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Emerging Solutions Laura Stark Senior Vice President and General Manager

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Page 1: Emerging Solutionss22.q4cdn.com/909968316/files/doc_presentations/2015/Analyst_Da… · major issues facing data centers in the age of Big Data. The SDA Research Program has been

Emerging Solutions Laura Stark

Senior Vice President and General Manager

Page 2: Emerging Solutionss22.q4cdn.com/909968316/files/doc_presentations/2015/Analyst_Da… · major issues facing data centers in the age of Big Data. The SDA Research Program has been

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Moving the world’s data from memory through interfaces

Memory

& Interfaces

Reinventing embedded security from silicon to cloud

Cryptography

Research

Reimagining computing from sensor to cloud

Emerging

Solutions

What is ESD?

Foundational R&D Invention and harvesting

Methods and architecture Incubation from concept to market

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0

500

1000

1500

2000

2500

3000

3500

1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015

Sum of Granted

Sum of Pending

Invention Happens Here…

Source: Rambus

Large worldwide portfolio with >2400 active patents and applications

YTD

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Rambus Portfolio is Widely Cited

Source: Innography (Aug-2015)

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In Technologies that …

Source: Innography (Aug-2015)

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Key Programs

Next-Gen Memory Computational Sensing

New technologies and

architectures to improve memory performance and

bring compute closer to memory

New smart sensors that

enable low cost, low power light weight

sensing everywhere

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Challenges Facing the Industry

Limits of DRAM scaling

Number of CPU cores scaling faster than

memory can support

Low CPU Utilization Big Data Analytics

Cost per bit of DRAM no longer scaling with

process

Massive and growing data sets are straining

data center architecture

90nm

0.25um

0.18um

0.13um 65nm 45nm

0.35um

1990 1995 2000 2005

Gate Oxide

Thickness (nm)

10

1

The end of traditional scaling

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• Continued development of DDR5+ concepts

• Development of Gen n+2 ideas for buffer chips

• Key contributions to IP portfolio for future licensing

Advanced Development for Future Memory

Processing

Memory

Storage

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• Faster than flash; lower cost and more reliable than DRAM

• Addresses slow-down in DRAM cost reduction

• Alternative bit-cell technology to improve memory endurance and power efficiency

• Rambus crosspoint ReRAM IP and technology

Emerging Storage Class Memory

Processing

Memory

Storage

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• Exploring alternatives to accelerate the delivery and computation of data

System architectures

Application and Platform Software

FPGA acceleration

• Compatible with existing data center hardware and software infrastructure

New Memory Architecture: Smart Data Acceleration

Processing

Memory

Storage

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Rambus Reveals Smart Data Acceleration Research Program

Advanced development platform slated to improve performance and power efficiency for data centers

SUNNYVALE, Calif. – September 14, 2015 – Rambus Inc. (NASDAQ:RMBS) today announced the Smart Data Acceleration (SDA) Research Program designed to tackle major issues facing data centers in the age of Big Data. The SDA Research Program has been exploring new architectures for servers and data centers that are optimized for rack-level Big Data computation, targeting significant improvements in performance and power efficiency, as the industry brings computing closer to data. “Modern servers are out of balance with today’s needs – data centers are under stress due to escalating demands of real-time access to large amounts of information driven by Big Data and new applications,” said Laura Stark, senior vice president and general manager of the Emerging Solutions division at Rambus. “This research platform focuses on architectures that offload computing closer to very large data sets at multiple points in the memory and storage hierarchy.” As part of the program, Rambus has created a platform to investigate system architectures that include software, firmware, FPGAs and large amounts of memory. The platform can be used to test new methods to optimize and accelerate data analytics for extremely large data sets.

With use cases including real-time risk analytics, ad serving, neural imaging, transcoding and genome mapping, the Rambus SDA Research program is a key technology investment for the next generation of data centers.

NEWS RELEASE

Smart Data Acceleration Research Program

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The Key Building Block of the SDA Research Program

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Focus Areas for Improving System Performance P

erfo

rman

ce

DRAM vs. SSD • Lower latency under load improves

application performance; benefits increase as workload demands rise

Minimizing Data Movement • High memory capacity reduces the time

and power spent moving data back and forth across networks

System with SSD

System with SDA

Compute Offload and Acceleration • FPGAs enable parallel offloading and

acceleration of compute tasks next to the memory storing the data

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Lensless Smart Sensor

0.055mm ~1.5mm

Commercial Sensor Lens LSS Spiral Grating

Top view

Cross-section view

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“Rambus on-chip camera will lead to finer gesture recognition”

- CNET

“Tiny sensors such as these are going to be used in always-on, always-connected smart devices that are going to improve every part of our daily lives”

- Tom’s Hardware

“An itty-bitty camera could bring sight to the Internet of Things”

- MIT Technology Review

“A microscopic lens-free image sensor could turn anything into a camera”

- Gizmodo

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Partners in Open Development

• Partnering with the industry to accelerate and amplify discovery of applications for our technology

• Collaboration with partners to develop MVP (minimal viable product) prototypes

POD Program

Universities

frog IXDS

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• Hardware development kits featuring LSS test chip built on open-source hardware and software

• Raspberry PI platform

• POD kits include:

Maker boards with grating/sensor, program brief & instructions, apps + firmware, SDK, imaging toolkit, tutorials and documentation

POD Development Kits

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POD in Action

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• Image change detection

• Point tracking

• Range finding

• Sophisticated gesture recognition

• Object recognition

• Image capture

• Video streaming

Breadth of Capabilities

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• From inventing to prototyping to incubating, ESD is growing our technology foundation

• Growth in Big Data and the number of connected devices is creating difficult challenges and tremendous opportunities

New memory types and architectures addressing the performance and capacity gaps in memory hierarchy

Fundamentally new approach to capture data for ubiquitous sensing

• Collaborative engagement models open new doors for technology creation and adoption

Supporting Growth through Emerging Solutions