Models of associative memory usually have full connectivity or if diluted, random symmetric connectivity. In contrast, biological neural systems have predominantly local, non-symm...
We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
In this paper we examine how application performance scales on a state-of-the-art shared virtual memory (SVM) system on a cluster with 64 processors, comprising 4-way SMPs connect...
Dongming Jiang, Brian O'Kelley, Xiang Yu, Sanjeev ...
The increasing use of Multiprocessor Systems-on-Chip (MPSoCs) for high performance demands of embedded applications results in high power dissipation. The memory subsystem is a la...
Ilya Issenin, Erik Brockmeyer, Bart Durinck, Nikil...
The problem we address in this paper is that of finding effective and parsimonious patterns of connectivity in sparse associative memories. This problem must be addressed in real n...
Weiliang Chen, Reinoud Maex, Rod Adams, Volker Ste...