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Publications associées (36)

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To address the current gap in view-out research, this study aims to develop a workflow able to accurately capture dynamic views in an experimental setting. In testing the suitability of the proposed methodology, we conducted two comparative studies on the ...

2023

Efficient Concurrent Analytical Query Processing using Data and Workload-conscious Sharing

Panagiotis Sioulas

Analytical workloads are evolving as the number of users surges and applications that submit queries in batches become popular. However, traditional analytical databases that optimize-then-execute each query individually struggle to provide timely response ...

EPFL2023

Tone-mapping requirements in real-time videos for studying the dynamism of views-out in virtual reality

Marilyne Andersen, Caroline Karmann, Stephen William Wasilewski, Yunjoung Cho

Current view representation methods in VR predominantly rely on static photographs and tone-mapping operators without temporal variations, limiting the exploration of dynamic features in a view. This study presents an alternative workflow to capture dynami ...

2023

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Modern application development addresses increasingly specialized problems using domain-specific utilities, such as Optical Code Recognition and standalone statistical tools. The diversity of tooling, combined with the ever-growing volume of data, requires ...

2022

Shading device

Jean-Louis Scartezzini, Jérôme Henri Kämpf, Yujie Wu

A shading device (D.1, D.2) is configured to be integrated into a façade of a building, wherein the shading device (D.1, D.2) comprises an imaging system (3) configured to create images of an outside view of the building. ...

2020

Forming groups of students best suited to work together on a sustainability issue

Philippe Thalmann, Adam Robert Swietek

We show how groups of three students can be formed to with a view to maximizing the interest in a shared topic and the diversity of views and beliefs regarding sustainability and measures that can or should be taken. ...

2020

Compilation Techniques for Incremental Collection Processing

Daniel Lupei

Many map-reduce frameworks as well as NoSQL systems rely on collection programming as their interface of choice due to its rich semantics along with an easily parallelizable set of primitives. Unfortunately, the potential of collection programming is not ...

EPFL2017

Incremental View Maintenance for Collection Programming

Christoph Koch, Daniel Lupei, Val Tannen

In the context of incremental view maintenance (IVM), delta query derivation is an essential technique for speeding up the processing of large, dynamic datasets. The goal is to generate delta queries that, given a small change in the input, can update the ...

ACM2016

Scaling Up Concurrent Analytical Workloads on Multi-Core Servers

Iraklis Psaroudakis

Today, an ever-increasing number of researchers, businesses, and data scientists collect and analyze massive amounts of data in database systems. The database system needs to process the resulting highly concurrent analytical workloads by exploiting modern ...

EPFL2016

Fast Queries Over Heterogeneous Data Through Engine Customization

Anastasia Ailamaki, Manolis Karpathiotakis, Ioannis Alagiannis

Industry and academia are continuously becoming more data-driven and data-intensive, relying on the analysis of a wide variety of heterogeneous datasets to gain insights. The different data models and formats pose a significant challenge on performing anal ...

Assoc Computing Machinery2016