The Leading Source for Global News and Information Covering the Ecosystem of High Productivity Computing
May 05, 2008
SANTA CLARA, Calif., May 5 -- Tensilica, Inc. and the U.S. Department of Energy's Lawrence Berkeley National Laboratory today announced a collaboration program to explore new design concepts for energy-efficient high-performance scientific computer systems.
The joint effort is focused on novel processor and systems architectures using large numbers of small processor cores, connected together with optimized links, and tuned to the requirements of highly-parallel applications such as climate modeling. These demanding scientific problems require 100 to 1000 times higher computation throughput than today's high-end computing installations, but conventional systems require so much electricity, generate so much heat, and require such complex physical installations that the costs would be prohibitive. This collaboration in application-directed supercomputing aims at making "exascale systems" (up to one quintillion floating point operations per second) feasible and cost-effective.
The two organizations are well-suited for such a collaboration. Tensilica is the recognized leader in configurable processor technology and has become a leading provider of energy efficient processors for mobile audio and video applications. The Berkeley Lab Computing Sciences organization manages one of the world's leading supercomputing centers and has extensive experience in deploying leading-edge computer architectures to accelerate scientific discovery.
"Our studies show that energy costs make current approaches for supercomputing unsustainable," stated Horst Simon, Associate Laboratory Director, Computing Sciences for Berkeley Lab. "Hardware-software co-design using tiny processor cores, such as those made by Tensilica, holds great promise for systems that reduce power costs and increase practical system scale. Such processors, by their nature, must deliver maximum performance while consuming minimal power -- exactly the challenge facing the high performance computing community. One of the most compute-intensive applications is modeling global climate change, a critical research application and the perfect pilot application for energy-efficient computing optimization."
"Berkeley Lab is a world leader in providing supercomputing resources to support research across a wide range of disciplines, but their experience in climate modeling is especially well-suited for this project," stated Chris Rowen, Tensilica's president and CEO. "If we can better understand the factors influencing climate change -- and do so in a dramatically more energy-efficient way -- then we open the door for other breakthroughs. We are delighted to be able to contribute to this effort, applying Tensilica Xtensa processors and software to help solve a problem of global significance. The same ultra-efficient processor technology that powers cellular phones can now contribute to a breakthrough in energy-efficient scientific computing."
The team will use Tensilica's Xtensa LX extensible processor cores as the basic building blocks in a massively parallel system design. Each processor will dissipate a few hundred milliwatts of power, yet deliver billions of floating point operations per second and be programmable using standard programming languages and tools. This equates to an order-of-magnitude improvement in floating point operations per watt, compared to conventional desktop and server processor chips. The small size and low power of these processors allows tight integration at the chip, board and rack level and scaling to millions of processors within a power budget of a few megawatts.
The co-design effort will use automatic generation of processor designs, including simulation models, FPGA-based hardware implementation, and software tools to enable rapid prototyping and evaluation of processor instructions sets, interfaces, multi-processor communications mechanisms, and application enhancements.
The research effort also will address the challenges of optimizing memory and communication bandwidth to the massive array of processors, distribution of application functions across the array, and development of suitable prototyping and software development methods for large-scale application-optimized systems.
About Lawrence Berkeley National Laboratory
Lawrence Berkeley National Laboratory (Berkeley Lab) has been a leader in science and engineering research for more than 70 years, and holds the distinction of being the oldest of the U.S. Department of Energy's National Laboratories. The Lab manages a number of national user facilities, including the National Energy Research Scientific Computing Center (NERSC), which provides supercomputing resources to 2,900 users at national laboratories and universities. Managed by the University of California, Berkeley Lab conducts unclassified research across a wide range of scientific disciplines with key efforts in fundamental studies of the universe; quantitative biology; nanoscience; new energy systems and environmental solutions; and the use of integrated computing as a tool for discovery. For more information, go to www.lbl.gov.
About Tensilica
Tensilica, Inc. is the recognized leader in configurable processor technology and has leveraged that technology to become the leading supplier of licensable controllers and DSP cores for mobile audio and video applications. Tensilica offers the broadest line of controller, CPU, network, and specialty DSP processors on the market today -- including full software toolchain and modeling support - in both an off-the-shelf format via the Diamond Standard Series cores and with full designer configurability with the Xtensa processor family. The modern design behind all of Tensilica's processor cores provide semiconductor companies and system OEMs with the lowest power, smallest area solutions for high-volume products including mobile phones and other consumer electronics, networking and telecommunications equipment, and computer peripherals. For more information on Tensilica's patented, benchmark-proven processors, visit www.tensilica.com.
-----
Source: Tensilica, Inc.
While the Microsoft juggernaut has been touting the joys of its new Windows HPC Server 2008, the Linux HPC contingent has been somewhat less vocal of late. But now Red Hat has come up with its version of an integrated cluster solution.
Read More...
Even though the cost of servers still dominates the datacenter budget, storage is actually on a steeper growth curve. HPC storage, in particular, is being singled out as high-growth opportunity. Vendors are scrambling to keep up.
Read More...
Google datacenters most energy efficient; Cluster Resources to demo Moab Hybrid Cluster; Red Hat Linux releases HPC distro. John West recaps those stories and more in our weekly wrap-up.
Read More...
Oct 07 | GCN.com | Sun Microsystems has been busy building a lot more intelligence into Lustre, a file system used for large-scale cluster computing. Read more...
Oct 06 | The Register | Does the HP Oracle Database Machine represent InfiniBand's big chance to break out its HPC niche? Read more...
Oct 06 | BusinessWeek | A body scan can save a lot of time in the fitting room, and fields from medicine to architecture are adopting 3D computing applications. Read more...
Oct 03 | UCSD News | Despite the evolution of computer science over the past 30 years, structural engineering -- hindered by a reluctance to adapt to digital innovations -- has remained relatively unchanged as a discipline. Read more...
Oct 02 | New York Times | Silcon Valley is starting to feel the effects of the credit crunch. Read more...
Sep 04 | | Disk drives are approximately 250 times denser today than a decade ago. This is good news for users who are creating, manipulating and storing more data than ever before. It gives them an opportunity to derive more value from their stored data and lowers the capital acquisition and operating expense associated with that data.
BlueArc's Titan architecture represents an evolutionary step in file servers by creating a hardware-based file system that can scale bandwidth, IOPS, and overall data capacity well beyond conventional software-based devices. With its ability to virtualize a massive storage pool of up to four usable petabytes of tiered storage, Titan can scale with growing data requirements, offering a competitive advantage for businesses, researchers, or other enterprises seeking to better manage data growth while still ensuring optimal performance.
Get updates and insights on the High Productivity Computing industry delivered driectly to your inbox.