© 2016 OpenPOWER Foundation

CAPI SNAP Framework

Bruce Wile

CAPI SNAP Framework

• Concept initiated at OpenPOWER Summit San Jose in April, 2016

• Two significant directives:1. The framework must make it easy for programmers to call accelerators and

write their own acceleration IP.

2. The framework must be open source to enable continued enhancements and cross company collaboration.

• Framework will be release on github at the end of the year

• Seven OpenPOWER companies actively contributing:

© 2015 OpenPOWER Foundation 2

SNAP = Storage, Networking, and Analytics Programming

CAPI SNAP Overview

© 2016 OpenPOWER Foundation 3

POWER8 Cores

YourApplication

CAPI Framework

Library

YourApplicationYour

Application

APISource,

Action,

Destination

Virtual Address Space

Virtual Address Space

Virtual Address Space

CAPI over

PCI-E

FPGA

FrameworkAction Code

8G Local

DRAM

Network,

Flash,

SAN, …

FPGA

FrameworkAction Code

2TB Flash

Make CAPI easy for developers: API

© 2016 OpenPOWER Foundation 4

With CAPI Developer Kit

(for computer engineers)

With CAPI SNAP Framework

(for programmers)

One function call:

Source

Action

Destination

capi_addr

address

size type flags

capi_addr

address

size type flags

Job:

action/kernel

Return_code

Make CAPI easy for developers: Accelerator Code

© 2016 OpenPOWER Foundation 5

/*Command Interface*/

AXH_CVALID

AXH_CTAG(0:7)

AXH_COM(0:12)

AXH_CEA(0:63)

AXH_CSIZE(0:11)

HAX_CROOM(0:7)

b”1”

x”20”

x”0D70”x”0000000000FB0810”

x”010”

x”40”

/* Command Interface*/

20 21 221F

0D70

010

0A60

0000000000FB0810 0000000000FB0A80 0000000000FB0F6000000000B

080

40

With CAPI Developer Kit

(for computer engineers)

With CAPI SNAP Framework

(for programmers)

Key Dates and Actions

• November – December: Early Partner initial testing

• January, 2017: Framework available via release to github• Initial card for 2TB flash and off-load engines

• For more information and to apply for Early Partner testing:• Email: capi@us.ibm.com

© 2016 OpenPOWER Foundation 6

© 2016 OpenPOWER Foundation

The 2016 OpenPOWER Developer Challenge

The OpenPOWER Foundation challenged Developers

to port, optimize, scale or create new HPC & Big Data

& Analytics applications on POWER + HW accelerators.

Three competitions include

+ Open Road Test

+ Accelerated Spark Rally

+ Cognitive Cup

© 2016 OpenPOWER Foundation

Antonio Carlos Furtado

University of Alberta

Predicting the frequency

of emergency events to

reduce costs and save

lives

Accelerated Spark Rally

Emergency prediction

on Spark

Grand Prize Winners

Andrei Yurkevich

(Team Lead)

Altoros Labs

Scaling Deep Learning

for automated cancer

detection

Cognitive Cup (Tie for 1st)

Distributed TensorFlow

for cancer detection

Zaid Al-ars

(Team Lead)

Delft University of

Technology

Scaling PairHMM up

and out to advance

NGS

Open Road Test

Scaling up & out a

bioinformatics algorithm

Praveen Sridhar

(Team Lead)

Deep Learning to classify,

order, and sort paintings by

genre

Cognitive Cup (Tie for 1st)

artNet genre classifier