Sentence examples for sparse memory from inspiring English sources
The D2Q37 LB algorithm considered in this paper is an appropriate test-bed for this architecture since the critical computing kernels require high performances both in terms of memory bandwidth for sparse memory access patterns and number crunching capability.
However, in this way the threads access very sparse memory locations, thus causing a very bad use of the L1 cache, and this fact globally worsens the execution time, despite the speedup of the allocation/deallocation phases.
Vector LIDA is a variation of the LIDA cognitive architecture that employs high-dimensional Modular Composite Representation (MCR) vectors as its main representation model and Integer Sparse Distributed Memory as its main memory implementation technology.
Sparse distributed memory (SDM) is a content-addressable memory technique that relies on close memory items tending to be clustered together.
The Sparse Distributed Memory (SDM), developed in [7], defines a memory model in which data is stored in distributed fashion in a vast, sparsely populated, binary address space.
With the results presented herein, sparse distributed memory also reflects the natural limits of human short-term memory.
An analysis is presented of a sparse distributed memory (SDM) inspired by that described by Kanerva [Kanerva, P. (1988). Sparse distributed memory.
It is a two-layer network, the first (fixed) layer being similar to the 'address decoder' in Jaeckel's [Jaeckel, L.A. (1989). A class of designs for a sparse distributed memory.
Sparse Distributed Memory holds a number of biologically and psychologically plausible characteristics.
Given these preliminaries concerning the Sparse Distributed Memory, we should now proceed to our second premise: chunking through averaging.
