2016, University of Illinois – Urbana-Champaign

 This dissertation presents some machine learning algorithms that are designed to process as much data as needed while spending the least possible amount of resources,… (more)

Subjects/Keywords: Machine Learning; Signal Processing; Blind Source Separation; Big Data; Deep Learning; Neural Networks

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APA (6th Edition):

Kim, M. (2016). Audio computing in the wild: frameworks for big data and small computers. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/90573

Chicago Manual of Style (16th Edition):

Kim, Minje. “Audio computing in the wild: frameworks for big data and small computers.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 10, 2021. http://hdl.handle.net/2142/90573.

MLA Handbook (7th Edition):

Kim, Minje. “Audio computing in the wild: frameworks for big data and small computers.” 2016. Web. 10 Apr 2021.

Vancouver:

Kim M. Audio computing in the wild: frameworks for big data and small computers. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2142/90573.

Council of Science Editors:

Kim M. Audio computing in the wild: frameworks for big data and small computers. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/90573


University of Illinois – Urbana-Champaign

4. Lin, Chen-Hsuan. Design automation for circuit reliability and energy efficiency.

Degree: PhD, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

 This dissertation presents approaches to improve circuit reliability and energy efficiency from different angles, such as verification, logic synthesis, and functional unit design. A variety… (more)

Subjects/Keywords: Electronic design automation; Reliability; Energy efficiency; Data mining; Satisfiability (SAT) solving; Logic restructuring; Assertion; Negative bias temperature instability (NBTI) effect; Modulo arithmetic; Shadow datapath

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APA (6th Edition):

Lin, C. (2017). Design automation for circuit reliability and energy efficiency. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99237

Chicago Manual of Style (16th Edition):

Lin, Chen-Hsuan. “Design automation for circuit reliability and energy efficiency.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 10, 2021. http://hdl.handle.net/2142/99237.

MLA Handbook (7th Edition):

Lin, Chen-Hsuan. “Design automation for circuit reliability and energy efficiency.” 2017. Web. 10 Apr 2021.

Vancouver:

Lin C. Design automation for circuit reliability and energy efficiency. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2142/99237.

Council of Science Editors:

Lin C. Design automation for circuit reliability and energy efficiency. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99237


University of Illinois – Urbana-Champaign

5. Huang, Tsung-Wei. Distributed timing analysis.

Degree: PhD, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

 As design complexities continue to grow larger, the need to efficiently analyze circuit timing with billions of transistors across multiple modes and corners is quickly… (more)

Subjects/Keywords: Distributed systems; Timing analysis

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APA (6th Edition):

Huang, T. (2017). Distributed timing analysis. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99302

Chicago Manual of Style (16th Edition):

Huang, Tsung-Wei. “Distributed timing analysis.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 10, 2021. http://hdl.handle.net/2142/99302.

MLA Handbook (7th Edition):

Huang, Tsung-Wei. “Distributed timing analysis.” 2017. Web. 10 Apr 2021.

Vancouver:

Huang T. Distributed timing analysis. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2142/99302.

Council of Science Editors:

Huang T. Distributed timing analysis. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99302

6. Tian, Haitong. Layout decomposition for triple patterning lithography.

Degree: PhD, Electrical & Computer Engr, 2016, University of Illinois – Urbana-Champaign

 Nowadays the semiconductor industry is continuing to advance the limits of physics as the feature size of the chip keeps shrinking. Products of the 22… (more)

Subjects/Keywords: triple patterning; layout decomposition; graph coloring; standard cell designs

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APA (6th Edition):

Tian, H. (2016). Layout decomposition for triple patterning lithography. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/95283

Chicago Manual of Style (16th Edition):

Tian, Haitong. “Layout decomposition for triple patterning lithography.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 10, 2021. http://hdl.handle.net/2142/95283.

MLA Handbook (7th Edition):

Tian, Haitong. “Layout decomposition for triple patterning lithography.” 2016. Web. 10 Apr 2021.

Vancouver:

Tian H. Layout decomposition for triple patterning lithography. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2142/95283.

Council of Science Editors:

Tian H. Layout decomposition for triple patterning lithography. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/95283

7. Kang, Mingu. Deep in-memory computing.

Degree: PhD, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

 There is much interest in embedding data analytics into sensor-rich platforms such as wearables, biomedical devices, autonomous vehicles, robots, and Internet-of-Things to provide these with… (more)

Subjects/Keywords: In-memory processing; Machine learning; Associative memory; Analog processing

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APA (6th Edition):

Kang, M. (2017). Deep in-memory computing. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/98115

Chicago Manual of Style (16th Edition):

Kang, Mingu. “Deep in-memory computing.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 10, 2021. http://hdl.handle.net/2142/98115.

MLA Handbook (7th Edition):

Kang, Mingu. “Deep in-memory computing.” 2017. Web. 10 Apr 2021.

Vancouver:

Kang M. Deep in-memory computing. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2142/98115.

Council of Science Editors:

Kang M. Deep in-memory computing. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/98115

8. Sinclair, Matthew David. Efficient coherence and consistency for specialized memory hierarchies.

Degree: PhD, Computer Science, 2017, University of Illinois – Urbana-Champaign

 As the benefits from transistor scaling slow down, specialization is becoming increasingly important for a wide range of applications. Although traditional heterogeneous systems work well… (more)

Subjects/Keywords: Shared memory; Heterogeneous systems; General purpose graphics processing unit (GPGPU); Caches memories; Cache coherence; Memory consistency; Scratchpads; Fine-grained synchronization

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APA (6th Edition):

Sinclair, M. D. (2017). Efficient coherence and consistency for specialized memory hierarchies. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99316

Chicago Manual of Style (16th Edition):

Sinclair, Matthew David. “Efficient coherence and consistency for specialized memory hierarchies.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 10, 2021. http://hdl.handle.net/2142/99316.

MLA Handbook (7th Edition):

Sinclair, Matthew David. “Efficient coherence and consistency for specialized memory hierarchies.” 2017. Web. 10 Apr 2021.

Vancouver:

Sinclair MD. Efficient coherence and consistency for specialized memory hierarchies. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2142/99316.

Council of Science Editors:

Sinclair MD. Efficient coherence and consistency for specialized memory hierarchies. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99316

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