DLR-Präsentation im 4:3 Format (Englisch) without animation.pdf · - Robust and scalable...
Transcript of DLR-Präsentation im 4:3 Format (Englisch) without animation.pdf · - Robust and scalable...
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www.DLR.de • Chart 1 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
HPC@SC
Dr.-Ing. Achim Basermann DLR, Simulation and Software Technology (SC)
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High Performance Computing – Survey of Topics
Parallel algorithms and data structures
- Numerical libraries - Optimization algorithms and tools - Pre- and post-processing
Cooperation partner for the development of parallel applications
- HPC simulation codes
Parallelization techniques for modern architectures
- Parallel programming (MPI, OpenMP, OpenCL, OpenACC, PGAS, Python, …)
- Tools for parallel software systems - Software engineering for HPC codes
www.DLR.de • Chart 2 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
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Project Survey
- Exascale Computing
- CRESTA - ESSEX
- DLR Aeronautics and SPACE
- THERMAS - Free-Wake - BACARDI
- BMBF Inverse Problems
- HPC-FLiS
www.DLR.de • Chart 3 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
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EC Project CRESTA
- Three year EU-funded collaborative project, 13 partners, €12 million costs, €8.5 million funding, start: October 2011
- Collaborative Research into Exascale Systemware, Tools and Applications
- Project coordinator: EPCC at The University of Edinburgh - CRESTA has a very strong focus on exascale software challenges - Uses a co-design model of applications with exascale potential interacting
with systemware and tools activities - The hardware partner is Cray - Applications represent broad spectrum from science and engineering - CRESTA will compare and contrast incremental and disruptive solutions
to Exascale challenges
www.DLR.de • Chart 4 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
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Consortium & Applications
www.DLR.de • Chart 5 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
- Leading European HPC centres - EPCC, HLRS, CSC, PDC
- A world leading vendor - Cray
- World leading tools providers - TUD (Vampir), Allinea (DDT)
- Exascale application owners and specialists
- ABO, JYU, UCL, ECMWF, ECP, DLR
Application Grand challenge Partner responsible
GROMACS Biomolecular systems KTH (Sweden)
ELMFIRE Fusion energy ABO (Finland)
HemeLB Virtual Physiological Human UCL (UK)
IFS Numerical weather prediction ECMWF (International)
OpenFOAM Engineering EPCC / HLRS / ECP
Nek5000 Engineering KTH (Sweden)
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SC´s Task: Pre- and Post-Processing
Challenges in exascale post-processing - Huge amount of data to be processed and visualized - Not possible to store data on disk - Moving data is costly - Memory issue - Efficiency of parallelization with respect to visualization techniques - Latency
Application: blood flow simulation for aneurysm study
Approaches
- In-situ visualization - Interactive visualization - Multi-resolution data visualization
www.DLR.de • Chart 6 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
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Using Virtual Reality
- Power-wall, display-walI systems - Immersive visualization - Provide great details - Enhanced depth perception in VR - Enable user to explore their data in a natural way
www.DLR.de • Chart 7 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
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Computational Steering
- Steer mesh or simulation parameters
- Based on provided in-situ visualization
- Carry out steering while simulation is running
- Prevent failure - Achieve better convergence for the
solver - Saving time
www.DLR.de • Chart 8 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
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Post-processing: system survey
www.DLR.de • Chart 9 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
- Interactive data post- processing
- In-situ processing
- Enable computational steering
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Post-processing: co-design with HemeLB
- Prototype for post- processing with testing dataset
- Cylinder simulation with various number of lattice points, 1k-2M
- Performance evaluation on different datasets
- Visualization and steering overhead, approximately 20%.
www.DLR.de • Chart 10 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
The prototype of cut plane visualization
Number of lattice points / Time required
1k 16k 128K 256K 1M 2M
Simulation alone
0.0001 0.0021 0.0083 0.0146 0.011 0.021
With vis. and steering
0.00012 0.00219 0.00837 0.0158 0.0149 0.026
(256 processes)
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Post-processing: co-design with HemeLB
www.DLR.de • Chart 11 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
On-going work: - Bifurcation dataset
- Implementing LIC
(line intergral convolution) for the vector field
- Possible intergration to DLR´s VR system
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PPSTee: A Pre-Processing Interface for Steering Exascale Simulations
www.DLR.de • Chart 12 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
- Swappable external partitioning tool (ParMETIS, PTScotch, Zoltan)
- Flexible data format - Incorporates different simulation stages
like computation and visualization - Easily adjustable to
- new partitioning tools - different kinds of stages - fault tolerance - mesh refinement
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Pre-processing: HemeLB using PPStee on HECToR (1)
www.DLR.de • Chart 13 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
- Close match of HemeLB and PPStee with ParMETIS
- PPStee with PTScotch shows a similar behaviour, but is worse for larger thread counts (and shows scaling problems starting at 512 cores)
- PPStee with Zoltan shows a constant overhead
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Pre-processing: HemeLB using PPStee on HECToR (2)
www.DLR.de • Chart 14 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
0
50
100
150
200
250
300
512 1024 2048 4096 8192
runt
ime
[s]
threads
HemeLB on HECToR with aneurysm_0_025mm
parmetis
plain
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Future work
- Final tool development
- Co-design: tool integration into CRESTA applications - Pre- and post-processing: HemeLB - Pre- and post-processing: Nek5000 - Post-processing: Elmfire - Post-processing: OpenFOAM
- Co-design: tool evaluation with CRESTA applications
- Pre- and post-processing: HemeLB - Pre- and post-processing: Nek5000 - Post-processing: Elmfire - Post-processing: OpenFOAM
www.DLR.de • Chart 15 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
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DFG Project ESSEX (Start: January 2013): Equipping Sparse Solvers for the Exascale
www.DLR.de • Chart 16 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
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ESSEX Application: Complex Quantum Systems
www.DLR.de • Chart 17 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
Example: DC current through graphene nano-ribbon
Hard eigenproblems: - Find a few extreme eigenpairs - Find many interior eigenpairs
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Pipelined Hybrid-Parallel Jacobi-Davidson
Iterative solver for a few extreme eigenpairs - Based on (block) Jacobi-Davidson - Uses highly optimized MPI+X kernels - Dynamic scheduling to optimize cache usage and reduce latency effects
www.DLR.de • Chart 18 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
Technology for Computing Interior Eigenpairs
- Block Krylov methods to be used in the FEAST eigensolver - Robust and scalable incomplete factorization preconditioners for indefinite
matrices - The hard linear systems force us to rethink the way we do numerics on
parallel computers.
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DLR Project THERMAS : Analysis and Optimization of the Spaceliner Pre-Design
www.DLR.de • Chart 19 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
- Development of a hypersonic
passenger spacecraft for long distance flights
- Descent should be accomplished in gliding flight
- New research focus: development of a hybrid structure with integrated thermal control units involving magnetohydrodynamic (MHD) effects with cooled magnets
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Multidisciplinary Design Optimization: Sequential IDF (Individual Design Feasible)
www.DLR.de • Chart 20 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
- Geometry (e.g., maximum length
or nose radius of the space craft)
- Aerodynamics (e.g., lift and drag coefficients)
- Thermal management (e.g., the choice or combination of the cooling system and its parameters)
- Structural sizing (e.g., the computation of structural masses and center of gravity)
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Multidisciplinary Design Optimization: Sequential IDF (Individual Design Feasible)
www.DLR.de • Chart 21 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
- Geometry (e.g., maximum length
or nose radius of the space craft)
- Aerodynamics (e.g., lift and drag coefficients)
- Thermal management (e.g., the choice or combination of the cooling system and its parameters)
- Structural sizing (e.g., the computation of structural masses and center of gravity)
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Implementation of a Multidisciplinary Optimization Loop
www.DLR.de • Chart 22 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
- Implementation of the design process graph in the software platform RCE (remote component environment) coupling tools from different disciplines
- Problem: no derivatives available
- Up to now: use of derivative-free optimizers from toolbox DAKOTA
- Current development: new algorithm for nonlinear derivative-free constrained optimization
- Derivative-free trust-region SQP-method
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Implementation of a Multidisciplinary Optimization Loop
www.DLR.de • Chart 23 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
- Implementation of the design process graph in the software platform RCE (remote component environment) coupling tools from different disciplines
- Problem: no derivatives available
- Up to now: use of derivative-free optimizers from toolbox DAKOTA
- Current development: new algorithm for nonlinear derivative-free constrained optimization
- Derivative-free trust-region SQP-method
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DLR Project Free-Wake
- Free-Wake code developed at the DLR-Institute of Flight Systems, Rotorcraft department
- Simulates the flow around a helicopter’s rotor - Discretizes complex wake structures with a set of vortex elements - Models the interaction between wakes and rotor blades - Based on experimental data (from the international HART-program 1995) - MPI-parallel implementation in Fortran - SC´s task: porting Free-Wake to GPUs using OpenACC
www.DLR.de • Chart 24 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
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GPU Computing with OpenACC
- Directive based
- Similar to OpenMP
- Explicit data movement between host and GPU (bottleneck!)
- Supported by CAPS-, CRAY- and PGI-compilers (C, C++, Fortran)
- Recently: also supported by gcc
www.DLR.de • Chart 25 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
program main integer :: a(N) … !$acc data copyout(a) ! computation on the GPU in several loops: !$acc parallel loop do i = 1, N a(i) = 2*a(i) end do !$acc parallel loop … !$acc end data ! Now results available on the CPU … end program main
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DLR Project BACARDI: Backend Catalog for Relational Debris Information - Increasing number of space debris
- 26,000 known objects > 10 cm - Objects > 1 cm problematic
- Current capabilities at DLR, GSOC
- Orbit propagation - Collision detection - Observation planning and
correlation
- Composition of a DLR database - TLE unprecise - Precise data restricted
www.DLR.de • Chart 26 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
Copyright ESA
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Big Damage through Small Debris Particles
www.DLR.de • Chart 27 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
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BACARDI Architecture Layers
www.DLR.de • Chart 28 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
HPC technology and methods for - processing of orbit data from sensor data - processing of correlation operations with the data base
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www.DLR.de • Chart 29 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
System Analysis (1)
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www.DLR.de • Chart 30 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
System Analysis (1)
RDBMS
RDBMS
RDBMS
RDBMS RDBMS
RDBMS
RDBMS
Cache
Import Import
Process
Process Process
Process
Process Process
Goal: scalability to 1,000,000 objects
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www.DLR.de • Chart 31 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
System Analysis (2)
RDBMS
Cache
Import
Processing Python
FORTRAN
Middlew
are
Security
Tracebility
• Simple • Data parallel • Fast • Huge number
Export
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BMBF Project HPC-FLiS: An HPC Framework for the Solution of Inverse Problems
www.DLR.de • Chart 32 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
- Applications: material testing and medical diagnostics
- Industry partner: SIEMENS Corporate Technology
- SC´s task: software test
- Unit tests
- System tests
- HPC specific quality tests: scalability, communication efficiency - Use of HPC profiling and performance analysis tools
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www.DLR.de • Chart 33 > HPC@SC > Achim Basermann • 20131125_HPCatSC_Basermann.pptx > 25.11.2013
Questions?