emerging technologies in productivity for hpc · analysis & viz 5 code development !...

Sandia National Laboratories is a multi-mission laboratory managed and operated !by National Technology and Engineering Solutions of Sandia, LLC, a wholly owned !subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s !National Nuclear Security Administration under contract DE-NA0003525. SAND2018-2551 PE!

Emerging Technologies in Productivity for HPC

Rob Hoekstra

PSAAP III Pre-Proposal Conference,March 14, 2018

1

ComplexityUP,ProductivityDOWN

!  HWismorecomplex

!  Softwarestackismorecomplex

!  ProgrammingEnvironment/Modelismorecomplex

!  Execution/OperationsEnvironmentismorecomplex

!  AllthesefactorscannegativelyimpactPRODUCTIVITY

2

ProductivityhasbeendecliningrapidlyintheHPCenvironment

!  Dramaticincreaseincomplexityofalgorithmsandapplicationscoupledwithadramaticincreaseincomplexity,diversityandscaleofHWandexecutionenvironments

!  ANDCS/CSEresearchonproductivitypayslittleattentiontoourHPC-specificproblems(therearecounter-examplessuchasIDEAS)

3

EvenworseforourMissionCodes

!  Complexity,sizeanddependenciesofourcodesiswellaboveaverageevenintheHPCcommunity

!  Verification/validationrequirementscreateamuchhigherbarforincorporationofnewcapabilitywhetheritbephysics,algorithmsorperformanceoptimization

!  Andtomakeitworse,leadership-classplatformsenvironments(SWstack,etc.)areoftenbemoreimmature/fragilethanaverage

4

Bottlenecks

!  Codedevelopment

!  Codecorrectness/testing

!  Platformspecifictuning/optimization

!  Problemsetup

!  JobExecution&Steering

!  Analysis&Viz

5

CodeDevelopment

!  MPI/Fortrancode

!  C++,hierarchicalparallelconstructs,layereddependencies

6

!  Teko: BlockSegregatedPreconditioning

!  Anasazi: ParallelEigensolvers!  Belos: ParallelBlockIterativeSolvers(FT/CA)

!  MueLU: Multi-LevelPreconditioning!  Ifpack2: ILUSubdomainPreconditioning

!  ShyLU: HybridMPI/ThreadedLinearSolver!  Tpetra: DistributedLinearAlgebra!  Zoltan2 LoadBalancing&Partitioning

!  Kokkos: HeterogeneousNodeParallelKernels

Applications&AdvancedAnalysisComponents

Back-ends:OpenMP,pthreads,Cuda,Qthreads,...

Anasazi:Eigensolvers Belos:LinearSovlers

Muelu:MultiGridPreconditioners

ShyLU/Basker:DirectSolversIfpack2:SubdomainPreconditioners

Tpetra:ScalableLinearAlgebra

KokkosSparseLinearAlgebra

KokkosContainersZoltan2:LoadBalance/

Partitioning KokkosCore/Kernels

Testing/Verification

!  “Eyeball”Norm

!  Largeverificationtestsuites,non-reproducibility,etc.

7

Performancetuning/optimization

!  PRINTF(stillfallbacktothismanytimes:)

!  Performanceanalysisand“divination”

8

ProblemSetup

!  CardDeck

!  Complexworkflowwithgeometry/meshing,etc.

9

Cubit Hex Meshing Capability

10

housinggeometryhas13

‘volumes’

decomposedintomeshablevolumes

Cubit Journal file – 6200 lines long!Manually constructed!

800+ manually specified webcuts defined!1500+ geometry cleanup commands!

500+ meshing commands!13 volumes to 500 webcut volumes!

1000+ hours of tedium!

Turn around time: !9 months!

Jobexecution/steering

!  C:>Runapp.exe

!  Complexworkflowsofmulti-physics,multiplecodes,steering,datacollection

11

Containerized Workflow

Setup Simulation Application

Analytics

Visualization

Machine Learning

Workflow driver

Ensemble or Iterative Workflow

Abstracted Storage Interface

Abstracted System Monitoring

HPC system

Common Model Inputs

Analysis/Viz

!  Quantity=X

!  Complexdataflows/vizpackages/UQ/validation

12

Areasofopportunity!  WhatarefutureHPC“HighProductivity”ProgrammingModels?

!  WhatarefutureHPC“HighProductivity”DevelopmentEnvironments?

!  WhatarefutureHPC“HighProductivity”Runtime/ExecutionEnvironments?

AND

!  Isthereamorecoherentunificationofdesigntime,compiletimeandruntimeenvironments/tools?

ProgrammingModels

!  WhatarefutureHPC“HighProductivity”ProgrammingModels?

!  PortabilityAbstractions!  AsyncMulti-Tasking

!  DSLs!  Component-baseddevelopment

14

RAJA!Legion A Data-Centric Parallel Programming System

DARMA!

Charm++ !Uintah!

DevelopmentEnvironment!  WhatarefutureHPC“HighProductivity”DevelopmentEnvironments?

!  IDEs!  Auto-tuning!  Higher-levellanguages/scripting!  Opencompilerenvironments

!  Automatedtesting

!  CSESWEngineering“BestPractices”

15

Software Productivity for Extreme-scale

Science!Methodologies for Software!Productivity!

Use Cases: Terrestrial Modeling!

Extreme-scale Scientific Software Development Kit

(xSDK)!

IDEAS: Interoperable Design of Extreme-scale Application Software •  Project began in Sept 2014 as ASCR/BER partnership to improve

application software productivity, quality, and sustainability

Resources: https://ideas-productivity.org/resources, featuring

•  WhatIs and HowTo docs: concise characterizations & best practices

•  What is Software Configuration? " How to Configure Software

•  What is CSE Software Testing? " What is Version Control?

•  What is Good Documentation? " How to Write Good Documentation

•  How to Add and Improve Testing in a CSE Software Project

•  How to do Version Control with Git in your CSE Project …. More under development

www.ideas-productivity.org !

Software Productivity for Extreme-scale

Science!Methodologies

for Software!Productivity!

Use Cases: Terrestrial Modeling!

Extreme-scale Scientific Software Development Kit

(xSDK)!

PIs: Michael Heroux (SNL) and Lois Curfman McInnes (ANL)!

Co-PIs: David Bernholdt (ORNL), Todd Gamblin (LLNL), Osni Marques (LBNL), David Moulton (LANL), Boyana Norris (Univ of Oregon)!

Runtime/ExecutionEnvironment

!  WhatarefutureHPC“HighProductivity”Runtime/ExecutionEnvironments?

!  Workflows

!  Tasking!  MachineLearning!  ProblemSetup

!  Containers

17

Containerized Workflow

Setup Simulation Application

Analytics

Visualization

Machine Learning

Workflow driver

Ensemble or Iterative Workflow

Abstracted Storage Interface

Abstracted System Monitoring

HPC system

Common Model Inputs

ProductivityimprovementcanbeacommonthreadinPSAAPcenteractivities

!  “Focus”onproductivityenhancingtechnologiesthatarehighlysynergisticwithothergoals!  Workflows!  ProgrammingModels/Environments

!  MachineLearning

!  Component-basedApproaches

!  TellushowyourcenterwillleverageresearchintheseareaswillhaveabigpositiveimpactonPRODUCTIVITY.

18

Questions?

19Michael Heroux 2017 DOE CSGF Meeting!

20

Visible Progress (Writing code, computing results)

100 %

0 % Planning

Recoding and Porting to new Platforms

Percent Effort

Time Midlife Effort Profile

Endlife Effort Profile

Adapted from Software Project Survival Guide, Steve McConnell

Code-and-Fix Development Approach

Early Effort Profile

21

Visible Progress (Writing code, computing results)

100 %

0 %

Planning

Recoding and Porting to new Platforms

Percent Effort

Time

Simple Planned Development Approach

Midlife Effort Profile

Ongoing Effort Profile

Early Effort Profile