4 6 8
Chair’s report
Director’s report
Strategic goals
Objectives
Core hour dollar value
To t a l c o r e h o u r v a l u e c o n s u m e d b y q u a r t e r 1,600,000 1,400,000 1,200,000 1,000,000 800,000 600,000 400,000 200,000 0
Q1 Q2 Q3 Q4
Q1 Q2 Q3 Q4
Q1 Q2 Q3 Q4
Q1 Q2 Q3 Q4
Q1 Q2 Q3 Q4
2012
2013
2014
2015
2016
Fabrice Cantos
Gene Soudlenkov
Yuriy Halytskyy
Kumaresh Rajalingam
Ruan Malan
Systems Engineer
Systems Engineer
Systems Engineer
Analyst Programmer
Solutions Architect
Aaron Hicks
Jose Higino
Greg Hall
Ben Roberts
Peter Maxwell
Systems Engineer
Systems Engineer
Systems Engineer
Application Support Specialist
Application Support Specialist
Jordi Blasco
Albert Savary
Matt Healey
Systems Integrator
Application Support Specialist
Application Support Specialist
Chris Scott Scientific Programmer
Registrations for Software Carpentry courses
Number of registrations
350 300 250 200 150 100 50 0 2015
2016
H i g h s p e e d d a t a t r a n s f e r s e r v i c e – Te r a b y t e s t r a n s f e r r e d p e r m o n t h 140
120
80
60
40
20
2016
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
0 Jan
Te r a b y t e s
100
CHRISTCHURCH SCIENCE DMZ
DUKE UNIVERSITY
L A B O R AT O R I E S
DTN CLUSTER
HA PROXY SERVER
H.C.S
DUNEDIN SCIENCE DMZ
PA C S
H.C.S
SIEMENS 3T MRI L A B O R AT O R I E S
KEY F I R E WA L L 10Gbps ETHERNET D T N = D a t a Tr a n s f e r N o d e s H.C.S = High Capacity Storage PA C S = P i c t u r e A r c h i v i n g + C o m m s S y s t e m
CHRISTCHURCH
DUNEDIN
DUKE UNIVERSITY
1
2
3
4
5
6
Georgina Rae Engagement Manager
QuakeCoRE platform usage in core hour value 18,000 QuakeCoRE launched
Core hour dollar value
16,000 14,000 12,000 10,000 8,000 6,000 4,000 2,000
2015
Jan
2016
2017
Deep South Challenge platform usage in core hour value 200,000
160,000 140,000 120,000 100,000 80,000 60,000 40,000 20,000
2016
2017
Feb
Jan
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
0 Dec
Core hour dollar value
180,000
2015
Feb
Dec
Nov
Sep
Oct
Aug
Jul
bbb-XQ
Apr
May
Mar
Jan
Feb
Dec
Oct
Nov
Sep
Jul
Aug
Jun
Apr
May
Mar
Jan
Feb
0
Organisations that actively used NeSI platforms by quarter 18 16 Institutions
14 12 10 8 6 4 2 0
Q1
Q2
Q3
Q4
Q1
Q2
2012
Q3
2013
Q4
Q1
Q2
Q3
Q4
Q1
Q2
2014
Q3
2015
Q4
Q1
Q2
Q3
Q4
2016
NeSI project allocations beyond collaborator projects
Number of project allocations
90 80 70 60 50 40 30 20 10 0 2012
2013
2014
Commercial
Institutional subscription
Proposal development
Merit
2015
2016 Postgraduate
NeSI platform usage by discipline 2012-2016 9,000,000
Earth science 171
8,000,000
Size of bubble and number relates to the number of researchers working on projects in that discipline
Core hour dollar value
7,000,000 6,000,000 5,000,000 4,000,000
Chemistry 122
3,000,000 2,000,000 1,000,000
Computer science 74
Biology 276
Engineering 170
Astronomy 18 Social science 2
Physics 125
0 Mathematics 67
Medical science 51 0
50
100
150
200
Number of projects
Research area platform utilisation
2,500,000
Core hour dollar value
2,000,000
1,500,000
Earth science Chemistry Engineering Physics
1,000,000
Biology Computer science
500,000
Mathematics Astronomy
0 2012
Medical science Social science
2013
2014
8QFODVVLĆHG
2015
2016
250
300
NeSI user accounts 900 Active user accounts
800 700 600 500 400 300 200 100 0 2012
2013
2014
2015
2016
Aleksandra Pawlik New user accounts generated each year by career stage
Research Communities Manager
160
New user accounts
140 120 100 80 60 40 20 0
2012
Staff or post doc
2013
PhD student
2014
2015
Non PhD student
2016
Visitor
Intern
0
-50
50
61 NPS
-100
100
Number of new NeSI projects per year by class 400 350
250 200 150 100 50 0 2012
2013
2014
2015
2016
2015
2016
ENLARGED SECTION
60
Projects
50 40 30 20 10 0 2012
2013
Commercial Postgraduate Merit
2014
Institutional subscription Proposal development Collaborator
Projects
300
Proportion of NeSI platform capacity used annually 120.00% Major decrease In capacity
Major increase in capacity
% capacity used
100.00%
80.00%
60.00%
40.00%
20.00%
0.00%
2012
2013
Capacity used
2014
2015
2016
Contracted capacity
Platform
12 months ending on 31/12/2015
12 months ending on 31/12/2016
% change
BG/P
47,072,364
22,888,235
N/A
x86
32,038,105
36,511,012
14%
P6
8,159,749
15,348,268
88%
Aggregated
40,197,854
51,859,280
29%
User Data Store 400TB
User Data Store 530TB
49.6 TB RAM
8.4 TB RAM
3,392 cores @ 4.7GHz/core
Platform
6,192 cores @ 2.7 -2.8GHz/core 42 general Purpose GPUs
Platform
P6 - NIWA
x86 - Auckland
x86 capacity and utilisation 50,000,000 45,000,000 40,000,000 Core hours
35,000,000 30,000,000 25,000,000 20,000,000 15,000,000 10,000,000 5,000,000 -
2012
2013
x86 usage
2014
2015
2016
x86 contracted capacity
P6 capacity and utilisation 18,000,000 16,000,000
Core hours
14,000,000 12,000,000 10,000,000 8,000,000 6,000,000 4,000,000 2,000,000 -
2012
2013
P6 usage
2014
2015
2016
P6 contracted capacity
BG/P capacity and utilisation 70,000,000 60,000,000
Core hours
50,000,000 40,000,000 30,000,000 20,000,000 10,000,000 2012
2013
BG/P usage
2014
2015
BG/P contracted capacity
2016
UNIFIED MODEL ATMOSPHERE 6N216/L85 or N96/L85
JULES LAND SURFACE
UKCA AND GLOMAP
DYNAMIC VEGETATION TERRESTRIAL C- CYCLE
STRAT-TROP OR SIMPLIFIED CHEMISTRY
OASIS3-MCT MCT COUPLER
GLIMMER/ BISICLES
MEDUSA BIOGEOCHEMISTRY
BIOGEOCHEMISTRY MODEL ANTARTICA AND GREENLAND
NEMO OCEAN MODEL à / RU à /
Nick Jones Director
National HPC platform
Large scale compute Large scale data storage Hight speed data transfer Remote visualisation Virtual labs Data back up and archive Platform test facility
Platform availability 100.0% Availability %
99.5% 99.0% 98.5% 98.0% 97.5% 97.0% 96.5% 2012
x86
Fabrice Cantos Site Manager - NIWA
2013
BG/P
2014
P6
2015
2016
KPI level
1.0
Ea,A =0.34 eV Ea,D =0.14 eV
0.5 0.0
ASSOCIATIVE MECHANISM
•
E/eV
-0.5
•
N2
N2 •
N2H
-1.0 •
N2
-1.5
DISSOCIATIVE MECHANISM
-2.0
•
H
•
2N
Robin Bensley Operations Manager
Mike Ladd
Kirsten Brown
Laura Casimiro
Strategic Projects Manager
Operations Coordinator
Operations Administrator
Sector Working Groups eResearch 2020 Governance and Working Groups
Research Reference Group Strategic reference group advising on annual plans, policies, and the National Platforms Framework
SENIOR MANAGEMENT
ENGAGEMENT
SOLUTIONS
ENGAGEMENT MANAGER
SOLUTIONS MANAGER
Stakeholder Relations
Computational Science and Analytics
Community Development
Application Support
Event Services
Integration and Collaboration
CUSTOMER SEGMENTS
Institutions
SERVICE C ATA LO G U E HPC Compute and Analytics
Researchers
Consultancy Training
Industry
Government
Data
MBIE
HOST
BOARD OF DIRECTORS
SERVICE MANAGEMENT AND DELIVERY
DIRECTOR
P L AT F O R M S
O P E R AT I O N S
P L AT F O R M S M A N A G E R
O P E R AT I O N S M A N A G E R
Site Management Platform Engineering
Human Resources Finance Contracts Information Technology
Crown funding This report has been prepared to meet contractual annual reporting requirements per the Crown Funding Agreement, to show income and expenditure for the NeSI Funding over the calendar year, and the closing cash position. NeSI Funding means all Crown contributions, other than the Host Fee.
2015 2016
NeSI Funding received1 Collaborator Crown funding
5,434,645
4,435,933
Total NeSI Funding
5,434,645
4,435,933
The University of Auckland
2,156,988
1,553,224
The University of Canterbury3
1,126,219 457,847
National Institute of Water and Atmospheric Research
1,865,564
1,512,312
Landcare Research
285,195
182,022
The University of Otago
674,322
334,818
Amounts paid/(owing) to Collaborators
Total paid/(owing) to collaborators
6,108,288 4,040,223
1. Crown Funding received
from MBIE per Crown Funding Agreement Net year end position (673,643) 395,710 2. Includes all collaborator
payments incurred for the year. Reconciliation to year end cash balance 3. Q3 & Q4 schedule payments
Add/(deduct) timing differences ($270,780 in total) are held by Add expenses incurred in prior period but paid this period4 1,196,641 Deduct expenses incurred this period but paid in next period5 Cash flow movement for period after adjustment of timing differences
(1,196,641)
(418,924)
522,998
(382,007)
Host without paying due to the withdrawal since September 2016. Decision will be made on either utilising the funding within NeSI 2 or returning back to MBIE. 4. 2015 period collaborator payment invoices paid in 2016.
Add/(deduct) special items 5. The closing cash balance of Repayment of Crown Funding for Depreciation during NeSI 1, $4,565,096 is mainly contributed to by the special item “Repayment by the University of Canterbury5 3,064,801 Cash flow movement for period Opening Cash balance - Crown Funding Cash movement Closing cash position - Crown Funding5
522,998
2,682,794
1,359,304
1,882,302
522,998
2,682,794
1,882,302
4,565,096
of Crown Funding for Depreciation during NeSI 1, by the University of Canterbury� together with a timing difference of 2016 payments made in 2017. In January 2017, NeSI agreed with MBIE to return these funds back to the MBIE SSIF appropriation. All figures are GST exclusive
This report summarises total NeSI expenditure in the previous and current years, noting the sources of funding and the lines of expenditure, and providing an outlook for the end of NeSI’s contracts with the Crown and collaborators through to the end of June 2018. 2015
2016
Forecast to June 2018
Crown Funding
6,265,261
5,632,525
21,839,998
Collaborator new investment
4,609,047
4,198,501
14,949,040
80,000
-38,405
5,778,999
0
0
10,580,842
34,069
15,213
515,884
10,988,377
9,807,834
53,664,763
5,792,388
6,280,876
24,871,376
771,365
542,649
2,342,594
2,117,131
1,755,481
5,053,837
2,253,086
1,302,822
4,521,233
80,000
-38,405
16,875,725
11,013,969
9,843,423
53,664,765
Contribution from
Collaborator Reinvestment Platform Access Fund (Co-funded Crown & collaborator) Sector Revenue Total Contribution to NeSI
Expenditure People Operating Platform Depreciation Capex Total Expenditure