A general-purpose inference processor for real-time intelligent controllers using systolic arraysA systolic array implementation of a general-purpose inference processor is presented. The proposed processor can be used as a building block in the inference engine of an expert system or in a rule-...
Enabled denormal number support for systolic operations in the Vector Compiler (VC). Added Xe2 Battlemage WMTP SIP support. Introduced new GenISA intrinsic WaveClusteredInterleave that combines two wave reductions: WaveClustered and WaveInterleave. Introduced support for copy sign intrinsic in the Vecto...
messages (including data) between processors using an interconnection network or shared memory. In other architectures (e.g., a systolic array), subsets of processing engines have shared registers, and two threads executing on engines with a shared register can share data by writing it to that ...
For general introductions to the topics of systolic architectures; neural networks; and cellular automata and coupled map lattice dynamical systems see respectively: [48], [40]; [46], [74], [53], [...J Blom, A V Holden, M J Poole, J V Tucker, and H Zhang. Caress II: a general ...
In recent years, a number of special-purpose architectures based upon shuffle- exchange networks, cube-connected cycles, ring-based networks, systolic arrays, or programmable processors have been designed for efficient implementation of the VA at these and longer constraint lengths. However, at the ...
one dimensional arrayssiliconsystolic arrayThe analysis of today's neural paradigms brings to light a set elementary compute-intensive algorithmic strings which are shared by all neural models and, thus, make sense to be implemented in hardware. The digital Neural Signal Processor MA16 is designed ...