Publications associées à Data-centric workloads with MPI_Sort

Publications associées (6)

The Tight Cost of Byzantine Agreement

Distributed computer systems have become a fundamental part of our lives. These systems power so many critical functions of our society that it is hard to imagine the consequences if they were to collapse. However, many of these systems are just a single p ...

EPFL2025

HardCilk: Cilk-like Task Parallelism for FPGAs

Paolo Ienne, Canberk Sönmez, Mohamed Mahfouz Ahmed Kotb Shahawy, Cemalettin Cem Belentepe

High-level synthesis (HLS) helps to develop hard-ware accelerators for field-programmable gate arrays (FPGAs) using C/C++ descriptions. HLS is tailored to exploit instruction-level parallelism and, where available, data-level parallelism in applications. Y ...

Institute of Electrical and Electronics Engineers Inc.2024

Euclid preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong-lensing events

Frédéric Courbin, Georges Meylan, Georgios Vernardos, Benjamin Yvan Alexandre Clement

Forthcoming imaging surveys will increase the number of known galaxy-scale strong lenses by several orders of magnitude. For this to happen, images of billions of galaxies will have to be inspected to identify potential candidates. In this context, deep-le ...

Edp Sciences S A2024

Source identification via contact tracing in the presence of asymptomatic patients

Miguel-Angel Sanchez Ndoye, Patrick Thiran, Gergely Odor

Inferring the source of a diffusion in a large network of agents is a difficult but feasible task, if a few agents act as sensors revealing the time at which they got hit by the diffusion. One of the main limitations of current source identification algori ...

SPRINGERNATURE2023

Methodologies for Synthesizing and Analyzing Dynamic Dataflow Programs in Heterogeneous Systems for Edge Computing

Marco Mattavelli, Simone Casale Brunet, Aurélien François Gilbert Bloch

The possibility of using the increasing computing power available in cloud infrastructures requires the development of new approaches for application software development and optimization. Emerging edge computing paradigms offer the possibility of reducing ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Joint Energy Management for Distributed Energy Harvesting Systems

Colin Neil Jones, Yuning Jiang, Yingzhao Lian

Employing energy harvesting to power the Internet of Things supports their long-term, self-sustainable, and maintenance-free operation. These energy harvesting systems have an energy management subsystem to orchestrate the flow of energy and optimize their ...

Association for Computing Machinery2021