scholarly journals On-the-fly Page Migration and Address Reconciliation for Heterogeneous Memory Systems

2020 ◽  
Vol 16 (1) ◽  
pp. 1-27
Author(s):  
Mahzabeen Islam ◽  
Shashank Adavally ◽  
Marko Scrbak ◽  
Krishna Kavi
Keyword(s):  
Memory Systems ◽  
Page Migration

scholarly journals Supporting Superpages and Lightweight Page Migration in Hybrid Memory Systems

2019 ◽  
Vol 16 (2) ◽  
pp. 1-26 ◽  
Author(s):  
Xiaoyuan Wang ◽  
Haikun Liu ◽  
Xiaofei Liao ◽  
Ji Chen ◽  
Hai Jin ◽  
...  
Keyword(s):  
Memory Systems ◽  
Hybrid Memory ◽  
Page Migration

DUANG: Fast and lightweight page migration in asymmetric memory systems

2016 ◽  
Author(s):  
Hao Wang ◽  
Jie Zhang ◽  
Sharmila Shridhar ◽  
Gieseo Park ◽  
Myoungsoo Jung ◽  
...  
Keyword(s):  
Memory Systems ◽  
Page Migration

scholarly journals TLB Coalescing for Multi-Grained Page Migration in Hybrid Memory Systems

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 66304-66314 ◽  
Author(s):  
Xiaoyuan Wang ◽  
Haikun Liu ◽  
Xiaofei Liao ◽  
Hai Jin ◽  
Yu Zhang
Keyword(s):  
Memory Systems ◽  
Hybrid Memory ◽  
Page Migration

scholarly journals Adaptive Page Migration Policy with Huge Pages in Tiered Memory Systems

2020 ◽  
pp. 1-1
Author(s):  
Taekyung Heo ◽  
Yang Wang ◽  
Wei Cui ◽  
Jaehyuk Huh ◽  
Lintao Zhang
Keyword(s):  
Migration Policy ◽  
Memory Systems ◽  
Page Migration

Dynamically Adapting Page Migration Policies Based on Applications’ Memory Access Behaviors

2021 ◽  
Vol 17 (2) ◽  
pp. 1-24
Author(s):  
Shashank Adavally ◽  
Mahzabeen Islam ◽  
Krishna Kavi
Keyword(s):  
Memory Systems ◽  
Data Placement ◽  
Memory Access ◽  
Memory Devices ◽  
Migration Policies ◽  
Average Behavior ◽  
Adaptive Techniques ◽  
Page Migration ◽  
And Migration ◽  
Performance Gains

There have been numerous studies on heterogeneous memory systems comprised of faster DRAM (e.g., 3D stacked HBM or HMC) and slower non-volatile memories (e.g., PCM, STT-RAM). However, most of these studies focused on static policies for managing data placement and migration among the different memory devices. These policies are based on the average behavior across a range of applications. Results show that these techniques do not always result in higher performance when compared to systems that do not migrate data across the devices: some applications show performance gains, but other applications show performance losses. It is possible to utilize offline analyses to identify which applications benefit from page migration (migration friendly) and use page migration only with those applications. However, we observed that several applications exhibit both migration friendly and migration unfriendly behaviors during different phases of execution supporting a need for adaptive page migration techniques. We introduce and evaluate techniques that dynamically adapt to the behavior of applications and either reduce or increase migrations, or even halt migrations. Our adaptive techniques show performance gains for both migration friendly (on average of 81% over no migrations) and unfriendly workloads (by an average of 3%): it should be remembered that previous migration techniques resulted in performance losses for unfriendly workloads.

Language processing is not a race against time

2016 ◽  
Vol 39 ◽  
Author(s):  
Giosuè Baggio ◽  
Carmelo M. Vicario
Keyword(s):  
Information Processing ◽  
Human Brain ◽  
Language Processing ◽  
Cognitive Functions ◽  
Memory Systems ◽  
Language System ◽  
Moderating Factors

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.

Working, Declarative, and Procedural Memory in Children With Developmental Language Disorder

2020 ◽  
Vol 63 (12) ◽  
pp. 4162-4178
Author(s):  
Emily Jackson ◽  
Suze Leitão ◽  
Mary Claessen ◽  
Mark Boyes
Keyword(s):  
Working Memory ◽  
Short Term Memory ◽  
Language Disorder ◽  
Declarative Memory ◽  
Memory Systems ◽  
Procedural Memory ◽  
Typically Developing ◽  
Short Term ◽  
Term Memory ◽  
Visual Spatial

Purpose Previous research into the working, declarative, and procedural memory systems in children with developmental language disorder (DLD) has yielded inconsistent results. The purpose of this research was to profile these memory systems in children with DLD and their typically developing peers. Method One hundred four 5- to 8-year-old children participated in the study. Fifty had DLD, and 54 were typically developing. Aspects of the working memory system (verbal short-term memory, verbal working memory, and visual–spatial short-term memory) were assessed using a nonword repetition test and subtests from the Working Memory Test Battery for Children. Verbal and visual–spatial declarative memory were measured using the Children's Memory Scale, and an audiovisual serial reaction time task was used to evaluate procedural memory. Results The children with DLD demonstrated significant impairments in verbal short-term and working memory, visual–spatial short-term memory, verbal declarative memory, and procedural memory. However, verbal declarative memory and procedural memory were no longer impaired after controlling for working memory and nonverbal IQ. Declarative memory for visual–spatial information was unimpaired. Conclusions These findings indicate that children with DLD have deficits in the working memory system. While verbal declarative memory and procedural memory also appear to be impaired, these deficits could largely be accounted for by working memory skills. The results have implications for our understanding of the cognitive processes underlying language impairment in the DLD population; however, further investigation of the relationships between the memory systems is required using tasks that measure learning over long-term intervals. Supplemental Material https://doi.org/10.23641/asha.13250180

Human Memory Systems: A Framework for Understanding Dementia

ASHA Leader ◽  
2007 ◽  
Vol 12 (16) ◽  
pp. 8-11 ◽  
Author(s):  
Nidhi Mahendra ◽  
Allegra Apple
Keyword(s):  
Human Memory ◽  
Memory Systems
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