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Fine-Grain Computing Mark Govett NOAA/ESRL/GSD GSD Science Review 3-5 Nov 2015 1

Fine-Grain Computing · 3-5 Nov 2015 GSD Science Review 3 Fine Grain Computing Research . Icosahedral Grid (480 km) • Goal: run 3 km global at NWS by 2020 • 5 billion grid cells

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Page 1: Fine-Grain Computing · 3-5 Nov 2015 GSD Science Review 3 Fine Grain Computing Research . Icosahedral Grid (480 km) • Goal: run 3 km global at NWS by 2020 • 5 billion grid cells

Fine-Grain Computing

Mark Govett NOAA/ESRL/GSD

GSD Science Review 3-5 Nov 2015

1

Page 2: Fine-Grain Computing · 3-5 Nov 2015 GSD Science Review 3 Fine Grain Computing Research . Icosahedral Grid (480 km) • Goal: run 3 km global at NWS by 2020 • 5 billion grid cells

3-5 Nov 2015 GSD Science Review 2

Fine-Grain Computing

• Increasing number of cores • Increasing cost: system, facilities, power

CPU Fine-Grain: GPU & MIC Intel Haswell

24 cores / chip 270 Watts, $3.5K

NVIDIA Kepler GPU 4992 cores / chip 300 Watts, $5K

Key Chip Technologies

in 2015

NOAA FG System

May 2016

Theia CPU: 25K cores, $17M

NOAA Research Systems

??? cores, $8M

Evolution of HPC 2001

Page 3: Fine-Grain Computing · 3-5 Nov 2015 GSD Science Review 3 Fine Grain Computing Research . Icosahedral Grid (480 km) • Goal: run 3 km global at NWS by 2020 • 5 billion grid cells

3-5 Nov 2015 GSD Science Review 3

Fine Grain Computing Research

Icosahedral Grid

(480 km)

• Goal: run 3 km global at NWS by 2020 • 5 billion grid cells (50M horizontal, 100 vertical) – 1000 GPUs = 5 million compute cores – Models must exploit parallelism

• NIM used to demonstrate and drive requirements – Good design

• Portability, Performance • CPU, GPU, MIC

– Compilers, directives • F2C-ACC drives Industry 2015 Edison CPU

130K cores 2012 Titan GPU

17K GPUs

Page 4: Fine-Grain Computing · 3-5 Nov 2015 GSD Science Review 3 Fine Grain Computing Research . Icosahedral Grid (480 km) • Goal: run 3 km global at NWS by 2020 • 5 billion grid cells

NIM Performance

& Scaling

3-5 Nov 2015 GSD Science Review 4

Research and Operations • Leadership on HPC for NOAA

– Explore new technologies – Collaborations with industry

• Apply NIM lessons to FV-3, MPAS

GPU: Pascal MIC: KNC

CPU: ARM-64

2016 Chips