Conference: europar2024workshops (Euro-Par 2024 Workshops, Minisymposia, PhD, Posters/Demos and WHPC (30th International European Conference on Parallel and Distributed Computing))

Conference: europar2024workshops (Euro-Par 2024 Workshops, Minisymposia, PhD, Posters/Demos and WHPC (30th International European Conference on Parallel and Distributed Computing))

This page shows all presentations from this conference published in EasyChair Smart Slide.

Fast Parallel Approach for Neighborhood-Based Link Prediction by Disregarding Large Hubs

Fast Parallel Approach for Neighborhood-Based Link Prediction by Disregarding Large Hubs

Subhajit Sahu and Kishore Kothapalli

GVE-LPA: Fast Label Propagation Algorithm (LPA) for Community Detection in the Shared Memory Setting

GVE-LPA: Fast Label Propagation Algorithm (LPA) for Community Detection in the Shared Memory Setting

Subhajit Sahu, Kishore Kothapalli and Dip Sankar Banerjee

GVEL: Fast Graph Loading in Edgelist and Compressed Sparse Row (CSR) Formats

GVEL: Fast Graph Loading in Edgelist and Compressed Sparse Row (CSR) Formats

Subhajit Sahu and Kishore Kothapalli

Towards Real Time Compton Imaging in Demanding Conditions

Towards Real Time Compton Imaging in Demanding Conditions

Bernardo Bernardino Gameiro, Victor Babiano-Suarez, Javier Balibrea-Correa, Gabriel de la Fuente Rosales, César Domingo Pardo, Ion Ladarescu, Jorge Lerendegui-Marco and Pablo Torres-Sánchez

Extending Polygeist to Generate OpenMP SIMD and GPU MLIR Code

Extending Polygeist to Generate OpenMP SIMD and GPU MLIR Code

Arun Thangamani, Vincent Loechner and Stéphane Genaud

Quantum Compilation Process: a Survey

Quantum Compilation Process: a Survey

Francisco Javier Cardama Santiago, Jorge Vázquez Pérez, Tomás Fernández Pena, Juan C. Pichel Campos and Andrés Gómez Tato

LazyQML: a Python Library to Benchmark Quantum Machine Learning Models

LazyQML: a Python Library to Benchmark Quantum Machine Learning Models

Diego García-Vega, Fernando Plou Llorente, Alejandro Leal Castaño, Elias F. Combaro and José Ranilla

Variational Quantum Eigensolver for Classification in Distributed Data Sets

Variational Quantum Eigensolver for Classification in Distributed Data Sets

Joanna Wiśniewska and Marek Sawerwain

Adiabatic Training for Variational Quantum Algorithms

Adiabatic Training for Variational Quantum Algorithms

Ernesto Acosta Martín, Carlos Cano Gutiérrez, Guillermo Botella and Roberto Campos

Factoring Integers via Schnorr’s Algorithm Assisted with VQE

Factoring Integers via Schnorr’s Algorithm Assisted with VQE

Luis Sánchez Cano, Ginés Carrascal de Las Heras, Guillermo Botella Juan and Alberto Barrio García

Offloading PyTorch Collective Operations to Independent Programmable Logic at the Edge

Offloading PyTorch Collective Operations to Independent Programmable Logic at the Edge

Chanaka Hettige, Ankush Pathak, Luke D'Alessandro and Martin Swany

A Layered Approach for Dynamic Resource Management in HPC

A Layered Approach for Dynamic Resource Management in HPC

Hans-Joachim Bungartz, Pierre-François Dutot, Jan Fecht, Keerthi Gaddameedi, Dominik Huber, Sergio Iserte, Michael Minion, Tobias Neckel, Martin Schreiber, Martin Schulz, Valentina Schüller, Antonio Peña and Olivier Richard

Presentations in this collection: 12