Paul Kocher, the Chief Scientist of Rambus’ Cryptography Research Division, will deliver a keynote presentation at DesignCon 2016 on Thursday, January 21 in Santa Clara, California. Additional keynote speakers include Al Eisaian, CEO, IntelinAir, Inc., and Pat Byrne, President, Tektronix.
Rambus Chief Scientist Paul Kocher to deliver keynote @ DesignCon 2016
Dr. David G. Stork elected Life Fellow by the Optical Society of America
Rambus Fellow Dr. David G. Stork was recently elected “Life Fellow” by the Optical Society of America (OSA). OSA Fellows are selected based on their overall impact on optics, as gauged through factors such as specific scientific, engineering, and technological contributions, a record of significant publications or patents related to optics, technical leadership in the field, and service to OSA and the global optics community.
A closer look at Rambus’ SDA research platform
Rambus’ Smart Data Acceleration (SDA) research platform focuses on architectures designed to offload computing closer to very large data sets at multiple points in the memory and storage hierarchy. Potential use case scenarios include real-time risk analytics, ad serving, neural imaging, transcoding and genome mapping.
Rambus partners with Los Alamos National Laboratory on smart data acceleration
The Los Alamos National Laboratory (LANL) is currently evaluating various aspects of Rambus’ Smart Data Acceleration (SDA) Research Program. Deployed at LANL, the SDA platform is designed to optimize the performance of in-memory databases, graph analytics and other Big Data applications.
Rambus Smart Data Acceleration Whitepaper
As an industry, if real progress is to be made towards the level of computing that the future mandates, then the way computing problems are attacked must change. The von Neumann execution model has and will continue to serve us well, but additional techniques must be brought to bear.
The next logical focus area is data—how it is accessed, and how it is transformed into real information—that leads to newer solutions. No longer can all of memory simply continue to be an element that holds the program commands and data during execution. Memory must become an active part of the solution, rather than a necessary evil.
The first step in what is likely to be a protracted journey is to provide a vehicle that allows it to be exploited independently of the CPU. Rambus is doing just that through the creation of their Smart Data Acceleration (SDA) Research Program.
Rambus Advances its Smart Data Acceleration Research Program by Partnering with Los Alamos National Laboratory
SUNNYVALE, Calif. – November 17, 2015 – Rambus Inc. (NASDAQ: RMBS) today announced that it has partnered with Los Alamos National Laboratory (LANL) for evaluating elements of its Smart Data Acceleration (SDA) Research Program. The SDA platform has been deployed at LANL to improve the performance of in-memory databases, graph analytics and other Big Data applications.
“With the advent of new tiers of the memory hierarchy coupled with high-speed modern networks that are being made available to the HPC community, independent scaling of memory resources in different tiers may be possible, which will help economically match the needs of future applications and workflows of extreme high-end HPC,” said Gary Grider, leader of the High Performance Computing Division, Los Alamos National Laboratory. “Our initial tests of the Rambus SDA platform show that its performance is well-matched to HPC interconnects, and given the ability to process information close to memory, it can enable the reduction of data movement through efficient workflows. The SDA Research platform allows for large scale simulation by combining independently scalable, high-performance, high-durability, large capacity and processing near memory.”
Addressing major issues facing servers and data centers in the age of Big Data, the SDA Research Program targets significant improvements in the acceleration and offload of computation as the industry explores new paradigms such as near data processing. In addition to compute offload and acceleration with flexible processing engines to enhance system performance, key focus areas include minimizing data movement and leveraging the improved bandwidth, and reducing latency of DRAM and other memory technologies.
“LANL is an ideal partner for our SDA Research Program as we collaborate with experts to validate our approach and overall direction,” said Laura Stark, senior vice president and general manager of the Emerging Solutions division at Rambus. “Our goal is to provide significant improvements in the performance of data-intensive applications through optimization of both software and hardware for compute acceleration and offload.”
The Rambus SDA Research Program provides a platform to investigate near data processing 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 analytics for large data sets, including in-memory data bases, financial services, ad serving, real-time risk analytics, imaging, transcoding and genome mapping among other applications.
More details about the Rambus SDA Research program can be found at rambus.com/sda.
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About Emerging Solutions Division
Inspired by the innovative thinking at the heart of Rambus Labs, the Emerging Solutions division at Rambus works to translate extraordinary theory into everyday practice, imagining exciting new ways to interpret and reimagine the world of data around us.
About Rambus Inc.
Rambus creates cutting-edge semiconductor and IP products, spanning memory and interfaces to security, smart sensors and lighting. Our chips, customizable IP cores, architecture licenses, tools, services, training and innovations improve the competitive advantage of our customers. We collaborate with the industry, partnering with leading ASIC and SoC designers, foundries, IP developers, EDA companies and validation labs. Our products are integrated into tens of billions of devices and systems, powering and securing diverse applications, including Big Data, Internet of Things (IoT), mobile, consumer and media platforms. At Rambus, we are makers of better. For more information, visit rambus.com.
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