Load balancing aware scheduling algorithms for fog networks

A Singh, N Auluck - Software: Practice and Experience, 2020 - Wiley Online Library
Fog networks have attracted the attention of researchers recently. The idea is that a part of
the computation of a job/application can be performed by fog devices that are located at the …

Understanding performance interference in next-generation HPC systems

OH Mondragon, PG Bridges, S Levy… - SC'16: Proceedings …, 2016 - ieeexplore.ieee.org
Next-generation systems face a wide range of new potential sources of application
interference, including resilience actions, system software adaptation, and in situ analytics …

Adapt: An event-based adaptive collective communication framework

X Luo, W Wu, G Bosilca, T Patinyasakdikul… - Proceedings of the 27th …, 2018 - dl.acm.org
The increase in scale and heterogeneity of high-performance computing (HPC) systems
predispose the performance of Message Passing Interface (MPI) collective communications …

An evaluation of the state of time synchronization on leadership class supercomputers

T Jones, G Ostrouchov, GA Koenig… - Concurrency and …, 2018 - Wiley Online Library
We present a detailed examination of time agreement characteristics for nodes within
extreme‐scale parallel computers. Using a software tool we introduce in this paper, we …

How I learned to stop worrying and love in situ analytics: leveraging latent synchronization in MPI collective algorithms

S Levy, KB Ferreira, P Widener, PG Bridges… - Proceedings of the 23rd …, 2016 - dl.acm.org
Scientific workloads running on current extreme-scale systems routinely generate
tremendous volumes of data for postprocessing. This data movement has become a serious …

Optimization of MPI Collective Communication Operations

X Luo - 2020 - trace.tennessee.edu
High-performance computing (HPC) systems keep growing in scale and heterogeneity to
satisfy the increasing need for computation, and this brings new challenges to the design of …

Evaluating the Charm++ Runtimes Ability to Cope with Performance Heterogeneity.

M Gammel, K Teranishi, S Knight, GD Sjaardema… - 2017 - osti.gov
As high-performance computing systems continue to evolve on the way to exascale, the
performance heterogeneity of components in the system is increasing. This heterogeneity …

[PDF][PDF] Middleware for large scale in situ analytics workflows

J Dayal - 2016 - core.ac.uk
On current generation petascale supercomputers, large-scale science applications like GTC
[2] and S3D [34] are already stressing the limits of the capabilities these machines provide …

[PDF][PDF] Understanding Performance Interference in Next-Generation HPC Systems.

SN Levy, KB Ferreira, P Widener, PG Bridges… - 2016 - osti.gov
Next-generation systems face a wide range of new potential sources of application
interference, including resilience actions, system software adaptation, and in situ analytics …