LLVM-based Software for Guided Parallelization with OpenMP Manuel - - PowerPoint PPT Presentation

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llvm based software for guided parallelization with openmp
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LLVM-based Software for Guided Parallelization with OpenMP Manuel - - PowerPoint PPT Presentation

Dec 11, 2023 397 likes •582 views

LLVM-based Software for Guided Parallelization with OpenMP Manuel Arenaz manuel.arenaz@apppentra.com OUTLINE Why Parallware? ORNL & Appentra Parallware Trainer (DEMO) Conclusions WHY DEVELOPING PARALLWARE? Software

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LLVM-based Software for Guided Parallelization with OpenMP

Manuel Arenaz manuel.arenaz@apppentra.com

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OUTLINE

  • Why Parallware?
  • ORNL & Appentra
  • Parallware Trainer (DEMO)
  • Conclusions
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Software modernization through parallelization with MPI+X

High-level programming: X = OpenMP or OpenACC

WHY DEVELOPING PARALLWARE?

PARALLEL PROGRAMMING IS HARD! Currently a manual process

Can we make it easier?

HPC WORKFLOW

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OUTLINE

  • Why Parallware?
  • ORNL & Appentra
  • Parallware Trainer (DEMO)
  • Conclusions
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COLLABORATION ON TOOLS INNOVATION

ORNL & APPENTRA

ORNL Industrial Partnership Program, project CSC193: “Porting Parallware Tools to Large HPC Installations including Titan” (2015-2016)

Fernanda Foertter Oscar Hernandez

Jacobo Lobeiras, Manuel Arenaz, Oscar Hernández: Experiences in extending parallware to support OpenACC. WACCPD@SC 2015: 4:1-4:12

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ORNL & APPENTRA

This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725.

Validation Deployment Real environment TECHNOLOGY

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2x - 40x Titan Microbenchmarks

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ORNL & APPENTRA

Newcomers Learning Microbenchmarks TRAINING

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Work on specification of new tools for productive HPC training

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OUTLINE

  • Why Parallware?
  • ORNL & Appentra
  • Parallware Trainer (DEMO)
  • Conclusions
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Interactive Tool for HPC Training

“Tell me, I will forget, Show me, I may remember, Involve me, I will understand.” - Confucius Emerging Technologies

  • Higher productivity in HPC training
  • “Learn by Doing” & “Student-Centric”

EXPERIENTIAL LEARNING

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Interactive Tool for HPC Training

“Tell me, I will forget, Show me, I may remember, Involve me, I will understand.” - Confucius

  • Mandelbrot
  • Sparse Matrix - Vector product
  • Laplace computations
  • PGI compiler OpenMP & OpenACC

MICROBENCHMARKS

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  • Interactive real-time editor GUI
  • Assisted code parallelization using

OpenMP & OpenACC

  • Programming language C
  • Detailed report of the parallelism

discovered in the code

  • Support for multiple compilers

Interactive Tool for HPC Training

“Tell me, I will forget, Show me, I may remember, Involve me, I will understand.” - Confucius

“Take-away your work”

(based on make & ssh)

TECHNICAL FEATURES

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OUTLINE

  • Why Parallware?
  • ORNL & Appentra
  • Parallware Trainer (DEMO)
  • Conclusions
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CONCLUSIONS

  • Present Parallware Trainer at

SC16 Emerging Technologies Showcase

○ Tuesday, Wednesday, Thursday 9:00 AM - 17:30 PM, Room 155-B ○ Also booth talks at DoE, OpenMP and OpenACC

  • Parallware Trainer Early Access Program:

○ Invitation to participate (we need feedback) ○ Contact me <manuel.arenaz@appentra.com>

  • Continue ORNL & Appentra collaboration:

○ Prototype of Parallware Assistant for HPC developers ○ Search other innovative tools based on Parallware

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CONCLUSIONS

  • Present Parallware Trainer at

SC16 Emerging Technologies Showcase

○ Tuesday, Wednesday, Thursday 9:00 AM - 17:30 PM, Room 155-B ○ Also booth talks at DoE, OpenMP and OpenACC

  • Parallware Trainer Early Access Program:

○ Invitation to participate (we need feedback from users) ○ Contact me <manuel.arenaz@appentra.com>

  • Continue ORNL & Appentra collaboration:

○ Prototype of Parallware Assistant for HPC developers ○ Search other innovative tools based on Parallware

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CONCLUSIONS

  • Present Parallware Trainer at

SC16 Emerging Technologies Showcase

○ Tuesday, Wednesday, Thursday 9:00 AM - 17:30 PM, Room 155-B ○ Also booth talks at DoE, OpenMP and OpenACC

  • Parallware Trainer Early Access Program:

○ Invitation to participate (we need feedback) ○ Contact me <manuel.arenaz@appentra.com>

  • Continue ORNL & Appentra collaboration:

○ Prototype of Parallware Assistant for HPC developers ○ Search other innovative tools based on Parallware

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LLVM-based Software for Guided Parallelization with OpenMP

Manuel Arenaz manuel.arenaz@apppentra.com