|
* Please e-mail marketing@srccomputers
with your contact information to obtain copies of the papers listed here*
The SRC® ATLAS™ Computer System
The ATLAS system from SRC Computers is a versatile compute system intended for use in harsh environments including both ground based and airborne applications. ATLAS can incorporate a customer selected mix of Intel Atom™ Processor Modules (APM),
the SRC MAP® reconfigurable processors and Multi-Ported Common Memories, interconnected with
the SRC high bandwidth Hi-Bar® crossbar switch. The ATLAS system is a general purpose compute solution that also offers extreme external I/O capability of up to 12 Gbytes/s per MAP processor making it ideal for use as a signal data processor.
SRC Computers' MAP Processors for Airborne Intelligence, Reconnaissance, and Surveillance Applications
This paper will present an overview of the SRC IMPLICIT+EXPLICIT™ Architecture, airborne system implementation, and
the Carte™ high-level language programming environment as well as the systems applicability to perform image and synthetic aperture radar processing. Specific airborne program examples of these two major application categories will also be presented.
SRC Computers' MAP Processors for Digital Image Processing
From unmanned vehicles to medical to remote sensing applications, the architecture of
the SRC MAP processor is well suited to high performance processing of large images from multiple sources. This paper presents several representative image processing algorithms implemented on the SRC-7 Series H MAP processor and compares their execution performance relative to a CPU.
Algorithm Optimization Case Study - SAR Backprojection
The Spotlight Synthetic Aperture Radar (SAR) Backprojection algorithm is
considered to be the “gold standard” of the SAR imaging techniques. This
paper describes a study that compared the performance of a MATLAB implementation
of a 2D SAR Backprojection application to a MATLAB – MAP implementation and to
an all C Language implementation.
Algorithm Optimization Case Study - Edge Detection
This paper will discuss the use of various standard program optimization
techniques as applied to an edge detection application written in C for
use on the SRC-7 Series H MAP processor. The SRC-7 Series H MAP can
yield more than two orders of magnitude performance improvements over a
3GHz Xeon microprocessor using Intel IPPLIB v5.1 image processing
functions. SRC MAPstation™ Image Processing: Two Dimensional Floating Point Fast Fourier Transforms
Using the complex floating point programmable FFT from SRC Computer’s image processing library, engineers have demonstrated a 2D FFT with a
O(N) transpose operation. This means that every time image resolution grows by 2x, the image processing time grows by the same amount, thus allowing efficient and very high-resolution image processing in the frequency domain vs. traditional microprocessor methods. This
O(N) transpose operation is achieved using the advanced memory architecture in
the SRC Series H MAP processor. SRC MAPstation Image Processing: Intensity Histogram
Given the importance of the histogram operation, SRC Computers recently developed a MAP histogram function specifically to support image applications. This paper will discuss this function as well as provide a detailed example of how to use the function in a MAP C program. Later papers will incorporate this simple function into real image applications and discuss realizable performance at the application level. IMPLICIT+EXPLICIT Architecture
This paper explains SRC Computers' innovative IMPLICIT+EXPLICIT Architecture, which fully integrates Dense Logic Device
(DLD) technology and reconfigurable Direct Execution Logic (DEL) with the Carte Programming Environment, delivering orders of magnitude increases in performance.
* Please e-mail marketing@srccomputers
with your contact information to obtain copies of the papers listed here*
back to top
|