Dynamic Fine-Grained Scheduling for Energy-Efficient Main-Memory Queries

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

A frequency scaling governor is critical for the performance management of cloud servers, as it enhances energy efficiency and helps to control operational temperatures, thereby ensuring system reliability. However, our in-depth analysis of the application ...

Energy piles represent an innovative technology that can help provide sustainable geothermal heating or cooling energy for thermal conditioning purposes. In hot-dominated climates, the interest is to inject heat in the ground and extract energy for space-c ...

Driven by the demand for real-time processing and the need to minimize latency in AI algorithms, edge computing has experienced remarkable progress. Decision-making AI applications stand out for their heavy reliance on data-centric operations, predominantl ...

In this work, a tool to design district heating networks (DHN) is presented and applied to the city of Lausanne as a case study. The evaluation of the buildings’ heat/cooling demand is performed using a Geographic Information System (GIS) database, built f ...

Computer systems rely heavily on abstraction to manage the exponential growth of complexity across hardware and software. Due to practical considerations of compatibility between components of these complex systems across generations, developers have favou ...

The transition towards clean renewable energy sources, where wind and solar are prone to variation, requires adequate energy storage. Power-to-methane (PtM) systems can be part of the solution. Specifically, solid-oxide-electrolyser (SOE) based PtM systems ...

Type systems are a device for verifying properties of programs without running them. Many programming languages used in the industry have always had a type system, while others were initially created without a type system and later adopted one, when the ad ...

A range of behavioral and contextual factors, including eating and drinking behavior, mood, social context, and other daily activities, can significantly impact an individual's quality of life and overall well-being. Therefore, inferring everyday life aspe ...

Since the 1760s, modern civilization has significantly enhanced human efficiency and living standards, whereas it heavily depends on fossil fuels for primary energy. The overreliance raises concerns about energy and environmental crises. It prompts the nee ...

The desire and ability to place AI-enabled applications on the edge has grown significantly in recent years. However, the compute-, area-, and power-constrained nature of edge devices are stressed by the needs of the AI-enabled applications, due to a gener ...

The demise of Moore's Law and Dennard scaling has resulted in diminishing performance gains for general-purpose processors, and so has prompted a surge in academic and commercial interest for hardware accelerators. Specialized hardware has already redefine ...

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 ...

Accessing input data is a critical operation in data analytics: i) slow data access significantly degrades performance, and ii) storing everything in the fastest medium, i.e., memory, incurs high operational and hardware costs. Further, while GPUs offer in ...

Machine learning and data processing algorithms have been thriving in finding ways of processing and classifying information by exploiting the hidden trends of large datasets. Although these emerging computational methods have become successful in today's ...

Residential ventilative cooling via natural ventilation is influenced by outdoor air pollution. However, relative to climate, outdoor air pollution is not comprehensively considered in determining the ventilative cooling potential of buildings. To assess t ...

The AIDRES database aims to support the long-term objective of a fully integrated industrial strategy in the EU 27, providing a service to the European Commission and a catalogue for industries to understand the effectiveness, efficiency and cost of potent ...

As humans spend most of their time indoors, indoor air quality (IAQ) significantly impacts their health. In parallel, building ventilation consumes significant energy, contributing to climate change. However, the relationships between the building ventilat ...

Energy efficiency is crucial for the sustainable operation of all industrial and urban sectors. However, practicing engineers have seldom access to open-source tools that can readily evaluate and compare scenarios in terms of energy consumption, cost, and ...

A method for optimizing memory access for database operations is provided. The method may include performing a first database operation by at least executing a first instruction stream associated with the first database operation. The first database opera ...

ML-based edge devices may face memory and computational errors that affect applications' reliability and performance. These errors can be the result of particular working conditions (e.g., radiation areas in physical experiments or avionics) or could be th ...

Dynamic Fine-Grained Scheduling for Energy-Efficient Main-Memory Queries

Chattez avec Graph Search

Is the powersave governor really saving power?

Performance of energy piles foundation in hot-dominated climate: A case study in Dubai

EdgeAI-Aware Design of In-Memory Computing Architectures

Decomposition method to evaluate district heating/cooling network potential at urban scale

Secure Interface Design Leveraging Hardware/Software Support

Design and assessment of an evaporating water-cooled methanation reactor for a SOE-based power-to-methane system

Formal Foundations of Capture Tracking

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Surface and Electrolyte Engineering on Semiconductor Electrodes for solar-assisted CO2 Reduction

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Building Chips Faster: Hardware-Compiler Co-Design for Accelerated RTL Simulation

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

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

2D Nanosystems: Applications of 2D Semiconductors for In-Memory Computing

Influence of outdoor air pollution on European residential ventilative cooling potential

AIDRES: A database for the decarbonisation of the heavy industry in Europe

Building ventilation and outdoor air pollution: Implications for health, comfort and energy

ROSMOSE: A Web-based Optimization Tool to Aid Decision-making for the Design and Operation of Industrial and Urban Energy Systems

Determining an optimum quantity of interleaved instruction streams of defined coroutines

Hardware-Software co-design Methodologies for Edge AI Optimization