NDLI: Asynchronous Task-Based Parallelization of Algebraic Multigrid

Please wait, while we are loading the content...

Towards the Virtual Rheometer: High Performance Computing for the Red Blood Cell Microstructure

A Computational Framework to Assess the Influence of Changes in Vascular Geometry on Blood Flow

Increasing the Efficiency of Sparse Matrix-Matrix Multiplication with a 2.5D Algorithm and One-Sided MPI

Evaluation of a Directive-Based GPU Programming Approach for High-Order Unstructured Mesh Computational Fluid Dynamics

Asynchronous Task-Based Parallelization of Algebraic Multigrid

Scheduling Finite Difference Approximations for DAG-Modeled Large Scale Applications

Pareto Optimal Swimmers

ABCpy: A User-Friendly, Extensible, and Parallel Library for Approximate Bayesian Computation

Parallelized Dimensional Decomposition for Large-Scale Dynamic Stochastic Economic Models

A Histogram-Free Multicanonical Monte Carlo Algorithm for the Basis Expansion of Density of States

Fast and Scalable Low-Order Implicit Unstructured Finite-Element Solver for Earth's Crust Deformation Problem

Load Balancing and Patch-Based Parallel Adaptive Mesh Refinement for Tsunami Simulation on Heterogeneous Platforms Using Xeon Phi Coprocessors

A Scalable Object Store for Meteorological and Climate Data

Asynchronous Task-Based Parallelization of Algebraic Multigrid

Content Provider	ACM Digital Library
Author	AlOnazi, Amani Markomanolis, George S. Keyes, David
Abstract	As processor clock rates become more dynamic and workloads become more adaptive, the vulnerability to global synchronization that already complicates programming for performance in today's petascale environment will be exacerbated. Algebraic multigrid (AMG), the solver of choice in many large-scale PDE-based simulations, scales well in the weak sense, with fixed problem size per node, on tightly coupled systems when loads are well balanced and core performance is reliable. However, its strong scaling to many cores within a node is challenging. Reducing synchronization and increasing concurrency are vital adaptations of AMG to hybrid architectures. Recent communication-reducing improvements to classical additive AMG by Vassilevski and Yang improve concurrency and increase communication-computation overlap, while retaining convergence properties close to those of standard multiplicative AMG, but remain bulk synchronous. We extend the Vassilevski and Yang additive AMG to asynchronous task-based parallelism using a hybrid MPI+OmpSs (from the Barcelona Supercomputer Center) within a node, along with MPI for internode communications. We implement a tiling approach to decompose the grid hierarchy into parallel units within task containers. We compare against the MPI-only BoomerAMG and the Auxiliary-space Maxwell Solver (AMS) in the hypre library for the 3D Laplacian operator and the electromagnetic diffusion, respectively. In time to solution for a full solve an MPI-OmpSs hybrid improves over an all-MPI approach in strong scaling at full core count (32 threads per single Haswell node of the Cray XC40) and maintains this per node advantage as both weak scale to thousands of cores, with MPI between nodes.
Starting Page	1
Ending Page	11
Page Count	11
File Format	PDF
ISBN	9781450350624
DOI	10.1145/3093172.3093230
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-06-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Multigrid Additive multigrid Task-based parallelism Hybrid mpi ompss implementation
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in