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Future research directions in EDA: Dr. Prith Banerjee @ VLSID 2010

January 6, 2010

Dr. Prith Banerjee, senior VP of research at HP and director of HP Labs.

Dr. Prith Banerjee, senior VP of research at HP/director, HP Labs.

Dr. Prith Banerjee, senior VP of research at HP and director of HP Labs, discussed some promising areas for research while delivering his keynote on future research directions in EDA at the ongoing VLSID 2010.

He highlighted eight areas that HP Labs is currently working on. These are:

— Digital commercial print
— Content transformation
— Immersive interaction
— Information management
— Analytics
— Cloud
— Intelligent infrastructure
— Sustainability

EDA challenges
So, what are the EDA challenges? According to Dr. Banerjee:
* Today, EDA develops automated tools for designing ICs. However, there is a need to address automation for electronic systems at higher levels.
* There is a proliferation of new modes for communication and collaboration has resulted in the explosion of digital information.
* An intelligent IT infrastructure, which can deliver extremely high performance, adaptability and security — will be the backbone of these developments.
* In future, you need to look at design automation for entire systems.
— networks and data centers
— electronics and photonics
— performance and sustainability

Growth of new modes of communication and collaboration has led to an explosion of digital information. The IT industry would need to develop novel ways to acquire, store, process, and deliver information to customers. An intelligent IT infrastructure, which can deliver extremely high performance, adaptability and security, will be the backbone of these developments.

Intelligent infrastructure
This is required to capture more value via dramatic computing performance and cost improvement. HP Labs’ contribution has been on three big bet projects, namely, next generation data centers, networking and next generation scalable storage. HP Labs’ research contribution has been:

* Exascale
An Exascale data center that will provide 1000X performance while enhancing availability, manageability and reliability and reducing the power and cooling costs. HP Labs is working on the design of a sustainable data center that reduces total cost of operation (TCO) and carbon footprint, while meeting the current quality of service goals.

— Designed across components, interconnects, power and cooling, virtualization, management and software delivery.

* Photonics
— Replace copper with light to transmit data

* 1000X gain in performance

Dr. Banerjee  said that there is a need to create brand new optical technologies that can work in exascale. Photonics interconnects make use of light for data communications. The transmit or receive optical bus is a simple modular system in four elements — transmitter media, optical tap, optical source, and optical receiver.

Non volatile memory and storage
is another area that HP Labs is working on. Dr. Banerjee highlighted the memristor or a resistor with memory. In future, it has the potential to replace DRAM, hard drives and Flash memory.

“The memristor has the potential to revolutionize electronics,” he added. It is structurally simple and easy to fabricate. Also, it switches in nanoseconds and has many year lifetimes. HP Labs is said to be in discussions with leading memory makers for further.developing and licensing this technology.

Next-generation displays
is yet another key research area at HP Labs. These are said to be unbreakable, conformable, ultra-thin and lightweight displays. Such displays have paper like qualities + video capabilities.

Technologies such as memristors, photonic interconnects, and sensors  will likely revolutionize the way data is collected, stored and transmitted.

Sustainable data centers is another key research area. Among HP Labs’ research contribution, it is aiming to reduce TCO by 50 percent and carbon footprint by 75 percent.

Highlighting another industry challenge, Dr. Banerjee pointed out that the IT industry is only responsible for 2 percent of total carbon emissions. The global economny contributes the remaining 98 percent of total carbon emissions from other industries such as aviation, transportation, retail, etc. IT has a significant role to play here.

Naturally, all of the research areas would require sophisticated system-level design automation tools. Dr. Banerjee said: “In the past, the EDA research focused on chips. In the future, we need to look at entire systems.”

  1. Dale B. Ritter, B.A.
    January 8, 2010 at 12:48 am

    Dr. Prith Banerjee’s keynote on future EDA research directions rings true in challenging the basic issue of higher levels of whole circuit and system automatic IC design infotools. That, coupled with essential factors like the extremely high computing performance and operational budget constraint, will depend on MEMRISTOR or comparable innovations.

    These questions will come down to the atomic topological function applied to modeling circuit elements, where the exactness and reproducibility of 3D simulation analyses provide management with the project quality performance figures. Research progress relies on the data density of the IC model for electrons, waves, single photons, and energy or force fields topologies.

    Recent advancements in quantum science have produced that ideal, exact, picoyoctometric, 3D, interactive video atomic model imaging function, in terms of chronons and spacons for quantized, relativistic animation. This format returns clear numerical data for a full spectrum of variables. The atom’s RQT (relative quantum topological) data point imaging function is built by combination of the relativistic Einstein-Lorenz transform functions for time, mass, and energy with the workon quantized electromagnetic wave equations for frequency and wavelength.

    The atom labeled psi (Z) pulsates at the frequency {Nhu=e/h} by cycles of {e=m(c^2)} transformation of nuclear surface mass to forcons with joule values, followed by nuclear force absorption. This radiation process is limited only by spacetime boundaries of {Gravity-Time}, where gravity is the force binding space to psi, forming the GT integral atomic wavefunction. The expression is defined as the series expansion differential of nuclear output rates with quantum symmetry numbers assigned along the progression to give topology to the solutions.

    Next, the correlation function for the manifold of internal heat capacity energy particle 3D functions is extracted by rearranging the total internal momentum function to the photon gain rule and integrating it for GT limits. This produces a series of 26 topological waveparticle functions of the five classes; {+Positron, Workon, Thermon, -Electromagneton, Magnemedon}, each the 3D data image of a type of energy intermedon of the 5/2 kT J internal energy cloud, accounting for all of them.

    Those 26 energy data values intersect the sizes of the fundamental physical constants: h, h-bar, delta, nuclear magneton, beta magneton, k (series). They quantize atomic dynamics by acting as fulcrum particles. The result is the exact picoyoctometric, 3D, interactive video atomic model data point imaging function, responsive to keyboard input of virtual photon gain events by relativistic, quantized shifts of electron, force, and energy field states and positions. This system also gives a new equation for the magnetic flux variable B, which appears as a waveparticle of changeable frequency.

    Images of the h-bar magnetic energy waveparticle of ~175 picoyoctometers are available online at Symmecondotcom with the complete RQT atomic modeling manual titled The Crystalon Door, copyright TXu1-266-788. TCD conforms to the unopposed motion of disclosure in U.S. District (NM) Court of 04/02/2001 titled The Solution to the Equation of Schrodinger.

  2. Pradeep Chakraborty
    January 8, 2010 at 5:02 am

    Thanks for your comments, Dale. Happy New Year. 🙂

  3. Hillol Sarkar
    December 31, 2010 at 11:00 am

    Eniac road map showing transition from RF to Bio Fluidics. 260,000 people in USA die due to Congestive Heart Failure per year. It is costing $23B. Computing power is not the key issue.

    Europe has a better roadmap.

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