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.<br />

What is HPC?<br />

“High Performance Computing (HPC) is a computer with a high-level computational<br />

capacity compared to a general-purpose computer. Performance of a supercomputer is<br />

measured in floating-point operations per second (FLOPS) instead of million instructions per<br />

second (MIPS).<br />

HPC clusters are characterized by many cores and processors, lots of memory, high-speed<br />

networking, and large data stores – all shared across many rack-mounted servers. User<br />

programs that run on a cluster are called jobs, and they are typically managed through a<br />

queueing system for optimal utilization of all available resources.<br />

N<strong>ET</strong>WORK (56 Gbps)<br />

CPU CPU CPU CPU CPU CPU CPU CPU CPU CPU CPU CPU CPU CPU CPU CPU CPU CPU<br />

MEMORY<br />

MEMORY<br />

MEMORY<br />

Group Research & Technology<br />

Geophysical Processing & Imaging<br />

Upstream IM & IT<br />

Geomechanics Group<br />

Total users : 40<br />

Server 1<br />

Server 2<br />

Server 3<br />

No Project Name Project Area OPU Quota<br />

PARALLEL<br />

SINGLE<br />

1 SUR2015BLOCK52 SURINAME Area GR&T 290TB<br />

2 Omega_Test N/A All User 30TB<br />

PGI-3D code<br />

In-house Developed Software<br />

Technology Division<br />

Omega<br />

Eclipse<br />

Visage<br />

T-Navigator<br />

Jason<br />

Intersect<br />

Beicip Termis<br />

High Priority Low<br />

PGI-3D code<br />

In-house Developed Software<br />

Technology Division<br />

MESA<br />

CMG<br />

Prosource<br />

Geoteric<br />

Hampson Russell<br />

Norsar<br />

Petrel<br />

3 MYS2015SK307 SK307 GR&T 53TB<br />

4 MYS2015PM318 ENAU / ABU Area GR&T 5TB<br />

5 MYS2015PM313 SEPAT Area GR&T 5TB<br />

6 MYS2015PM315 ANGSI Area GR&T 30TB<br />

7 MYS2016MAPMIGRATION<br />

8 MYS20162G2J<br />

Various Projects (Exploration and<br />

International Exploration)<br />

Velocity Pilot Study In<br />

UNGGUL / WAKID Area<br />

GPI<br />

Geomechanics<br />

Group<br />

5TB<br />

5TB<br />

Scenario<br />

Test Data Angsi I35LWEST_AS_712_BASE Angsi I-68_CEOR<br />

Base Case<br />

SRT = 2.83 hours<br />

SRT = 21.5 hours<br />

6 core 12 core<br />

Active Cells 162,546 1,080,848<br />

SRT SRT Reduction SRT SRT Reduction<br />

High End W/S 2.31 hours 18.29 % 9.78 hours 54.49 %<br />

PACE 1.66 hours 41.50 % 8.00 hours 62.79 %<br />

DELL EPTD 2.35 hours 16.85 % 10.01 hours 53.46 %<br />

* SRT = Simulation Run Time<br />

JASON– Hardware Benchmarking Result<br />

5 realization over 330057 traces with approximately 500 millisecond window interval<br />

Environment High End Workstation PACE<br />

Base Case 20 core 48 core<br />

SRT = 98 hours<br />

ECLIPSE – Hardware Benchmarking Result<br />

Test Data Dulang E300 Dulang E100 Sepat D<br />

SRT = 51 hours SRT = 5.1 hours SRT = 94.5 hours<br />

Base Case<br />

8 core 8 core 12 core<br />

Active Cells 310,699 1,045,195 129,252<br />

SRT SRT Reduction SRT SRT Reduction SRT SRT Reduction<br />

High End W/S 30.6 hours 40.00% 2.4 hours 52.94% 49.2 hours 47.94%<br />

PACE 30.6 hours 40.00% 2.8 hours 45.10% 43.7 hours 53.76%<br />

DELL EPTD 35.0 hours 31.37% 3.0 hours 41.18% 56.1 hours 40.63%<br />

CMG– Hardware Benchmarking Result<br />

SRT = 4 hours<br />

9 MYS2016SK307_EOR BOKOR Area GR&T 50TB<br />

10 MYS2016PM331 PM331, 2D to Pseudo-3D GPI 5TB<br />

11 MYR20162G2J_UNGGUL<br />

UNGGUL/LUMUTAN<br />

Block 2G2J<br />

Geomechanics<br />

Group<br />

10TB<br />

12 MYS2016RnDGASCLOUD Seismic Imaging under Gas Cloud GR&T 10TB<br />

13 MYS2016NUM_MODEL<br />

14 MMR2016LAND3D<br />

Processing And Imaging For Seismic<br />

Data Produced From A Known<br />

Velocity Model<br />

Land 3D Seismic Processing<br />

Capability Onshore Myanmar<br />

GPI<br />

GPI<br />

10TB<br />

10TB<br />

15 MYS2016SK_DW3F 3D Marine Isometrix PSDM-DW3F GPI 60TB<br />

16 GAB2016BLOCKF14 GABON 3D APSDM (BLOCK14) GPI 30TB<br />

17 MYS2016SKB11B12<br />

18 MYS2016SK316<br />

Sarawak – PSTM for B11/B12 field<br />

using DMO gathers<br />

Limbayong Area - To perform FWI &<br />

RTM<br />

GR&T<br />

GR&T<br />

10TB<br />

25TB<br />

As of 30 November 2016, extracted from Resource Database Administration<br />

* GR&T = Group Research & Technology<br />

* GPI = Geophysical Processing & Imaging<br />

Current<br />

Specification<br />

150 Tflops<br />

91.5 Tflops<br />

(GPU)<br />

57.6 Tflop<br />

(CPU)<br />

PACE Next Phase<br />

PACE-II (600 Tflop)<br />

PACE-I (150Tflop)<br />

Proposed<br />

Specification<br />

600 Tflops<br />

530 Tflops<br />

(GPU)<br />

68 Tflop<br />

(CPU)<br />

500 Tflop<br />

PGI-3D<br />

30 Tflop<br />

Geoteric<br />

968 core<br />

All apps<br />

Proposed Scale up<br />

2015<br />

PACE-I<br />

150Tflops<br />

2018<br />

PACE-II<br />

600<br />

Tflops<br />

>2021<br />

PACE upgrade<br />

> 1 Pflop<br />

Presentation Title (acronym) ;<br />

Division – Name/OPU/HCU/BU (acronym) ;<br />

Name of Presenter<br />

©Petroliam Nasional Berhad (P<strong>ET</strong>RONAS) 2014 12<br />

Internal

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