Innovating far into the future Reinventing computing for a data-driven world Innovation is our legacy and our future
2014 DNS Logging Trafodion 2011 Location Aware HP Labs 2002 MagCloud 2015 Rewritable DVD 1966 2005 for standard Light-Emitting Diode (LED) Virus Throttle Distributed R 1986 players 2012 1967 3D graphics 2011 2001 1966 Cesium-beam atomic clock workstations StoreOnce 1994 Utility Data OpenFlow 1972 1984 1989 64-bit Center Pocket Scientific Inkjet Printer Digital Data architecture 2010 switches Calculator Storage Drive ePrint
1980 1999 2011 2014 64-channel Molecular 3D Photon 1975 2003 3D Printing Technology Ultrasound Logic Gate Engine 2013 Standard for Smart Cooling Interface Bus 1986 Threat Central Commercialized 2008 2012 2013 1968 1980 StoreAll SureStart Office Laser RISC chips Memristor Programmable Printer 2013 Desktop Calculator discovered HP Moonshot Innovation is our legacy and our future
2014 DNS Logging Trafodion 2011 Location Aware HP Labs 2002 MagCloud 2015 Rewritable DVD 1966 2005 for standard Light-Emitting Diode (LED) Virus Throttle Distributed R 1986 players 2012 1967 3D graphics 2011 2001 Cesium-beam atomic clock workstations StoreOnce 1994 Utility Data OpenFlow 1972 1984 1989 64-bit Center Pocket Scientific Inkjet Printer Digital Data architecture 2010 switches Calculator Storage Drive ePrint
1980 1999 2011 2014 64-channel Molecular 3D Photon 1975 2003 3D Printing Technology Ultrasound Logic Gate Engine 2013 Standard for Smart Cooling Interface Bus 1986 Threat Central Commercialized 2008 2012 2013 1968 1980 StoreAll SureStart Office Laser RISC chips Memristor Programmable Printer 2013 Desktop Calculator discovered HP Moonshot Our mission
Invent breakthrough technologies
Deliver opportunities for our businesses
Delivering innovations Advance the innovation ecosystem that transform business, life, and society Engage with customers and partners Innovation horizons
EVOLUTIONARY REVOLUTIONARY
Business Units Hewlett Packard Labs
Near future innovation Advanced Development Applied Research Exploratory Research Up to 2 years 2 5 years 5 20+ years
YEARS 1 2 3 4 5 6 10 20 Our world is changing, and our demands are changing
Where are we?
The data explosion Our world is increasingly Potential matched only by insecure, unmanageable our demand for computing and our natural resources getting bigger and risky resources Magnitude of the data Velocity of data Unable to secure Time-consuming data integration Real-time insight needed Insufficient resources The end of cheap hardware TIME
7 The end of cheap hardware – Compute is not keeping up
Data (Zettabytes) 50 107 Transistors 44 (thousands) 45 2020 106 40 Data nearly doubles 5 10 Single-thread 35 every 2 years Performance (2013-2020) 104 (SpecINT) 30 Frequency 25 103 (MHz) 20 Typical Power 102 (Watts) 15 Number of 7.9 101 Cores 10 4.4 5 0.81.21.8 100 0.3 0 2013 2009 1975 1980 1985 1990 1995 2000 2005 2010 2015 2005 2010 2015 2020 2025 Years
8 The Machine
Powerful Open Trusted Simple A quantum leap in performance, An open architecture Always safe, Structurally simple, beyond what you can imagine designed to foster a vibrant always recoverable manageable and automatic, innovation ecosystem so that “it just works” All the benefits without asking for sacrifice
9 The Past 60 Years
how computers are built
1950s 1960s 1970s 1980s 1990s 2000s Today
10 I/O
Copper
11 Memory
SoC Memory
ProcessorMemory-Centric SoC Memory-Driven SoC Memory + Computing Computing Fabric
SoC Memory
12
Making memory hierarchy obsolete
Today The Machine Constant balance between cost and performance Enabling massive data sets Faster More cost per bit
On-chip On-chip cache SRAM cache SRAM
Massive Main memory Faster UniversalMain memory memory Memory Pool DRAM DRAM
Capacity Mass storage Mass storage Flash Flash Hard disk Hard disk Capacity
14 Customize the hardware to the workload
Reduced cost Special Less energy Purpose Less space Cores Less complex Integrated into a single package
15 Speed is Relative – Imagine if a computer ran at human speed
Processor SRAM DRAM Flash Hard Drive Tape 1 Nanosecond 5 Nanoseconds 100 Nanoseconds 200,000 10,000,000 40,000,000,000 Nanoseconds Nanoseconds Nanoseconds
Human Human Human Human Human Human 1 Foot 5 Feet 100 Feet 200,000 Feet 10,000,000 Feet 40,000,000,000 Feet
A ruler About 3 steps
About 10 times around your desk The distance from the Venetian, The distance from Las Vegas to the Hoover Dam Los Angeles, CA to 304 times around the earth New Orleans, LA
16 Hardware + Software stack
Analytics and Value visualization
Exabyte-scale algorithms
Million-node Security built-in management from silicon upwards Machine OS >_
Ultra-efficient hardware Data
17 We should be able to leverage all of our data
Traditional Big Data
enterprise data Accuracy and insight Accuracy Dark data
CRM ERP Data warehouse Web Social Log files Machine data Semi-structured Unstructured Data volumes Deep Machine Learning
19 Cog Ex Machina
20 Performance demonstration similarity search – From offline to decision time
1200 Use cases: Content-based image/video Millions of images retrieval Searches per minute Near-duplicate web page detection Similar document retrieval Outlier detection for e-commerce fraud mitigation Fingerprint matching Scalable object recognition 80 80 4 0.3 30 Nearest-neighbor classification Disk-based In-memory Simulated Machine
21 Distributed Mesh Compute
Translator Replicator Coordinator Anonymizer Orchestrator Border guard Arbitrator Learning engine Aggregator
22 Compute Example HPE solution
The Edge Stage 0 Stage 1 Stage 2 Stage 3 Stage 4
Data is sensed Data Acquired & Early Analytics & Deep Analytics & Generate Data Aggregated Compute Compute People Motors Machines Devices Gadgets Cars Etc.
Data Flow:
Control Flow:
Opportunity move out of the data center, accelerate insight for the customer, bring compute to the edge!
23 Trusted
Recover Recovery at the OS, application, and data Systematic recovery at scale Always safe, always recoverable, firmware layer recovery with minimal human intervention without sacrificing performance
Protect The first computer with security Secure boot and Run time Access control Low energy built-in from the ground up firmware monitoring encryption Data always encrypted: in use, in flight and at rest
Detect Compromised Firmware and Runtime malware Monitoring for Giving The Machine the ability to components kernel tampering monitoring data leakage protect itself, even against completely unknown threats
24 Machine Learning that can keep up with the now Training up-to-date deep neural networks in minutes, not weeks
Contextual ads
Relevant content
Keeping up with every click, every meme
Suggested topics
25 Graph analytics time machine Massive memory and fast fabrics to ingest all data
new behaviors in my
Critical node External users
Remote users Fast graph databases and the ability to look at things that change over time
26 Complex models converge in minutes not days
Capacity to store intermediate results of simulation models allows The Machine to simply look up results, instead of recalculating 0 1 n yn ne
n1 n n Innovation is cultural
Foster a culture Unite around a set of Accept risk both Invest in ideas and hard of innovation strategic choices successes and failures work to bring them to life Hewlett Packard Labs driving innovation to market
COMMERCIALIZED VIA:
Technology Transfer
Research Areas Supply Chain Systems Research Advanced Innovations Licensing Networking and Mobility across portfolio: development with technology components, Hewlett Packard Security and Manageability Enterprise Services systems, and solutions Enterprise businesses Analytics Mechanisms and Design HPE on HPE
Open Source
Incubations and Spinouts
29 We know technology can make a difference in the world,