Temperature-Aware Design and Management for 3D Multi-Core Architectures

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The application of Personal Comfort Systems (PCS) in the buildings demonstrated their potential to improve thermal comfort and reduce energy use by the space conditioning HVAC systems. With its personal controllability (on-demand) PCS is a practical soluti ...

Smart thermostats are increasingly popular in homes and buildings as they improve occupant comfort, lower energy use in heating and cooling systems, and reduce utility bills by automatically adjusting room temperature according to measurements of their bui ...

In this thesis, we reveal that supervised learning and inverse problems share similar mathematical foundations. Consequently, we are able to present a unified variational view of these tasks that we formulate as optimization problems posed over infinite-di ...

The expeditious proliferation of Internet connectivity and the growing adoption of digital products have transformed various spheres of our everyday lives. This increased digitization of society has led to the emergence of new applications, which are deplo ...

In this study, traditional Monte Carlo simulation and density functional theory-based structural optimization methods were combined to screen computation-ready experimental metal-organic framework (MOF) database for the application of natural gas purificat ...

Energy demand for cooling of buildings is projected to drastically increase in the next decades. Urban areas in tropical Asia are expected to contribute a major share to this growing demand. These areas are characterized by a high urban density and a diver ...

Computing servers play a key role in the development and process of emerging compute-intensive applications in recent years. However, they need to operate efficiently from an energy perspective viewpoint, while maximizing the performance and lifetime of th ...

In recent years, climate change and the corresponding expected extreme weather conditions have been widely recognized as potential problems. The building industry is taking various actions to achieve sustainable development, implement energy conservation s ...

In order to develop sustainable and more powerful information technology (IT) infrastructures, the challenges posed by the "memory wall" are critical for the design of high-performance and high-efficiency many-core computing systems. In this context, recen ...

Database workloads have significantly evolved in the past twenty years. Traditional database systems that are mainly used to serve Online Transactional Processing (OLTP) workloads evolved into specialized database systems that are optimized for particular ...

This paper gives a new formulation to design adaptive structures through total energy optimization (TEO). This methodology enables the design of truss as well as tensegrity configurations that are equipped with linear actuators to counteract the effect of ...

Enumerating simple cycles has important applications in computational biology, network science, and financial crime analysis. In this work, we focus on parallelising the state-of-the-art simple cycle enumeration algorithms by Johnson and Read-Tarjan along ...

Joint Photographic Experts Group (JPEG) XS is a new International Standard from the JPEG Committee (formally known as ISO/International Electrotechnical Commission (IEC) JTC1/SC29/WG1). It defines an interoperable, visually lossless low-latency lightweight ...

As the data volume grows, reducing the query execution times remains an elusive goal. While approximate query processing (AQP) techniques present a principled method to trade off accuracy for faster queries in analytics, the sample creation is often consid ...

In the last decade, deep neural networks have achieved tremendous success in many fields of machine learning. However, they are shown vulnerable against adversarial attacks: well-designed, yet imperceptible, perturbations can make the state-of-the-art deep ...

With the 2010/31/EU directive, all new buildings shall be nearly zero-energy buildings (nZEB) from 2020 onward, with the aim of strongly reducing the energy consumption related to the building sector. To achieve this goal, it is not sufficient to focus on ...

Temperature-Aware Design and Management for 3D Multi-Core Architectures

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Local heating and cooling effectiveness - an evaluation method based on calculated local and overall thermal state

Efficacy of temporal and spatial abstraction for training accurate machine learning models: A case study in smart thermostats

Optimization Over Banach Spaces: A Unified View on Supervised Learning and Inverse Problems

Architecture Exploration and Optimization of Heterogeneous Many-Core Compute and Memory Architectures with Architectural Extensions

Multilevel screening of computation-ready, experimental metal-organic frameworks for natural gas purification

Planning Multi-Scale District Energy Systems with Hybrid Cooling Technologies and Decentralized Thermal Networks for Low Carbon Cities in the Tropics

Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers

Climate change and energy performance of European residential building stocks-A comprehensive impact assessment using climate big data from the coordinated regional climate downscaling experiment

Full System Exploration of On-Chip Wireless Communication on Many-Core Architectures

Micro-architectural Analysis of Database Workloads

Design of adaptive structures through energy minimization: extension to tensegrity

Scalable Fine-Grained Parallel Cycle Enumeration Algorithms

JPEG XS-A New Standard for Visually Lossless Low-Latency Lightweight Image Coding

Sampling-Based AQP in Modern Analytical Engines

Towards Verifiable, Generalizable and Efficient Robust Deep Neural Networks

Innovative Renewable Technology Integration for Nearly Zero-Energy Buildings within the Re-COGNITION Project