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A GPU Implementation of Extragalactic Radio Source Detectio A GPU Implementation of Extragalactic Radio Source Detectio

A GPU Implementation of Extragalactic Radio Source Detectio - PowerPoint Presentation

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A GPU Implementation of Extragalactic Radio Source Detectio - PPT Presentation

A CUDA Approach Gary Resnick Scott Badenhorst Department of Computer Science University of Cape Town 17 March 2010 Introduction Approach Plan Outcomes Overview Radio Astronomy ID: 278689

extraction source gpu amp source extraction amp gpu radio project data image implementations current work cuda approach questions risks

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Slide1

A GPU Implementation of Extragalactic Radio Source DetectionA CUDA Approach

Gary

Resnick

Scott

Badenhorst

Department of Computer Science

University of Cape Town

17 March, 2010Slide2

IntroductionApproachPlanOutcomes

OverviewSlide3

Radio AstronomySlide4

A radio image of the sky Slide5

Radio InterferometrySlide6

What is a Source?Slide7
Slide8
Slide9

PipelineSlide10
Slide11

Source ExtractionSlide12

Source Extraction PipelineSlide13

FITS Data CubeSlide14

Blob Detection (XY)Slide15

Characterisation (Z)Slide16

HI (Neutral Hydrogen)Slide17

AIPSIMFITIMSADSource ExtractorDeblend

Duchamp

Own variation

Related WorkSlide18

PlanBack down to EarthSlide19

Can the GPU be utilized for efficient image source extraction? How well does a GPU solution scale to handle large image data volumes?

Can we improve the processing time of current source extraction software?

Research QuestionsSlide20

The accuracy of the GPU implementations are greater than or equate to current extraction algorithms Sufficient reliability of faint source detection

Spurious detections (Type I error) are constrained by a

p-

value of 0.05

Attaining a speedup on the GPU implementations in the order of

10

x or greater than traditional CPU implementations

Key Success FactorsSlide21

Work Allocation

Team

IndividuallySlide22

Each member will independently implement a CPU implementation of a source extraction algorithm and then port it to the GPUSource ExtractionSlide23

Interfaces with Framework

Source Extraction

Segments (grids) of pixels

List of sources

Validation & Filtration

Validated source listSlide24

Factor

Probability

Impact

Risk

Failure to acquire data

low

low

low

Stakeholder departure

low

high

low

Data/code loss

low

high

medium

Unsuccessful module implementation

medium

medium

medium

Hardware failure

low

medium

high

Cascading delay

medium

high

medium

Risks

Risk FactorsSlide25

Radio Survey DataSynthesizedReal Sky Map

Implemented in C/C++ & CUDA on GNU/Linux

CFITSIO & WCSLIB Libraries

Developed on NVIDIA (CUDA Compliant) Fermi architecture

High-end machine with current gen NVIDIA card(s)

People

Resources RequiredSlide26

OutcomesSlide27

Software developed for source extraction and catalogue generation. Two independent reports A website and poster Presentation to demonstrate the project.

Deliverables & MilestonesSlide28

Open SourceDistributed under GNU GPL Akin to Duchamp & SeXtractorGNU/Linux Compatibility

Comparable

performance/accuracy across

distros

Institutions maintain data ownership

Retains rights to catalogues

produced

Data Integrity

Standardized input and output formats

Ethical, Professional & Legal IssuesSlide29

We present an approach to solving a problem within Astronomy that needs to be addressedOur approach is well thought out and relevant A balanced and fair work load has been allocated to each member

The project has minimal unmitigated risks

ConclusionSlide30

Questions?Slide31

Project Timeline