Nvidia
Texas Advanced Computing Center
HPCwire

Since 1986 - Covering the Fastest Computers
in the World and the People Who Run Them

Language Flags

Visit additional Tabor Communication Publications

Datanami
Digital Manufacturing Report
HPC in the Cloud
Green Computing Report

Tabor Communications
Corporate Video

Integrated Photonics Coming of Age


Thanks to Moore's Law and advances in silicon photonic fabrication, over the past 10 years more and more photonic components are being integrated onto chips. Such integration will present an opportunity for hardware engineers to reconsider basic computer designs.

That topic is the theme of a Disruptive Technology session at SC11 on Thursday, conducted by Keren Bergman of Columbia University and Nadya Bliss of MIT Lincoln Laboratory. In conjunction with photonic research at their respective organizations, Bergen and Bliss are working on the DARPA POEM Program (Photonically Optimized Embedded Microprocessor) led by Dr. Jagdeep Shah.

MIT Lincoln Laboratory's role in the effort is to consider potential impact of silicon photonics on both applications and architectures. They are considering this problem both top down (i.e., what are the key application drivers that would benefit from or need performance advantage that photonic interconnects could provide) and bottom up (i.e., what possible architectural changes can be motivated by availability of photonic interconnects both on-chip and to memory).

At Columbia they have been developing an extensive suite of design tools for creating optically interconnected networks-on-chip that are physical layer accurate. This is the basis for their architectural design exploration and validation that the photonic technologies will function as intended.

Prior to their SC11 session, HPCwire asked Bergen and Bliss to discuss the technology issues surrounding integrated photonics and how it could impact computer systems, including HPC machines.

HPCwire: Where are photonic technologies deployed today and what are the main impacts it has had on computing to date?

Keren Bergman: Optical interconnects have historically been used in the longer distance connectivity of HPC systems to storage area networks. With increased bandwidth requirements optical links have been used for inter-rack cluster communications significantly reducing cabling congestion.

Current HPC systems with vastly increased parallelism have accelerated the need for communications bandwidth and driven optical interconnects further into backplane, even placing photonic technologies within the router package in the most advanced systems. Active cables have come into widespread use between racks. At modern 5 to 10 gigabits per second data rates, electrical cables don’t have adequate reach for this application in an HPC, and are far too bulky.

HPCwire: What is the current status of on-chip silicon photonics technology? What are some of the different approaches being explored?

Bergman: There has been significant progress in creating the key silicon photonics device components, however large scale monolithic integration with electrical circuitry in CMOS compatible processes remains a major challenge. Several schemes are currently under development for the integration of silicon photonic components with microelectronic components -- both the transmitter and receiver circuits, and the microprocessor or memory components that will utilize the optical links.

The major approaches explored include front-end of CMOS line (FEOL) integration for building modulator and photodetector photonic circuitry and low-temperature processing where optical devices can be monolithically integrated with the metallization levels of the chip as a back-end of line (BEOL) fabrication step. The first use of silicon photonics utilizing some of these approaches appears to be in a module-based technology for the active optical cable market.

VCSEL-based optical modules are perhaps the most widely used technology today. Recent efforts have focused on approaches of directly integrating VCSELs onto the chip package.

HPCwire: How much better is on-chip silicon photonics compared to today's copper interconnects?

Bergman: On-chip silicon photonic is a potentially disruptive communications platform for building high performance computing systems. Immense bandwidth densities are enabled by the low-loss single mode silicon photonic interconnect which can propagate numerous high bitrate -- 40 to 100 gigabit per second -- signals in dense WDM, corresponding to terabits per second in a single waveguide.

Furthermore, unlike electronic routing circuitry which requires individual switching elements for each data channel, a single broadband photonic switching element can route multiple high-bandwidth optical channels for the equivalent power of switching a single channel. The optical interconnect can therefore enable extremely high-bandwidth, low-latency end-to-end data transmission from on-chip to off-chip and potentially across the system without the need for power consuming repeaters, buffers, and regenerators.

Combining the power advantage with the bandwidth advantage could yield approximately an order of magnitude communication performance improvement over today's interconnects -- say 10 to 20x better.

HPCwire: How do you see on-chip silicon photonics changing processor, memory, and motherboard designs?

Nadya Bliss: This is exactly the right question to ask. While alone the bandwidth and energy efficiency improvements are significant, the true power of integrated silicon photonics can be demonstrated by considering new architectures and instruction sets. The physical and performance characteristics of silicon photonics enable consideration of new network architectures, new memory hierarchies such as flatter, fewer levels of cache, and pushing parallelism into the hardware.

All of the current computer architecture trends point to multicore systems, with increasing number of cores on chip. Photonic interconnects have the potential to both balance the compute capability of emerging multicore and simplify the programming model by enabling balanced communication.

Realizing these potential benefits in future commercial systems will require significant advancements in high density, low cost optical packaging technology that can meet the reliability challenges.

HPCwire: What will be the impact on system software: the operating system, compilers, communication libraries, etc.?

Bliss: While any new technology has the potential to require new compilers, libraries, etc, the current multicore platforms and the on-chip and to-memory communication challenges are requiring a re-evaluation of programming models. New programming models are emerging that improve programmability, reducing the burden on the programmer, while also allowing the users to increase parallel efficiency of computation. Better communication/computation balance and pushing parallelism closer to the hardware has the potential of simplifying programming models and therefore associated compilers and libraries.

HPCwire: Will applications have to change to take advantage of on-chip photonics?

Bliss: I don't think applications have to change per se, but new capabilities can be enabled, for example: more complex algorithms can be implemented in smaller form factors.

HPCwire: When do you think we can expect to see on-chip photonics makes its way into commercial silicon?

Bliss: Given the existing research efforts and pending successful demonstrations of both technologies and application capabilities, it is possible to imagine that this would happen over the next 5 to 10 years. To be honest, if it doesn't, the programmability and performance challenges will continue to get worse and we will see decreased performance scaling in the near future.

Sponsored Links

Webinar: Programming Heterogeneous X64+GPU Systems Using OpenACC
Join Michael Wolfe as he compares the advantages and costs of using both low-level models and the directive-based OpenACC model for programming accelerated heterogeneous systems. Registration is free.

Accelerate your science with Seneca
One of the first HPC providers installing a 4X NVIDIA Kepler K-20 cluster. Invites you to a free evaluation on Seneca’s NVIDIA K20 Kepler cluster, pre-loaded with AMBER, NAMD, LAMMPS

High-Performance Computing in Action
Businesses that want to be on the cutting edge of their industries are increasingly turning to high-performance computing (HPC) solutions to handle complex compute processes and speed up their rate of innovation. Download this Executive Brief to see how businesses in energy, life sciences and entertainment put HPC solutions to work in their operations.

May 24, 2013

May 23, 2013

May 22, 2013

May 21, 2013

May 20, 2013

May 17, 2013

May 16, 2013

May 15, 2013

May 14, 2013

May 13, 2013


Most Read Features

Most Read Around the Web

Most Read This Just In


Short Takes

NASA Builds 'Climate in a Box'

May 23, 2013 | The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
Read more...

Building Supercomputers with Raspberries

May 22, 2013 | At some point in the not-too-distant future, building powerful, miniature computing systems will be considered a hobby for high schoolers, just as robotics or even Lego-building are today. That could be made possible through recent advancements made with the Raspberry Pi computers.
Read more...

Running Computational Fluid Dynamics in the Cloud

May 16, 2013 | When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...

Computing the Physics of Bubbles

May 15, 2013 | Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
Read more...

Sponsored Whitepapers

Best Practices in Big Data Storage

05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.

Progress in Parallel: the Bull Parallel Programming Center

04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.

Sponsored Multimedia

SGI DMF ZeroWatt Disk Solution

In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.

Cray CS300-AC Cluster Supercomputer Air Cooling Technology Video

The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.

SC12 Editorial Feature HPCwire Soundbite sponsored by ISC Xyratex

HPC Job Bank


Featured Events


  • June 16, 2013 - June 20, 2013
    ISC'13
    Leipzig,
    Germany

  • June 17, 2013 - June 18, 2013
    Forecast 2013
    San Francisco, CA
    United States





HPCwire Events