Advanced Simulation Library Expanding software ecosystem for the DSP/FPGA/GPU market. September 3, 2015

Transcription

1 Advanced Simulation Library Expanding software ecosystem for the DSP/FPGA/GPU market September 3, 2015

2 1 ASL Advanced Simulation Library - free and open source, OpenCL-based multiphysics simulation software package Figure 1: CFD example Velocity field ASL entered all major Linux distributions in a record time!

3 ASL Features 1 Sophisticated algorithms and hardware acceleration 2 Pure C++ API OpenCL-based engine 3 Cross-platform: Linux, Unix, Windows, Mac OS X 4 Free AGPLv3 license 5 Various physical and chemical phenomena supported 6 Generation and manipulation of geometric primitives 7 Interfacing with well-known software: VTK/ParaView, MATLAB

4 Value proposition I 1 Sophisticated algorithms and hardware acceleration Using only the methods that allow efficient parallelization: Lattice Boltzmann method, Explicit Finite Difference, Matrix Free Finite Elements, etc Exploitation of all available hardware resources, such as SIMD, local cache, etc Carefully chosen numerical techniques allow ASL to bypass the prerequisite solid expertise in numerical modeling, which was required from the user in the past Extraordinarily high performance!

5 Value proposition II 2 Pure C++ API OpenCL-based engine Pure C++ API eliminates the initial long learning curve, required to master OpenCL High level C++ routines, no need for user to operate on the low hardware level Implementation of the engine in OpenCL enables deployment of applications on a variety of massively parallel architectures, ranging from inexpensive embedded FPGAs, DSPs and GPUs up to heterogeneous clusters/supercomputers (multiple multi-core CPUs, multiple GPUs/APUs, multiple nodes) Flexible design allows to add new engine back-ends (like CUDA) in the future 3 Cross-platform: Linux, Unix, Windows, Mac OS X Accelerates adoption

6 Value proposition III 4 Free AGPLv3 license Free of charge No limitations on the number of deployed computing units as in many commercial packages Availability of the source code ensures reproducibility of research Open Science - important for academia Users feel part of community Can participate/influence the development Social coding experience Stimulates external code contributions and extensive testing AGPL protects contributors against exploitation Companies get the code for free, no need for the upfront expenses - no risks

7 ASL Application Areas 1 High-performance scientific computing 2 Computer-aided engineering 3 Image-guided surgery 4 Non invasive measurements 5 Industrial process control 6 Virtual sensing 7 Etc, etc, etc

8 ASL Examples: Platform used A regular desktop was used in all benchmarks below: CPU: AMD FX(tm)-6300 Six-Core Processor 35GHz RAM: 8Gb GPU: Sapphire AMD Radeon HD GB GDDR5 BoostOC OS: 64-bit Debian GNU/Linux

9 Application Examples and Relevant Hardware Markets I 1 High-performance scientific computing Simulations in fundamental research by academia Weather forecast Oil and gas industry (reservoir evaluation, identifying drilling targets, risk assessment, etc) Etc, etc 2 Computer-aided engineering Crystal growth simulations by semiconductor and nanotechnology industries Aerodynamic/hydrodynamic simulations by automotive, aerospace and shipbuilding industries Required hardware: DSP/FPGA/GPU-based supercomputers/clusters

10 Example I: Aerodynamics of a Locomotive in a Tunnel Simulation of a locomotive running through a tunnel In this benchmark air flow velocity and pressure fields were computed

11 Example I: Aerodynamics of a Locomotive in a Tunnel Numerical setup Domain size: 187 x 125 x 500 Number of points: Resolution: 008 m Physical size: 1496 x 10 x 40 m³ Number of iterations: Time step: 48e-4 s Physical time: 96 s Computation time: 4191 s

12 Application Examples and Relevant Hardware Markets II 3 Image-guided surgery Real-time simulations of biophysical/biochemical processes in the human body by biomed industry Required hardware: DSP/FPGA/GPU embedded into medical devices

13 Example II: Computer-assisted cryo- and neurosurgery CryoVision - 3D cryoablation planning and visualization system for planning and guiding cryosurgery BrainShift - simulation of the brain shift process during a craniotomy procedure Utilized in ACTIVE (European FP7 project)

14 Application Examples and Relevant Hardware Markets III 4 Non invasive measurements 5 Industrial process control 6 Virtual sensing Real-time non-invasive measurement and optimization of process output parameters Simulation-based industrial process control Replacing physical sensors with virtual or soft sensors where the former are unavailable, impractical or do not provide sufficient information Required hardware: DSP/FPGA/GPU embedded into various devices and industrial equipment

15 Examples III: Multicomponent flow Multicomponent flow problem is typical for a number of technologies: oil refining, natural-gas processing, food manufacturing, industrial wastewater treatment, passive mixers, lab-on-a-chip, etc In this benchmark we present a 3D simulation of three-component flow in cross-coupled pipes All three components (white, red and blue) are water based solutions Flow characteristic velocity is 2 cm/s Video

16 Examples III: Multicomponent flow Numerical setup Domain size: 503 x 203 x 103 Number of points: Resolution: 05 mm Physical size: 25 x 10 x 5 cm³ Number of iterations: Time step: s Physical time: 25 s Computation time: 2895 s

17 Examples III: Physical Vapor Deposition Simulation of circular saw discs coating procedure employing Physical Vapor Deposition (PVD) method This metallization technique is used in a wide variety of other applications such as semiconductor wafers, photovoltaic cells, thin-film batteries, optical coatings, etc Present modeling can be utilized to optimize different output parameters of PVD: layer thickness uniformity, energetic efficiency, process duration, costs and productivity

18 Examples III: Microfluidic device Microfluidic device for separating mixtures of proteins