accelchip. The synthesis engine will then balance the data paths
to ensure correct behavior.1 of AccelChip DSP Synthesis and AccelWare IP
Toolkits is now shipping.

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"Much of the algorithm development for optimum sensor array
processing takes place in the MATLAB environment," said Professor
Kevin Buckley, Signal Processing Researcher and faculty member at
Villanova University and the University of Minnesota. "Virtually every DSP design we see can take
advantage of cores to accelerate their development. In addition , direct memory mapping of
two-dimensional MATLAB arrays is now supported for target
architectures that have dual port or single port RAMs and ROMs.

integrators routines

All other trade names referenced are the service marks ,
trademarks, or registered trademarks of their respective companies.

AccelChip Inc. Extends Leadership in Algorithmic Synthesis with New IP

Typical applications for the Cholesky approach include
parameter estimation and speech coding algorithms. "By
allowing designers to create their own algorithms in MATLAB, explore
various implementations using AccelWare, and then incorporate the
blocks seamlessly into the rest of the system, this new flow
dramatically reduces our design time. All other trade names referenced are the service marks,
trademarks, or registered trademarks of their respective companies.

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AccelChip currently offers four toolkits for communications,
signal processing , building blocks, and advanced math.1 release also features new and enhanced cores that are
fundamental to the development of Software Defined Radio (SDR),
Digital Video Broadcasting, and other wireless communication
applications. Current AccelChip customers on support will
receive the new release at no additional fee.

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, the industry's only provider of automated flows
from MATLAB(R) algorithms to silicon, has added a singular value
decomposition (SVD) core generator to its AccelWare(R) Advanced Math
Toolkit. Singular value
decomposition is a highly robust algorithm that can always produce a
result, even when other matrix inversion methods fail.

These new offerings are added to AccelChip's
existing AccelWare toolkits--Building Block, Advanced Math,
Communications, and Signal Processing."

Synthesis Extends Design Space Exploration

A great asset of architectural synthesis is the ability to rapidly
generate multiple hardware implementations of a design from an
algorithm.accelchip.

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New AccelWare cores extend the company's leadership
position in cores that directly implement matrix operations for
wireless communications, signal processing, and other forward -error
correction applications.1 version of the
AccelChip DSP Synthesis tool integrates the industry -leading,
algorithmic synthesis environment based on MATLAB with Xilinx (NASDAQ:
XLNX) System Generator , the industry-leading synthesis product based
on Simulink.
The 2005. AccelChip's proven solution integrates
the domain-specific DSP design environment (MATLAB) with
industry-standard hardware design flows from Aldec, Altera, Cadence,
Mentor Graphics, Synplicity, Synopsys, The MathWorks, and Xilinx.

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"
"AccelChip Inc. Additionally, the 2005."

QR and Cholesky Matrix Factorization and Inversion

Being able to select from among multiple micro-architectures for
blocks like matrix inversion and factorization is important in
achieving an optimum solution for a specific application .

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"IP is an absolute requirement for algorithm development and
implementation in DSP," said Michael Bohm, CTO and vice president of
Engineering, AccelChip. Our DSP algorithm was already implemented in MATLAB,
and without this, we would have to handcraft black boxes in either
VHDL or Verilog for blocks not currently available with System
Generator," said Dale Kluesing, CTO of Photron Technologies . The company develops and markets design
tools, integrated verification flows, and parametric IP toolkits that
combine to automate the development and implementation of DSP
algorithms in FPGAs and ASICs.com

AccelChip, AccelWare, and AccelView are registered trademarks of
AccelChip Inc .

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Sensor array processing relies on the implementation of
linear algebra-based, high-performance algorithms . has a leadership position in IP cores that
directly implement matrix operations for sensor array processing,
wireless communications, and signal processing," said Michael Bohm,
CTO and vice president of Product Development, AccelChip Inc.

Pricing and Availability

Version 2005. For more information on AccelChip DSP Synthesis and AccelWare
IP, please email sales@accelchip.
Founded in 2000, AccelChip is located in Milpitas, California, and has
design centers in Portland, Oregon , and Carlsbad, California.

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"Thus, AccelChip
is uniquely positioned to contribute to growth in the effective
application of sensor array processing techniques.

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This release also features additional
micro-architecture configurations for the existing AccelWare FFT,
IFFT, and filters cores.

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AccelChip 's proven solutions integrate the domain-specific
DSP design environment (MATLAB) with industry-standard hardware design
flows from Aldec, Altera, Cadence, Mentor Graphics, Synplicity,
Synopsys, The MathWorks, and Xilinx. AccelChip's Web address is
www. (For further information, see "Xilinx and AccelChip
Deliver Industry's First Design Flow from MATLAB/Simulink and System
Generator to Verified FPGA System," dated March 8, 2005. Matrix factorization and inversion are
used with algorithms utilizing linear algebra techniques, for example,
adaptive filters which are used in a wide range of applications from
radar to global positioning systems. The 2005.

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, a leading provider of embedded DSP technology for
accelerating design, today announced its 2005.

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While more processing-intensive
than Cholesky factorization, this method achieves more accurate
numerical precision.

matlab computation

Using the combination of application -specific cores with
AccelChip algorithmic synthesis, our customers find they require
minimal modification to their MATLAB and obtain optimized hardware
more quickly than with alternative methods.com

About the Company

AccelChip Inc.

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Computationally intensive, sensor array processing enhances the
ability to localize sources of energy, track sources, and mitigate the
effects of noise and interference in challenging physical
environments. The specific
algorithm used in the AccelWare SVD core is designed to exploit the
highly parallel structures available in FPGA and ASIC implementations ."
The SVD core is included in the AccelWare Advanced Math Toolkit,
along with matrix factorization and inversion cores using the QR and
Cholesky decomposition techniques.

About the Company

AccelChip Inc. Founded in 2000, AccelChip is
located in Milpitas, California, and has design centers in Portland,
Oregon, and Carlsbad, California.1 Provides Direct Path to Xilinx System Generator

As the result of joint development with Xilinx, AccelChip DSP
Synthesis 2005.

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1 release expands on the number of possible
solutions by graphically enabling users to insert pipeline stages on
critical paths.

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This new core generator makes the process of implementing
sensor array processing algorithms containing SVD matrix inversion and
factorization into FPGAs and ASICs much easier and will dramatically
reduce development times.1 release of
AccelWare(R) intellectual property (IP) toolkits and AccelChip (R) DSP
Synthesis product. The new interface automatically generates a verified System
Generator IP block from a floating-point MATLAB model, supporting both
cycle-accurate Simulink simulation and RTL generation within the
System Generator environment.
AccelChip's Web address is www.

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When
combined with AccelChip DSP Synthesis, these unique toolkits have been
customer proven to save months off traditional RTL design flows for
ASIC and FPGA development, while delivering exceptional quality of
results and maintaining MATLAB as a single golden source.

hamiltonian routines

----Building upon its
recent releases of matrix inversion and factorization parameterized
cores, AccelChip Inc. Each generator is capable of creating multiple
micro-architectures and offer implementation-specific parameters to
tailor the core to market and design specific requirement. provides solutions for digital signal processing
(DSP) design that enable customers to rapidly explore the
architectural design space and implement algorithms in FPGAs and
ASICs.

Business Editors/Technology Writers
Embedded Systems Conference San Francisco 2005

SAN FRANCISCO----

-- New AccelWare IP for Linear Algebra and Integration of MATLAB-
and Simulink-based Synthesis Accelerate DSP Design --

AccelChip Inc.
Building upon its recent release of QR factorization and inversion
cores, AccelChip has added Cholesky matrix factorization and matrix
inversion to its IP products. The System Generator
Interface is a new option to AccelChip DSP Synthesis and starts at
$1000.

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AccelChip Facilitates Sensor Array Processing with New SVD Matrix Factorization DSP IP Core

New cores support BCH decoding, BCH encoding,
scrambling , and descrambling.

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The company's complete solutions include a comprehensive DSP
design infrastructure , DSP intellectual property, and technology
adoption services that invest in the transfer of knowledge to
customers.)
AccelWare DSP IP cores produce the industry's only fixed-point,
hardware implementations of matrix inversion and matrix factorization.1 now provides the industry's first MATLAB/Simulink
design flow for implementation of high performance DSP systems in
FPGAs.

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com

AccelChip and AccelWare are registered trademarks of AccelChip
Inc. Our AccelWare
toolkits include more than 50 AccelWare IP cores with over 110 unique
micro-architectures that are parameterized, reusable, and
retargetable . In contrast, Cholesky
factorization requires less processing and hardware resources than QR
because it takes advantage of the symmetry properties of the input
matrix. While traditional RTL synthesis tools have allowed area and
frequency tradeoffs, AccelChip DSP Synthesis enables system-level
tradeoffs , such as sample rate, latency, error, power, area and
frequency.

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About AccelWare DSP Core Generators Toolkits

AccelWare are DSP IP core generators that provide a direct path to
hardware implementation for complex MATLAB toolbox and built-in
functions. Typical applications for the QR approach include
adaptive recursive filtering, channel estimation and equalization,
beam-forming , and image encoding algorithms.

2005.
"The combination of AccelChip and AccelWare together with System
Generator allows us to rapidly build a prototype system that spans
multiple FPGAs .

downloading ordinary

Business Editors/High-Tech Writers

MILPITAS, Calif. "Working
closely with key customers , we have developed our advanced AccelWare
linear algebra cores to meet their design specific requirements for
fixed-point, hardware implementations of matrix inversion and
factorization. QR provides
a general factorization method for square and rectangular matrices
without any symmetry restrictions . is the industry's only provider of MATLAB-based
algorithmic synthesis solutions, including DSP intellectual property
(IP), for embedded DSP design.