What types of applications are most suitable for Impulse C?
Impulse C is designed to simplify the development of highly parallel,
processing-intensive applications, including applications that require
a mix of hardware and software processing resources, or applications
in which specific processes must be interfaced to other hardware and/or
software components to form a complete system. (you can download application
notes containing sample
implementations)
In support of these applications, Impulse C provides a streams-oriented
approach to data movement, processing and synchronization as well as advanced
compiler technologies allowing process-level parallelism to be automatically
identified and utilized. By using these automated compiler features in
conjunction with the streams-oriented programming features of Impulse
C (which allow parallelism at the system level to be easily expressed)
it's possible to create high performance applications without the need
to write low-level hardware descriptions.
Applications consisting of multiple hardware and software
processes can be easily mapped to FPGA platforms with or without embedded
processors.
Efficient application characteristics
Data rates are high to and from data sources and between processing
elements.
Data sizes are fixed (typically one byte to one word), with a relatively
small stream payload to prevent processes from becoming blocked.
Multiple related but independent computations are required to be performed
on the same data stream.
The data consist of low or fixed precision data values, typically
fixed width integers or fixed point fractional values.
There are references to local or shared memories, which may be used
for storage of data arrays, coefficients and other constants, and to
deposit results of computations.
There are multiple independent processes communicating primarily through
the data being passed, with occasional synchronization being requested
via messages.
CoDeveloper provides C to RTL design and compilation for
various FPGA platforms including Xilinx and Altera. It enables
you to create your own FPGA-based custom platform and to target
systems with external processors, including DSPs.
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