Search results
Results from the WOW.Com Content Network
Perhaps the best known and most widely deployed is the CEVA-TeakLite DSP family, a classic memory-based architecture, with 16-bit or 32-bit word-widths and single or dual MACs. The CEVA-X DSP family offers a combination of VLIW and SIMD architectures, with different members of the family offering dual or quad 16-bit MACs.
Hexagon is also known as QDSP6, standing for “sixth generation digital signal processor.” According to Qualcomm, the Hexagon architecture is designed to deliver performance with low power over a variety of applications. [3] [4] Each version of Hexagon has an instruction set and a micro-architecture. These two features are intimately related.
DSP systems usually have a specialized, high bandwidth memory subsystem; with no support for memory protection or virtual memory management. [2] Many digital signal processors have 3 physically separate memories and datapaths -- program storage, coefficient storage, and data storage.
The TMS320 architecture has been around for a while so a number of product variants have developed. The product codes used by Texas Instruments after the first TMS32010 processor have involved a series of processor named "TMS320Cabcd", where a is the main series, b the generation and cd is some custom number for a minor sub-variant.
The Super Harvard Architecture Single-Chip Computer (SHARC) is a high performance floating-point and fixed-point DSP from Analog Devices.SHARC is used in a variety of signal processing applications ranging from audio processing, to single-CPU guided artillery shells to 1000-CPU over-the-horizon radar processing computers.
There are many differences in the core architecture between Blackfin/MSA and XScale/ARM or SHARC, but the combination was designed to improve performance, programmability and power consumption over traditional DSP or RISC architecture designs. The Blackfin architecture encompasses various CPU models, each targeting particular applications. [4]
An increase in computational throughput can result in a decreased run-time, i.e. a speedup of a specific mD-DSP algorithm. In addition to increasing computational throughput, a generally considered equally important goal is to maximally utilize the memory bandwidth of a given computing memory architecture.
Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The digital signals processed in this manner are a sequence of numbers that represent samples of a continuous variable in a domain such as time, space ...