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Circuit designs for increasing reliability and reducing energy

Seyedi, Azamolsadat (Date of defense: 2016-02-02)

Computing technology has witnessed an inimitable progress in the last decades which is the result of CMOS technology scaling commensurate with Moore's law. Transistor feature sizes have shrunk to half ...

Leveraging disaggregated accelerators and non-volatile memories to improve the efficiency of modern datacenters

Call Barreiro, Aaron (Date of defense: 2022-11-07)

(English) Traditional data centers consist of computing nodes that possess all the resources physically attached. When there was the need to deal with more significant demands, the solution has been to ...

Crowdsensing-driven route optimisation algorithms for smart urban mobility

Mrazovic, Petar (Date of defense: 2018-10-22)

Urban rörlighet anses ofta vara en av de främsta möjliggörarna för en hållbar statsutveckling. Idag skulle det dock kräva ett betydande skifte mot renare och effektivare stadstransporter vilket skulle ...

Semantic metadata for supporting exploratory OLAP

Varga, Jovan (Date of defense: 2017-01-24)

On-Line Analytical Processing (OLAP) is an approach widely used for data analysis. OLAP is based on the multidimensional (MD) data model where factual data are related to their analytical perspectives ...

Memory systems for high-performance computing: the capacity and reliability implications

Živanovič, Darko (Date of defense: 2018-07-02)

Memory systems are signicant contributors to the overall power requirements, energy consumption, and the operational cost of large high-performance computing systems (HPC). Limitations of main memory ...

Algorithms and methodologies for interconnect reliability analysis of integrated circuits

Jain, Palkesh (Date of defense: 2017-05-05)

The phenomenal progress of computing devices has been largely made possible by the sustained efforts of semiconductor industry in innovating techniques for extremely large-scale integration. Indeed, ...

Gender bias in natural language processing

Basta, Christine Raouf Saad (Date of defense: 2022-10-14)

(English) Gender bias is a dangerous form of social bias impacting an essential group of people. The effect of gender bias is propagated to our data, causing the accuracy of the predictions in models ...

Low-power architectures for automatic speech recognition

Tabani, Hamid (Date of defense: 2018-02-21)

Automatic Speech Recognition (ASR) is one of the most important applications in the area of cognitive computing. Fast and accurate ASR is emerging as a key application for mobile and wearable devices. ...

Performance characterization and optimization of in-memory data analytics on a scale-up server

Awan, Ahsan Javed (Date of defense: 2017-12-15)

The sheer increase in volume of data over the last decade has triggered research in cluster computing frameworks that enable web enterprises to extract big insights from big data. While Apache Spark ...

Design, monitoring and performance evaluation of high capacity optical networks

Shariati, Mohammad Behnam (Date of defense: 2019-02-22)

Internet traffic is expected to keep increasing exponentially due to the emergence of a vast number of innovative online services and applications. Optical networks, which are the cornerstone of the ...

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Circuit designs for increasing reliability and reducing energy

Leveraging disaggregated accelerators and non-volatile memories to improve the efficiency of modern datacenters

Crowdsensing-driven route optimisation algorithms for smart urban mobility

Semantic metadata for supporting exploratory OLAP

Memory systems for high-performance computing: the capacity and reliability implications

Algorithms and methodologies for interconnect reliability analysis of integrated circuits

Gender bias in natural language processing

Low-power architectures for automatic speech recognition

Performance characterization and optimization of in-memory data analytics on a scale-up server

Design, monitoring and performance evaluation of high capacity optical networks

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