Eliminating the memory bottleneck

2011 ◽  
Author(s):  
Haohuan Fu ◽  
Robert G. Clapp
Keyword(s):  
Memory Bottleneck

The bottleneck may be the solution, not the problem

2016 ◽  
Vol 39 ◽  
Author(s):  
Arnon Lotem ◽  
Oren Kolodny ◽  
Joseph Y. Halpern ◽  
Luca Onnis ◽  
Shimon Edelman
Keyword(s):  
Working Memory ◽  
Language Acquisition ◽  
Recent Theory ◽  
Cognitive Mechanisms ◽  
Selection Pressures ◽  
Biological Trait ◽  
Memory Bottleneck

AbstractAs a highly consequential biological trait, a memory “bottleneck” cannot escape selection pressures. It must therefore co-evolve with other cognitive mechanisms rather than act as an independent constraint. Recent theory and an implemented model of language acquisition suggest that a limit on working memory may evolve to help learning. Furthermore, it need not hamper the use of language for communication.

The processor-memory bottleneck

1999 ◽  
Vol 5 (3es) ◽  
pp. 2 ◽  
Author(s):  
Nihar R. Mahapatra ◽  
Balakrishna Venkatrao
Keyword(s):  
Memory Bottleneck

scholarly journals A Survey of Different Approaches for Overcoming the Processor - Memory Bottleneck

2017 ◽  
Vol 9 (2) ◽  
pp. 151-163 ◽  
Author(s):  
Danijela Efnusheva ◽  
Ana Cholakoska ◽  
Aristotel Tentov
Keyword(s):  
Memory Bottleneck

Impact of memory bottleneck on the performance of graphics processing units

2015 ◽  
Author(s):  
Dong Oh Son ◽  
Hong Jun Choi ◽  
Jong Myon Kim ◽  
Cheol Hong Kim
Keyword(s):  
Graphics Processing Units ◽  
Memory Bottleneck ◽  
Graphics Processing

scholarly journals Design of GPU Based Non-coherent Signal Tracking Module for Real-time GNSS SDR

2019 ◽  
Vol 94 ◽  
pp. 03013
Author(s):  
Jong-Il Park ◽  
Kwi Woo Park ◽  
Chansik Park
Keyword(s):  
Real Time ◽  
Coherent Signal ◽  
Signal Tracking ◽  
The Real ◽  
Notebook Computer ◽  
Computational Performance ◽  
Memory Bottleneck ◽  
Tracking Module

In this paper, we design and implement GPU-based non-coherent GPS signal tracking module for real-time SDR. When using CPU and GPU simultaneously, the signal tracking module should be designed considering the memory bottleneck between the two processors. The basic non-coherent module, which accumulates the 1msec correlation value 20 times, is changed to accumulate M(20/N) times of Nmsec units. From the experiments using real GPS signals, the computational performance of N=20 is improved by 80% compared to N=1. Therefore, the implemented SDR using notebook computer can tracks more channels simultaneously in the real time.

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