SlideShare a Scribd company logo
1 of 19
The role of advanced computing in
Big Data, AI and Machine Learning
Irish Centre for High-End Computing (ICHEC)
Venkatesh Kannan, Sita Karki
venkatesh.Kannan@ichec.ie, sita.karki@ichec.ie
1
About ICHEC
• Irish Centre for High-End Computing
• National Supercomputing Centre for Ireland
• Co-funded by the Irish Government departments (DBEI & DES)
• Offices in Dublin and Galway
• Data management and compute services to academic and research organisations
• Engagements with public and private sector
• Enterprise Accelerator & Innovation Hub
• Focus on big data management, high-performance data analytics and high-performance compute
• Bridging “technology providers” and “technology consumers”
2
ICHEC Expertise
3
• National Qπ Initiative driven by ICHEC since 2018.
• R&D for practically-relevant quantum computing
applications.
• National and European quantum computing
platforms coupled to HPC systems.
• National training programme and roadmap for
quantum computing.
• ICHEC driven in collaboration with Industry Experts Group
• EU Quantum Flagship Conference (EQTC) in
November 2021 at Dublin, Ireland.
Quantum Programming Ireland (Qπ) Initiative
4
Earth Observation (EO)
5
Satellite Platform for Ireland (SPÉir)
• Built and operated by ICHEC
• Collated archive of ESA satellite data sets (~150 TB per day)
• Sentinel 1 - Radar images for land & ocean services
• Sentinel 2 - Optical images for land services (vegetation, inland waterways, coastal
areas, etc.)
• Sentinel 3 - Ocean and global land monitoring services
• Sentinel 5P - Atmospheric composition & air quality monitoring services
• Interfaces & toolkits for Data and High Performance Processing Services
• Co-develop solutions
• Enterprise, public sector & research organisations leveraging satellite data
• Stakeholders engagement
• Infrastructure planning & development, environmental protection, precision
agriculture, renewable energy, climate change, …
6
7
AIREO Programme
AIREO
Interface
AIREO
Users
EO Features
Validation Data
Header information
Analytical Objectives
Labels
Test Data
Metadata
AIREO Datasets & Specifications
AIREO specifications
& best practices
AIREO tools &
datasets
AIREO network &
community
EO Applications
8
Studying Environment from Space (INFER)
https://infer.ichec.ie/ 9
Field Sampling
75 sampling points across 6 Lakes
● Muckno - 38 samples
● Sillan - 10 samples
● Derravargh - 5 samples
● Owel - 7 samples
● Sheelin - 5 samples
● Gill -10 samples
10
Field Radiometry
● Field radiometry was conducted using TRIOS RAMSES from
late 2019 to early 2020.
● The current procedure entails collection of reflectance
data from the lakes during the S2 overpass as it helps to
identify the correct atmospheric correction algorithm.
11
EO Platform
Computation
using Optimized
Algorithm
Will be run on
production scale
after final validation
with TRAC
12
•Prototype online GIS platform
•Turbidity and Chlorophyll
products from the optimized
algorithms
Prototype of EO Platform (Lakes)
https://eoplatform.ichec.ie/infer/
13
Ulva Blooms across Estuarine and Coastal Areas of Ireland
(MACROMAN)
• 9 different estuarine areas
• 3 different ecological status
Moderate: 5
Poor: 3
Bad: 1
14
EO and Field Data Match
• Dates: 2010 to 2018
• Sensors: Sentinel 2 and
Landsat (5 and 8)
• Sentinel (24)+Landsat (10)
• Time difference: Around
two weeks
• Field Data: EPA (Robert
Wilkes)
15
Spatial Coverage
16
Biomass Computation
17
Biomass Mapping
http://www.seamatproject.net/macroman-project.html
18
Atmospheric monitoring
19

More Related Content

What's hot

Smarter Innovation at Scale
Smarter Innovation at ScaleSmarter Innovation at Scale
Smarter Innovation at ScaleGovnet Events
 
Federated Galaxy: Biomedical Computing at the Frontier
Federated Galaxy: Biomedical Computing at the FrontierFederated Galaxy: Biomedical Computing at the Frontier
Federated Galaxy: Biomedical Computing at the FrontierEnis Afgan
 
IRUS-UK at Repository Fringe 2015 - Jo Alcock
IRUS-UK at Repository Fringe 2015 - Jo AlcockIRUS-UK at Repository Fringe 2015 - Jo Alcock
IRUS-UK at Repository Fringe 2015 - Jo AlcockRepository Fringe
 
EGI Engage: Impact & Results
EGI Engage: Impact & ResultsEGI Engage: Impact & Results
EGI Engage: Impact & ResultsEGI Federation
 
Fat Nodes & GPGPUs - Red-shifting your infrastructure without breaking the bu...
Fat Nodes & GPGPUs - Red-shifting your infrastructure without breaking the bu...Fat Nodes & GPGPUs - Red-shifting your infrastructure without breaking the bu...
Fat Nodes & GPGPUs - Red-shifting your infrastructure without breaking the bu...Eoin Brazil
 
Remote Monitoring of Lead-Acid Battery Based on WLAN
Remote Monitoring of Lead-Acid Battery Based on WLANRemote Monitoring of Lead-Acid Battery Based on WLAN
Remote Monitoring of Lead-Acid Battery Based on WLANOka Danil
 
SRDS2019: Abeona: an Architecture for Energy-Aware Task Migrations from the E...
SRDS2019: Abeona: an Architecture for Energy-Aware Task Migrations from the E...SRDS2019: Abeona: an Architecture for Energy-Aware Task Migrations from the E...
SRDS2019: Abeona: an Architecture for Energy-Aware Task Migrations from the E...LEGATO project
 
Introduction to the Orléans/OGC INSPIRE Hackathon 2018
Introduction to the Orléans/OGC INSPIRE Hackathon 2018Introduction to the Orléans/OGC INSPIRE Hackathon 2018
Introduction to the Orléans/OGC INSPIRE Hackathon 2018plan4all
 
Ian Grant_Adoption of AusCover data standards and systems to improve access t...
Ian Grant_Adoption of AusCover data standards and systems to improve access t...Ian Grant_Adoption of AusCover data standards and systems to improve access t...
Ian Grant_Adoption of AusCover data standards and systems to improve access t...TERN Australia
 
106th OGC Technical Committee
106th OGC Technical Committee106th OGC Technical Committee
106th OGC Technical Committeeplan4all
 
Controlling Environment Monitoring Networks
Controlling Environment Monitoring NetworksControlling Environment Monitoring Networks
Controlling Environment Monitoring NetworksCLEEN_Ltd
 
22 - CSIRO - Water Data Management-Sep-17
22 - CSIRO - Water Data Management-Sep-1722 - CSIRO - Water Data Management-Sep-17
22 - CSIRO - Water Data Management-Sep-17indiawrm
 
Regulatory Sandboxes in the Energy Sector | DSM University
Regulatory Sandboxes in the Energy Sector | DSM UniversityRegulatory Sandboxes in the Energy Sector | DSM University
Regulatory Sandboxes in the Energy Sector | DSM UniversityLeonardo ENERGY
 
OSFair2017 Workshop | Impact Data Services on the Cloud
OSFair2017 Workshop | Impact Data Services on the CloudOSFair2017 Workshop | Impact Data Services on the Cloud
OSFair2017 Workshop | Impact Data Services on the CloudOpen Science Fair
 

What's hot (20)

Smarter Innovation at Scale
Smarter Innovation at ScaleSmarter Innovation at Scale
Smarter Innovation at Scale
 
Excellerat CoE
Excellerat CoEExcellerat CoE
Excellerat CoE
 
Federated Galaxy: Biomedical Computing at the Frontier
Federated Galaxy: Biomedical Computing at the FrontierFederated Galaxy: Biomedical Computing at the Frontier
Federated Galaxy: Biomedical Computing at the Frontier
 
AEP Qualified Data Center Site Program
AEP Qualified Data Center Site Program AEP Qualified Data Center Site Program
AEP Qualified Data Center Site Program
 
ICHEC - Observation systems, technologies and big data
ICHEC - Observation systems, technologies and big dataICHEC - Observation systems, technologies and big data
ICHEC - Observation systems, technologies and big data
 
IRUS-UK at Repository Fringe 2015 - Jo Alcock
IRUS-UK at Repository Fringe 2015 - Jo AlcockIRUS-UK at Repository Fringe 2015 - Jo Alcock
IRUS-UK at Repository Fringe 2015 - Jo Alcock
 
EGI Engage: Impact & Results
EGI Engage: Impact & ResultsEGI Engage: Impact & Results
EGI Engage: Impact & Results
 
Fat Nodes & GPGPUs - Red-shifting your infrastructure without breaking the bu...
Fat Nodes & GPGPUs - Red-shifting your infrastructure without breaking the bu...Fat Nodes & GPGPUs - Red-shifting your infrastructure without breaking the bu...
Fat Nodes & GPGPUs - Red-shifting your infrastructure without breaking the bu...
 
Remote Monitoring of Lead-Acid Battery Based on WLAN
Remote Monitoring of Lead-Acid Battery Based on WLANRemote Monitoring of Lead-Acid Battery Based on WLAN
Remote Monitoring of Lead-Acid Battery Based on WLAN
 
SRDS2019: Abeona: an Architecture for Energy-Aware Task Migrations from the E...
SRDS2019: Abeona: an Architecture for Energy-Aware Task Migrations from the E...SRDS2019: Abeona: an Architecture for Energy-Aware Task Migrations from the E...
SRDS2019: Abeona: an Architecture for Energy-Aware Task Migrations from the E...
 
Introduction to the Orléans/OGC INSPIRE Hackathon 2018
Introduction to the Orléans/OGC INSPIRE Hackathon 2018Introduction to the Orléans/OGC INSPIRE Hackathon 2018
Introduction to the Orléans/OGC INSPIRE Hackathon 2018
 
Ian Grant_Adoption of AusCover data standards and systems to improve access t...
Ian Grant_Adoption of AusCover data standards and systems to improve access t...Ian Grant_Adoption of AusCover data standards and systems to improve access t...
Ian Grant_Adoption of AusCover data standards and systems to improve access t...
 
106th OGC Technical Committee
106th OGC Technical Committee106th OGC Technical Committee
106th OGC Technical Committee
 
Current and future data resources in Scotland
Current and future data resources in ScotlandCurrent and future data resources in Scotland
Current and future data resources in Scotland
 
HNSciCloud Overview
HNSciCloud Overview HNSciCloud Overview
HNSciCloud Overview
 
Controlling Environment Monitoring Networks
Controlling Environment Monitoring NetworksControlling Environment Monitoring Networks
Controlling Environment Monitoring Networks
 
22 - CSIRO - Water Data Management-Sep-17
22 - CSIRO - Water Data Management-Sep-1722 - CSIRO - Water Data Management-Sep-17
22 - CSIRO - Water Data Management-Sep-17
 
Overview of HNSciCloud - Bob Jones (CERN)
Overview of HNSciCloud - Bob Jones (CERN)Overview of HNSciCloud - Bob Jones (CERN)
Overview of HNSciCloud - Bob Jones (CERN)
 
Regulatory Sandboxes in the Energy Sector | DSM University
Regulatory Sandboxes in the Energy Sector | DSM UniversityRegulatory Sandboxes in the Energy Sector | DSM University
Regulatory Sandboxes in the Energy Sector | DSM University
 
OSFair2017 Workshop | Impact Data Services on the Cloud
OSFair2017 Workshop | Impact Data Services on the CloudOSFair2017 Workshop | Impact Data Services on the Cloud
OSFair2017 Workshop | Impact Data Services on the Cloud
 

Similar to The Irish Centre for High End Computing and IBM: The role of advanced computing in Big Data, AI and Machine Learning.

Introduction to the EOSC-hub project
Introduction to the EOSC-hub projectIntroduction to the EOSC-hub project
Introduction to the EOSC-hub projectEOSC-hub project
 
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...EOSC-hub project
 
Cross e-Infrastructure collaborations
Cross e-Infrastructure collaborationsCross e-Infrastructure collaborations
Cross e-Infrastructure collaborationsEUDAT
 
EOSC-hub RDA 11 Colocation Presentation
EOSC-hub RDA 11 Colocation PresentationEOSC-hub RDA 11 Colocation Presentation
EOSC-hub RDA 11 Colocation PresentationEOSC-hub project
 
The attica Hub for the economy of data and devices
The attica Hub for the economy of data and devicesThe attica Hub for the economy of data and devices
The attica Hub for the economy of data and devicesBig Data Value Association
 
SFScon22 - Roberto Monsorno - ERMES - EnviRonmental pollution Micromobility s...
SFScon22 - Roberto Monsorno - ERMES - EnviRonmental pollution Micromobility s...SFScon22 - Roberto Monsorno - ERMES - EnviRonmental pollution Micromobility s...
SFScon22 - Roberto Monsorno - ERMES - EnviRonmental pollution Micromobility s...South Tyrol Free Software Conference
 
eTRIKS at Pharma IT 2017, London
eTRIKS at Pharma IT 2017, LondoneTRIKS at Pharma IT 2017, London
eTRIKS at Pharma IT 2017, LondonPaul Agapow
 
Cloud Computing Needs for Earth Observation Data Analysis: EGI and EOSC-hub
Cloud Computing Needs for Earth Observation Data Analysis: EGI and EOSC-hubCloud Computing Needs for Earth Observation Data Analysis: EGI and EOSC-hub
Cloud Computing Needs for Earth Observation Data Analysis: EGI and EOSC-hubBjörn Backeberg
 
RECAP at ETSI Experiential Network Intelligence (ENI) Meeting
RECAP at ETSI Experiential Network Intelligence (ENI) MeetingRECAP at ETSI Experiential Network Intelligence (ENI) Meeting
RECAP at ETSI Experiential Network Intelligence (ENI) MeetingRECAP Project
 
Building and Operating National Open Science Research Infrastructures - the e...
Building and Operating National Open Science Research Infrastructures - the e...Building and Operating National Open Science Research Infrastructures - the e...
Building and Operating National Open Science Research Infrastructures - the e...African Open Science Platform
 
Driving Network and Marketing Investments at O2 by Focusing on Improving the ...
Driving Network and Marketing Investments at O2 by Focusing on Improving the ...Driving Network and Marketing Investments at O2 by Focusing on Improving the ...
Driving Network and Marketing Investments at O2 by Focusing on Improving the ...DataWorks Summit
 
Open Data at Edinburgh City Council
Open Data at Edinburgh City CouncilOpen Data at Edinburgh City Council
Open Data at Edinburgh City CouncilJadu
 
Dennis Kehoe - ECO 15: Digital connectivity in healthcare
Dennis Kehoe - ECO 15: Digital connectivity in healthcareDennis Kehoe - ECO 15: Digital connectivity in healthcare
Dennis Kehoe - ECO 15: Digital connectivity in healthcareInnovation Agency
 
Wielkopolska activities with potential to cluster to cluster collaboration EU...
Wielkopolska activities with potential to cluster to cluster collaboration EU...Wielkopolska activities with potential to cluster to cluster collaboration EU...
Wielkopolska activities with potential to cluster to cluster collaboration EU...Raul Palma
 
CINECA webinar slides: Data Gravity in the Life Sciences: Lessons learned fro...
CINECA webinar slides: Data Gravity in the Life Sciences: Lessons learned fro...CINECA webinar slides: Data Gravity in the Life Sciences: Lessons learned fro...
CINECA webinar slides: Data Gravity in the Life Sciences: Lessons learned fro...CINECAProject
 
EOSC Stakeholders Forum: For a FAIR Europe-What's Needed, What's Existing
EOSC Stakeholders Forum: For a FAIR Europe-What's Needed, What's ExistingEOSC Stakeholders Forum: For a FAIR Europe-What's Needed, What's Existing
EOSC Stakeholders Forum: For a FAIR Europe-What's Needed, What's ExistingEOSCpilot .eu
 

Similar to The Irish Centre for High End Computing and IBM: The role of advanced computing in Big Data, AI and Machine Learning. (20)

EPCC MSc industry projects
EPCC MSc industry projectsEPCC MSc industry projects
EPCC MSc industry projects
 
Introduction to the EOSC-hub project
Introduction to the EOSC-hub projectIntroduction to the EOSC-hub project
Introduction to the EOSC-hub project
 
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...
 
Cross e-Infrastructure collaborations
Cross e-Infrastructure collaborationsCross e-Infrastructure collaborations
Cross e-Infrastructure collaborations
 
EOSC-hub RDA 11 Colocation Presentation
EOSC-hub RDA 11 Colocation PresentationEOSC-hub RDA 11 Colocation Presentation
EOSC-hub RDA 11 Colocation Presentation
 
The attica Hub for the economy of data and devices
The attica Hub for the economy of data and devicesThe attica Hub for the economy of data and devices
The attica Hub for the economy of data and devices
 
BDVA i Spaces - ahedd
BDVA i Spaces - aheddBDVA i Spaces - ahedd
BDVA i Spaces - ahedd
 
SFScon22 - Roberto Monsorno - ERMES - EnviRonmental pollution Micromobility s...
SFScon22 - Roberto Monsorno - ERMES - EnviRonmental pollution Micromobility s...SFScon22 - Roberto Monsorno - ERMES - EnviRonmental pollution Micromobility s...
SFScon22 - Roberto Monsorno - ERMES - EnviRonmental pollution Micromobility s...
 
RCUK Cloud Workshop
RCUK Cloud WorkshopRCUK Cloud Workshop
RCUK Cloud Workshop
 
eTRIKS at Pharma IT 2017, London
eTRIKS at Pharma IT 2017, LondoneTRIKS at Pharma IT 2017, London
eTRIKS at Pharma IT 2017, London
 
Cloud Computing Needs for Earth Observation Data Analysis: EGI and EOSC-hub
Cloud Computing Needs for Earth Observation Data Analysis: EGI and EOSC-hubCloud Computing Needs for Earth Observation Data Analysis: EGI and EOSC-hub
Cloud Computing Needs for Earth Observation Data Analysis: EGI and EOSC-hub
 
RECAP at ETSI Experiential Network Intelligence (ENI) Meeting
RECAP at ETSI Experiential Network Intelligence (ENI) MeetingRECAP at ETSI Experiential Network Intelligence (ENI) Meeting
RECAP at ETSI Experiential Network Intelligence (ENI) Meeting
 
Building and Operating National Open Science Research Infrastructures - the e...
Building and Operating National Open Science Research Infrastructures - the e...Building and Operating National Open Science Research Infrastructures - the e...
Building and Operating National Open Science Research Infrastructures - the e...
 
Driving Network and Marketing Investments at O2 by Focusing on Improving the ...
Driving Network and Marketing Investments at O2 by Focusing on Improving the ...Driving Network and Marketing Investments at O2 by Focusing on Improving the ...
Driving Network and Marketing Investments at O2 by Focusing on Improving the ...
 
Open Data at Edinburgh City Council
Open Data at Edinburgh City CouncilOpen Data at Edinburgh City Council
Open Data at Edinburgh City Council
 
Dennis Kehoe - ECO 15: Digital connectivity in healthcare
Dennis Kehoe - ECO 15: Digital connectivity in healthcareDennis Kehoe - ECO 15: Digital connectivity in healthcare
Dennis Kehoe - ECO 15: Digital connectivity in healthcare
 
OCRE webinar - April 14 - Dave Heyns.pdf
OCRE webinar - April 14 - Dave Heyns.pdfOCRE webinar - April 14 - Dave Heyns.pdf
OCRE webinar - April 14 - Dave Heyns.pdf
 
Wielkopolska activities with potential to cluster to cluster collaboration EU...
Wielkopolska activities with potential to cluster to cluster collaboration EU...Wielkopolska activities with potential to cluster to cluster collaboration EU...
Wielkopolska activities with potential to cluster to cluster collaboration EU...
 
CINECA webinar slides: Data Gravity in the Life Sciences: Lessons learned fro...
CINECA webinar slides: Data Gravity in the Life Sciences: Lessons learned fro...CINECA webinar slides: Data Gravity in the Life Sciences: Lessons learned fro...
CINECA webinar slides: Data Gravity in the Life Sciences: Lessons learned fro...
 
EOSC Stakeholders Forum: For a FAIR Europe-What's Needed, What's Existing
EOSC Stakeholders Forum: For a FAIR Europe-What's Needed, What's ExistingEOSC Stakeholders Forum: For a FAIR Europe-What's Needed, What's Existing
EOSC Stakeholders Forum: For a FAIR Europe-What's Needed, What's Existing
 

Recently uploaded

Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxolyaivanovalion
 
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSUkraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSAishani27
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxolyaivanovalion
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfMarinCaroMartnezBerg
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxfirstjob4
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998YohFuh
 
Unveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystUnveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystSamantha Rae Coolbeth
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfRachmat Ramadhan H
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxolyaivanovalion
 
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.pptdokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.pptSonatrach
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfLars Albertsson
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxolyaivanovalion
 
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一ffjhghh
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfLars Albertsson
 
Carero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxCarero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxolyaivanovalion
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysismanisha194592
 
04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationships04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationshipsccctableauusergroup
 
B2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxB2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxStephen266013
 

Recently uploaded (20)

Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptx
 
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSUkraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICS
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptx
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdf
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptx
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998
 
Unveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystUnveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data Analyst
 
E-Commerce Order PredictionShraddha Kamble.pptx
E-Commerce Order PredictionShraddha Kamble.pptxE-Commerce Order PredictionShraddha Kamble.pptx
E-Commerce Order PredictionShraddha Kamble.pptx
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptx
 
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.pptdokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptx
 
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdf
 
Carero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxCarero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptx
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysis
 
04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationships04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationships
 
B2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxB2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docx
 

The Irish Centre for High End Computing and IBM: The role of advanced computing in Big Data, AI and Machine Learning.

  • 1. The role of advanced computing in Big Data, AI and Machine Learning Irish Centre for High-End Computing (ICHEC) Venkatesh Kannan, Sita Karki venkatesh.Kannan@ichec.ie, sita.karki@ichec.ie 1
  • 2. About ICHEC • Irish Centre for High-End Computing • National Supercomputing Centre for Ireland • Co-funded by the Irish Government departments (DBEI & DES) • Offices in Dublin and Galway • Data management and compute services to academic and research organisations • Engagements with public and private sector • Enterprise Accelerator & Innovation Hub • Focus on big data management, high-performance data analytics and high-performance compute • Bridging “technology providers” and “technology consumers” 2
  • 4. • National Qπ Initiative driven by ICHEC since 2018. • R&D for practically-relevant quantum computing applications. • National and European quantum computing platforms coupled to HPC systems. • National training programme and roadmap for quantum computing. • ICHEC driven in collaboration with Industry Experts Group • EU Quantum Flagship Conference (EQTC) in November 2021 at Dublin, Ireland. Quantum Programming Ireland (Qπ) Initiative 4
  • 6. Satellite Platform for Ireland (SPÉir) • Built and operated by ICHEC • Collated archive of ESA satellite data sets (~150 TB per day) • Sentinel 1 - Radar images for land & ocean services • Sentinel 2 - Optical images for land services (vegetation, inland waterways, coastal areas, etc.) • Sentinel 3 - Ocean and global land monitoring services • Sentinel 5P - Atmospheric composition & air quality monitoring services • Interfaces & toolkits for Data and High Performance Processing Services • Co-develop solutions • Enterprise, public sector & research organisations leveraging satellite data • Stakeholders engagement • Infrastructure planning & development, environmental protection, precision agriculture, renewable energy, climate change, … 6
  • 7. 7 AIREO Programme AIREO Interface AIREO Users EO Features Validation Data Header information Analytical Objectives Labels Test Data Metadata AIREO Datasets & Specifications AIREO specifications & best practices AIREO tools & datasets AIREO network & community
  • 9. Studying Environment from Space (INFER) https://infer.ichec.ie/ 9
  • 10. Field Sampling 75 sampling points across 6 Lakes ● Muckno - 38 samples ● Sillan - 10 samples ● Derravargh - 5 samples ● Owel - 7 samples ● Sheelin - 5 samples ● Gill -10 samples 10
  • 11. Field Radiometry ● Field radiometry was conducted using TRIOS RAMSES from late 2019 to early 2020. ● The current procedure entails collection of reflectance data from the lakes during the S2 overpass as it helps to identify the correct atmospheric correction algorithm. 11
  • 12. EO Platform Computation using Optimized Algorithm Will be run on production scale after final validation with TRAC 12
  • 13. •Prototype online GIS platform •Turbidity and Chlorophyll products from the optimized algorithms Prototype of EO Platform (Lakes) https://eoplatform.ichec.ie/infer/ 13
  • 14. Ulva Blooms across Estuarine and Coastal Areas of Ireland (MACROMAN) • 9 different estuarine areas • 3 different ecological status Moderate: 5 Poor: 3 Bad: 1 14
  • 15. EO and Field Data Match • Dates: 2010 to 2018 • Sensors: Sentinel 2 and Landsat (5 and 8) • Sentinel (24)+Landsat (10) • Time difference: Around two weeks • Field Data: EPA (Robert Wilkes) 15