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Block diagrams of a single AsAP processor and the 6x6 AsAP 1.0 chip. AsAP uses several novel key features, of which four are: Chip multi-processor (CMP) architecture designed to achieve high performance and low power for many DSP applications. Small memories and a simple architecture in each processor to achieve high energy efficiency.
By utilizing the unique custom re-configurable architecture of a field-programmable gate array (FPGA) we can optimize this procedure dramatically by customizing the cache structure. [27] As in the illustrative example found in the presentation this description is derived from [27] we are going to restrict our discussion to two dimensional ...
For example, multiplying two M × M matrices can be processed by M × M concurrent threads on a GPGPU device without any output data dependency. Therefore, theoretically, by means of GPGPU acceleration, we can gain up to M × M speedup compared with a traditional CPU or digital signal processor.
In digital signal processing (DSP), parallel processing is a technique duplicating function units to operate different tasks (signals) simultaneously. [1] Accordingly, we can perform the same processing for different signals on the corresponding duplicated function units.
The DSP has a VLIW/SIMD architecture. It consists of a 32-bit RISC core and a 64-bit vector co-processor. The vector co-processor supports vector operations with elements of variable bit length (US Pat. 6539368 B1) and is optimized to support the implementation of artificial neural networks. [1] [2] From this derives the name NeuroMatrix Core ...
The processors have built-in, fixed-point digital signal processor (DSP) functionality performed by 16-bit multiply–accumulates (MACs), accompanied on-chip by a microcontroller. [1] It was designed for a unified low-power processor architecture that can run operating systems while simultaneously handling complex numeric tasks such as real ...
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 ...
Then, the output sample y(n) can be computed in terms of the inputs and the output sample y(n − M) such that there are M delay elements in the critical loop. These elements are then used to pipeline the critical loop by M stages so that the sample rate can be increased by a factor M. Consider the 1st-order IIR filter transfer function