Rethinking remote memory placement on large-memory systems with path diversity

2021 ◽  
Author(s):  
Wonkyo Choe ◽  
Sang-Hoon Kim ◽  
Jeongseob Ahn
Author(s):  
Erin J. Wamsley

Dreaming has often been viewed as a “mysterious” experience entirely distinct from waking cognition. An alternative view proposes that dreams are generated by the same fundamental processes that give rise to spontaneous thought during wakefulness. New evidence suggests that these processes include activity of the brain’s memory systems, supporting consolidation of newly encoded experience. During both sleep and wakefulness, fragments of recently encoded memory are recombined with related remote memory and semantic information to create novel scenarios. This is an adaptive process that contributes to the “consolidation” of memory and is reflected in the phenomenology of both our nightly dreams and waking daydreams.


2011 ◽  
Vol 14 (4) ◽  
pp. 325-344 ◽  
Author(s):  
Hyuck Han ◽  
Hyungsoo Jung ◽  
Sooyong Kang ◽  
Heon Y. Yeom

2016 ◽  
Vol 2016 ◽  
pp. 1-10
Author(s):  
Danish Shehzad ◽  
Zeki Bozkuş

Increase in complexity of neuronal network models escalated the efforts to make NEURON simulation environment efficient. The computational neuroscientists divided the equations into subnets amongst multiple processors for achieving better hardware performance. On parallel machines for neuronal networks, interprocessor spikes exchange consumes large section of overall simulation time. In NEURON for communication between processors Message Passing Interface (MPI) is used. MPI_Allgather collective is exercised for spikes exchange after each interval across distributed memory systems. The increase in number of processors though results in achieving concurrency and better performance but it inversely affects MPI_Allgather which increases communication time between processors. This necessitates improving communication methodology to decrease the spikes exchange time over distributed memory systems. This work has improved MPI_Allgather method using Remote Memory Access (RMA) by moving two-sided communication to one-sided communication, and use of recursive doubling mechanism facilitates achieving efficient communication between the processors in precise steps. This approach enhanced communication concurrency and has improved overall runtime making NEURON more efficient for simulation of large neuronal network models.


2016 ◽  
Vol 39 ◽  
Author(s):  
Giosuè Baggio ◽  
Carmelo M. Vicario

AbstractWe agree with Christiansen & Chater (C&C) that language processing and acquisition are tightly constrained by the limits of sensory and memory systems. However, the human brain supports a range of cognitive functions that mitigate the effects of information processing bottlenecks. The language system is partly organised around these moderating factors, not just around restrictions on storage and computation.


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