Cognitive map construction and use: a parallel distributed processing approach - Chrisley - 1990R. Chrisley, "Cognitive map construction and use: A parallel distributed processing approach," in Connectionist Mo
(1989). Sentence compre- hension: A parallel distributed processing approach. Language and Cognitive Processes, 4, 287-335.McClelland, J. L., St John, M., Taraban, R. 1989 Sentence comprehension: A parallel distributed processing approach Language and Cognitive Processes 4 287 335...
It describes a dynamical system which is embodied as a "parallel distributed processing" or "connectionist" network. The trajectories of this dynamical system come to follow desired paths corresponding to particular action sequences as a result of a learning process during which constraints are ...
在下文中,用 worker 指代执行查询任务的单位,它可能是 Process(es),也可能是 Thread(s)。 Approach #1: Process per DBMS Worker 用户请求经过 Dispatcher 后,由 Dispatcher 分配相应的 Worker 完成查询并返回结果,每个 worker 都是单独的 OS Process 依赖OS scheduler 来调度 使用shared-memory 来存储全局数据结构...
The approach is a combination of the striping described above in Section 4.1 and the CMM distribution described in Section 4.2 with Hadoop orchestrating the search. Download: Download full-size image Fig. 5. Figure showing distributed AURA recall in Hadoop. In the figure, there are three ...
Your current approach is definitely not compatible with the sandbox, and it’s not clear whether it’d be possible to fix that. I actually think it might be, but that’s neither here nor there. The reality is that you don’t need to sandbox your app, so we don’t have to explore ...
approach, known as connectionism, or parallel-distributed processing, emerged in the 1980s. Theorists such as Geoffrey Hinton, David Rumelhart, and James McClelland argued that human thinking can be represented in structures called artificial neural networks, which are simplified models of the neurologi...
We would like to find an algorithm that would approach the efficiency of the sequential algorithm, while still taking advantage of the parallelism in the GPU. Our goal in this section is to develop a work-efficient scan algorithm for CUDA that avoids the extra factor of log2 n work ...
This paper presents a new approach for parallel heuristic algorithms based on adaptive parallelism. Adaptive parallelism was used to dvnamically adjust the parallelism degree of the application with respect to the system load. This approach demonstrates
To simultaneously accelerate simulations and enlarge the total memory space, the heterogeneous parallelization approach15 (see sections “Heterogeneous parallelization strategy” and section “Julia programming language” for more details) can be adopted. Our simulator allocates memory to each computation ...