MPI Windows on Storage for HPC Applications

10/09/2018
by   Sergio Rivas-Gomez, et al.
0

Upcoming HPC clusters will feature hybrid memories and storage devices per compute node. In this work, we propose to use the MPI one-sided communication model and MPI windows as unique interface for programming memory and storage. We describe the design and implementation of MPI storage windows, and present its benefits for out-of-core execution, parallel I/O and fault-tolerance. In addition, we explore the integration of heterogeneous window allocations, where memory and storage share a unified virtual address space. When performing large, irregular memory operations, we verify that MPI windows on local storage incurs a 55 system, asymmetric performance is observed with over 90 operations. Nonetheless, experimental results of a Distributed Hash Table, the HACC I/O kernel mini-application, and a novel MapReduce implementation based on the use of MPI one-sided communication, indicate that the overall penalty of MPI windows on storage can be negligible in most cases in real-world applications.

READ FULL TEXT

Authors

page 1

page 2

page 3

page 4

11/15/2021

Quo Vadis MPI RMA? Towards a More Efficient Use of MPI One-Sided Communication

The MPI standard has long included one-sided communication abstractions ...
10/30/2018

BCL: A Cross-Platform Distributed Container Library

One-sided communication is a useful paradigm for irregular parallel appl...
10/09/2018

Decoupled Strategy for Imbalanced Workloads in MapReduce Frameworks

In this work, we consider the integration of MPI one-sided communication...
05/10/2017

Performance Evaluation and Modeling of HPC I/O on Non-Volatile Memory

HPC applications pose high demands on I/O performance and storage capabi...
10/13/2020

Data Engineering for HPC with Python

Data engineering is becoming an increasingly important part of scientifi...
08/22/2019

Network-Accelerated Non-Contiguous Memory Transfers

Applications often communicate data that is non-contiguous in the send- ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.