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cs.DC2021

An Execution Fingerprint Dictionary for HPC Application Recognition

Thomas Jakobsche, Nicolas Lachiche, Aurélien Cavelan +1

Applications running on HPC systems waste time and energy if they: (a) use resources inefficiently, (b) deviate from allocation purpose (e.g. cryptocurrency mining), or (c) encount…

cs.DC2019

Two-level Dynamic Load Balancing for High Performance Scientific Applications

Ali Mohammed, Aurelien Cavelan, Florina M. Ciorba +2

Scientific applications are often complex, irregular, and computationally-intensive. To accommodate the ever-increasing computational demands of scientific applications, high-perfo…

cs.DC2019

Finding Neighbors in a Forest: A b-tree for Smoothed Particle Hydrodynamics Simulations

Aurélien Cavelan, Rubén M. Cabezón, Jonas H. M. Korndorfer +1

Finding the exact close neighbors of each fluid element in mesh-free computational hydrodynamical methods, such as the Smoothed Particle Hydrodynamics (SPH), often becomes a main b…

cs.DC2019

Algorithm-Based Fault Tolerance for Parallel Stencil Computations

Aurélien Cavelan, Florina M. Ciorba

The increase in HPC systems size and complexity, together with increasing on-chip transistor density, power limitations, and number of components, render modern HPC systems subject…

cs.DC2019

Detection of Silent Data Corruptions in Smoothed Particle Hydrodynamics Simulations

Aurélien Cavelan, Rubén M. Cabezón, Florina M. Ciorba

Silent data corruptions (SDCs) hinder the correctness of long-running scientific applications on large scale computing systems. Selective particle replication (SPR) is proposed her…