[Retracted] Computation Offloading in Mobile Cloud Computing and Mobile Edge Computing: Survey, Taxonomy, and Open Issues

M Maray, J Shuja - Mobile Information Systems, 2022 - Wiley Online Library
Cloud and mobile edge computing (MEC) provides a wide range of computing services for
mobile applications. In particular, mobile edge computing enables a computing and storage …

Investigating the usage of MPI at argument-granularity in HPC codes

A Hück, T Jammer, J Jenke, C Bischof - … of the 30th European MPI Users' …, 2023 - dl.acm.org
This study focuses on gaining insights into the usage of the Message-Passing Interface
(MPI) in a large set of High-Performance Computing (HPC) codes by analyzing MPI function …

An international survey on MPI users

A Hori, E Jeannot, G Bosilca, T Ogura, B Gerofi, J Yin… - Parallel Computing, 2021 - Elsevier
Abstract The Message Passing Interface (MPI) plays a crucial part in the parallel computing
ecosystem, a driving force behind many of the high-performance computing (HPC) …

Autocheck: Automatically identifying variables for checkpointing by data dependency analysis

X Fu, W Zhang, S Meng, X Huang, W Xu… - … Conference for High …, 2024 - ieeexplore.ieee.org
Checkpoint/Restart (C/R) has been widely deployed in numerous HPC systems, Clouds,
and industrial data centers, which are typically operated by system engineers. Nevertheless …

Benchmarking variables for checkpointing in hpc applications

X Fu, X Huang, W Xu, W Zhang, S Meng… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Checkpoint/Restart (C/R) is a widely used fault tolerance mechanism in converged systems
of cloud, edge, and HPC. However, users often rely on their experience to determine which …

OMPICollTune: Autotuning MPI collectives by incremental online learning

S Hunold, S Steiner - 2022 IEEE/ACM International Workshop …, 2022 - ieeexplore.ieee.org
Collective communication operations, such as Broadcast or Reduce, are fundamental
cornerstones in many high-performance applications. Most collective operations can be …

Uniform Algorithms for Reduce-scatter and (most) other Collectives for MPI

JL Träff, S Hunold, I Vardas… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
We explore the use of a regular, circulant graph communication pattern for the
implementation of the reduction-to-all (MPI_Allreduce), by specialization the reduction-to …

Towards distributed semi-speculative adaptive anisotropic parallel mesh generation

KM Garner, C Tsolakis, P Thomadakis… - … FORUM AND ASCEND …, 2024 - arc.aiaa.org
High-performance computing (HPC) mesh generation codes are often optimized while
intertwining functionality with performance aspects of code, making these methods highly …

Generalized collective algorithms for the exascale era

M Wilkins, H Wang, P Liu, B Pham… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Exascale supercomputers have renewed the exigence of improving distributed
communication, specifically MPI collectives. Previous works accelerated collectives for …

Synchronizing MPI processes in space and time

J Schuchart, S Hunold, G Bosilca - … of the 30th European MPI Users' …, 2023 - dl.acm.org
Performance benchmarks are an integral part of the development and evaluation of parallel
algorithms, both in distributed applications as well as MPI implementations themselves. The …