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Association for Computing Machinery

Related publications (16)

Tradeoffs in Low-Power Accelerators Design for Large-Scale Interferometers

David Atienza Alonso, Miguel Peon Quiros, Denisa-Andreea Constantinescu, Benoît Walter Denkinger

Large-scale scientific infrastructures like SKAO—the world’s largest radio observatory for the coming decades—are generating massive-scale data streams of multi-Tb/s to be processed using complex interferometry algorithms. Concretely, SKAO is expected to g ...

2023

Advancing first principle-based molecular dynamics of biological systems with machine learning

François Louis Mouvet

Molecular dynamics (MD) simulations have emerged as a transformative approach to analyse molecular systems at the atomic level, offering valuable insights into complex biological processes. Many biological phenomena can only accurately be described by inco ...

EPFL2023

The Seattle report on database research

Anastasia Ailamaki, Dan Suciu

Every five years, a group of the leading database researchers meet to reflect on their community's impact on the computing industry as well as examine current research challenges. ...

2022

Introducing a Paper-Based Programming Language for Computing Education in Classrooms

Francesco Mondada, Christian Giang, Andrea Mussati, Aditya Mehrotra, Noé Duruz

Past research has shown that the use of tangible platforms for computingeducation can enhance students’ interest, engagement and collaboration within workgroups. However, to this day, the adoption of such interfaces in classrooms has remained relatively sc ...

ACM2020

Broadening artificial intelligence education in K-12: Where to Start?

Pierre Dillenbourg

Moving from steam and waterpower, electricity and assembly lines, and computerization, to the adoption of cyber-physical systems, the Internet of Things and the Internet of Systems executed as intelligent machines, the world now dives into a new era called ...

2020

New Algorithmic Paradigms for Discrete Problems using Dynamical Systems and Polynomials

Damian Mateusz Straszak

Optimization is a fundamental tool in modern science. Numerous important tasks in biology, economy, physics and computer science can be cast as optimization problems. Consider the example of machine learning: recent advances have shown that even the most s ...

EPFL2018

Never Say Never Probabilistic & Temporal Failure Detectors (Extended)

Rachid Guerraoui, David Kozhaya, Yvonne Anne Pignolet-Oswald

The failure detector approach for solving distributed computing problems has been celebrated for its modularity. This approach allows the construction of algorithms using abstract failure detection mechanisms, defined by axiomatic properties, as building b ...

IPDPS2016

Never Say Never Probabilistic & Temporal Failure Detectors

Rachid Guerraoui, David Kozhaya

Ieee2016

Surveying the Evolution of Computing in Architecture, Engineering, and Construction Education since 2012

Ian Smith

This paper presents the results of an online survey that was conducted in 2014 to assess the evolution of computing in architecture, engineering, and construction (AEC) education. A primary goal includes contributing to the understanding of the evolution o ...

American Society of Civil Engineers2016

Surveying the Evolution of Computing in Architecture, Engineering, and Construction Education

Ian Smith

This paper includes the results of an online survey that was conducted by the American Society of Civil Engineers (ASCE) task committee on computing education to assess the evolution of computing in architecture, engineering, and construction (AEC) educati ...

American Society of Civil Engineers2015

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