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[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 …
mobile applications. In particular, mobile edge computing enables a computing and storage …
Investigating the usage of MPI at argument-granularity in HPC codes
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 …
(MPI) in a large set of High-Performance Computing (HPC) codes by analyzing MPI function …
An international survey on MPI users
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) …
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 …
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 …
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 …
cornerstones in many high-performance applications. Most collective operations can be …
Uniform Algorithms for Reduce-scatter and (most) other Collectives for MPI
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 …
implementation of the reduction-to-all (MPI_Allreduce), by specialization the reduction-to …
Towards distributed semi-speculative adaptive anisotropic parallel mesh generation
High-performance computing (HPC) mesh generation codes are often optimized while
intertwining functionality with performance aspects of code, making these methods highly …
intertwining functionality with performance aspects of code, making these methods highly …
Generalized collective algorithms for the exascale era
Exascale supercomputers have renewed the exigence of improving distributed
communication, specifically MPI collectives. Previous works accelerated collectives for …
communication, specifically MPI collectives. Previous works accelerated collectives for …
Synchronizing MPI processes in space and time
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 …
algorithms, both in distributed applications as well as MPI implementations themselves. The …