“Experiences with the adoption of disruptive technologies”

Craig Mudge PhD 1973

Founder and CEO of Austek Microsystems Ltd.Computer Science Lab Director, Xerox PARC

Research Fellow,CSIRO, Australia’s national science agency

Grace Hopper

Outline

1.Early adopters

2.Three cases of disruptive technologies1. Cache memories2. End-user chip design and the WiFi patent

3. Data-driven modelling

Crossing the chasm

Everett Rogers: Technology Diffusion Geoffrey Moore: Crossing the chasm

Enthusiasts/visionaries

Cache memories

Cache memories

Caches work because programs exhibit memory localityspatial localityandtemporal locality

in their references to memory.

processor cache

Primary memory

Cache parameters: size, associativity, block size, replacement algorithm, and write strategy.

size associativity

PDP-11/70 2Kbytes Multiple S-TTL chips Set size 2

PDP-11/60 2Kbytes Multiple S-TTL chips Direct mapped

VAX-11/780 8Kbytes

Austek A38502 32Kbytes Single-chip controller;Multiple data chips

4-way set associative

Austek Level 2 128Kbytes Single-chip controller;Multiple data chips

Data centre Intel Haswell -E

20 MbytesLevel 3

32-way

IBM Z13 uP chip 64 Mbytes Level 3

Simulating cache parameters and miss ratio

(Strecker, 1976)

(Sites, 2015)

End-user chip design

Mead Conway Chip design

AUSMPC 5/82

Correlator chip

FFT Chip

WLAN patent

FFT ChipFast Fourier Transform

Applications: audio processing,video processing, medical imaging, wireless communication, radio astronomy

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AUSMPC5/82 test Correlator

WLAN innovation story …contdHigh-speed wireless communication: -

reflections multi-path

solution:- send with different frequencies and recombine at the receiver -- requires many FFTs

1991 PLANS workshop – high speed untethered, mobile local networks

1992 – 1996 Patent then part of 802.11 international standard

2009 Prime Minister’s Prize for Science

2012 European Inventor Award

2009 Licensing revenues began

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Data-driven modelling

Data vs algorithms

1. Machine translation of language

2. Driverless vehicle1. 2005 ARPA Grand Challenge 7 miles, 7 hours

2. 2011 hundreds of thousands of miles

“We don’t have better algorithms, we just have more data”-- Peter Norvig, Google

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Google-style computing

Google, Dalles Oregon Microsoft Azure, Chicago

50,000 computers in each warehouse-sized data centreSpread across the globe, linked by the InternetServices (compute and storage offered over the Web

Statistical modelling of Power Usage Efficiency (PUE) in massive data centres

(Gao, 2013)

Copyright © 2009 Rio Tinto

Global miner

Conclusion

Three cases of disruptive technologies1. Cache memories2. End-user chip design and the WiFi patent

3. Data-driven modelling

Thank you

mudge@pacific-challenge.com

craig.mudge@csiro.au

+61 417 679 266

www.pacific-challenge.com

www.cloudinnovation.com.au

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Background: three of my fun projects

1. VAX minicomputer 1975

3. Internet phone

(VoIP 1995)

Austek

Microsystems

DEC

2. Bionic ear

1985

XEROX PARC