“Experiences with the adoption of disruptive technologies Craig … · 2015-06-09 ·...
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“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
Transcript of “Experiences with the adoption of disruptive technologies Craig … · 2015-06-09 ·...
“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
+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
