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Relevant bibliographies by topics / Memory offloading

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Journal articles
Dissertations / Theses
Book chapters
Conference papers
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Academic literature on the topic 'Memory offloading'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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Journal articles on the topic "Memory offloading"

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Grinschgl, Sandra, Frank Papenmeier, and Hauke S. Meyerhoff. "Consequences of cognitive offloading: Boosting performance but diminishing memory." Quarterly Journal of Experimental Psychology 74, no. 9 (2021): 1477–96. http://dx.doi.org/10.1177/17470218211008060.

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Modern technical tools such as tablets allow for the temporal externalisation of working memory processes (i.e., cognitive offloading). Although such externalisations support immediate performance on different tasks, little is known about potential long-term consequences of offloading behaviour. In the current set of experiments, we studied the relationship between cognitive offloading and subsequent memory for the offloaded information as well as the interplay of this relationship with the goal to acquire new memory representations. Our participants solved the Pattern Copy Task, in which we manipulated the costs of cognitive offloading and the awareness of a subsequent memory test. In Experiment 1 ( N = 172), we showed that increasing the costs for offloading induces reduced offloading behaviour. This reduction in offloading came along with lower immediate task performance but more accurate memory in an unexpected test. In Experiment 2 ( N = 172), we confirmed these findings and observed that offloading behaviour remained detrimental for subsequent memory performance when participants were aware of the upcoming memory test. Interestingly, Experiment 3 ( N = 172) showed that cognitive offloading is not detrimental for long-term memory formation under all circumstances. Those participants who were forced to offload maximally but were aware of the memory test could almost completely counteract the negative impact of offloading on memory. Our experiments highlight the importance of the explicit goal to acquire new memory representations when relying on technical tools as offloading did have detrimental effects on memory without such a goal.

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Kelly, Megan O., and Evan F. Risko. "Offloading memory: Serial position effects." Psychonomic Bulletin & Review 26, no. 4 (2019): 1347–53. http://dx.doi.org/10.3758/s13423-019-01615-8.

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Risko, E. F., M. O. Kelly, P. Patel, and C. Gaspar. "Offloading memory leaves us vulnerable to memory manipulation." Cognition 191 (October 2019): 103954. http://dx.doi.org/10.1016/j.cognition.2019.04.023.

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Tarde, Yashada, and Prema Joshi. "A Study of Effect of Cognitive Offloading on Instant Performance and Metamemory in Short-Term Task." Indian Journal of Behavioural Sciences 26, no. 02 (2023): 85–94. http://dx.doi.org/10.55229/ijbs.v26i2.03.

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Background: Cognitive offloading reduces requirement of mental processing by use of physical actions like setting reminders. Increasing use of smart-gadgets for externalization of memory is make us more vulnerable to develop tendency of offloading. Our young generation has resorted to use of offloading right from their childhood due to leisure handling of gadgets, without metamemory evaluation. Recurrent use of offloading might reduce their efficiency to utilize their thought process whenever required. Objective: To compare and assess performance of adults and adolescents in instant task and short-term task including cost-benefit evaluation with and without offloading. Material & Methods Present study was conducted on 186 participants divided into two age groups: adults(18-40 years), adolescents(13-17 years) after taking appropriate written informed consent. Study commenced after approval from ethics committee. Two groups were divided into offloading permitted and not permitted based on randomized computer-generated-sequence. This cross-sectional study analyzed performance in colour block test, forward digit recall and backward digit recall1 in two sets, one immediately after sequence was portrayed and other, half-an-hour later. Cost-benefit evaluation was also assessed. Working memory assessment to compare between two age groups was done. Statistical analysis was done using paired and unpaired T-test. Result: Significant increase in instant performance and decline in short-term performance was seen in offloaded group. The performance in offloaded group significantly decreased on adding cost-benefit evaluation. Reduction in working memory performance was seen in younger age group. Interpretation & Conclusion: Cognitive offloading increases the instant performance but adversely affects development of long-term and working memory.

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Zulfa, Mulki Indana, Rudy Hartanto, Adhistya Erna Permanasari, and Waleed Ali. "LRU-GENACO: A Hybrid Cached Data Optimization Based on the Least Used Method Improved Using Ant Colony and Genetic Algorithms." Electronics 11, no. 19 (2022): 2978. http://dx.doi.org/10.3390/electronics11192978.

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An optimization strategy for cached data offloading plays a crucial role in the edge network environment. This strategy can improve the performance of edge nodes with limited cache memory to serve data service requests from user terminals. The main challenge that must be solved in optimizing cached data offloading is assessing and selecting the cached data with the highest profit to be stored in the cache memory. Selecting the appropriate cached data can improve the utility of memory space to increase HR and reduce LSR. In this paper, we model the cached data offloading optimization strategy as the classic optimization KP01. The cached data offloading optimization strategy is then improved using a hybrid approach of three algorithms: LRU, ACO, and GA, called LRU-GENACO. The proposed LRU-GENACO was tested using four real proxy log datasets from IRCache. The simulation results show that the proposed LRU-GENACO hit ratio is superior to the LRU GDS SIZE algorithms by 13.1%, 26.96%, 53.78%, and 81.69%, respectively. The proposed LRU-GENACO method also reduces the average latency by 25.27%.

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Kelly, Megan O., and Evan F. Risko. "The isolation effect when offloading memory." Journal of Applied Research in Memory and Cognition 8, no. 4 (2019): 471–80. http://dx.doi.org/10.1037/h0101842.

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Kelly, Megan O., and Evan F. Risko. "The Isolation Effect When Offloading Memory." Journal of Applied Research in Memory and Cognition 8, no. 4 (2019): 471–80. http://dx.doi.org/10.1016/j.jarmac.2019.10.001.

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Lu, Baotong, Kaisong Huang, Chieh-Jan Mike Liang, Tianzheng Wang, and Eric Lo. "DEX: Scalable Range Indexing on Disaggregated Memory." Proceedings of the VLDB Endowment 17, no. 10 (2024): 2603–16. http://dx.doi.org/10.14778/3675034.3675050.

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Memory disaggregation can potentially allow memory-optimized range indexes such as B+-trees to scale beyond one machine while attaining high hardware utilization and low cost. Designing scalable indexes on disaggregated memory, however, is challenging due to rudimentary caching, unprincipled offloading and excessive inconsistency among servers. This paper proposes DEX, a new scalable B+-tree for memory disaggregation. DEX includes a set of techniques to reduce remote accesses, including logical partitioning, lightweight caching and cost-aware offloading. Our evaluation shows that DEX can outperform the state-of-the-art by 1.7--56.3×, and the advantage remains under various setups, such as cache size and skewness.

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Soares, Julia S., and Benjamin C. Storm. "Exploring functions of and recollections with photos in the age of smartphone cameras." Memory Studies 15, no. 2 (2021): 287–303. http://dx.doi.org/10.1177/17506980211044712.

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People often report taking photos to aid memory. Two mixed-method surveys were used to investigate participants’ reasons for taking photos, focusing specifically on memory-related reasons, which were split into two sub-types: photos taken as mementos, and photos taken as a means of offloading information. Participants reported their motivations for taking a sample of photos and then rated their recollective experience of each photographed event. Across both studies, participants reported recollecting events associated with a memento goal more vividly, more positively, and with more emotional intensity than events associated with an offloading goal. As expected, events photographed with a memento goal were also rated by participants to be more reflective of a shared memory system between the participants and the camera than were events photographed with an offloading goal. These findings suggest that people’s motivations when taking photos tend to be associated with different types of recollective experiences, as well as different judgments about where personal information is located in a blended human-camera memory system.

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Soares, Julia S., and Benjamin C. Storm. "Exploring functions of and recollections with photos in the age of smartphone cameras." Memory Studies 15, no. 2 (2021): 287–303. http://dx.doi.org/10.1177/17506980211044712.

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People often report taking photos to aid memory. Two mixed-method surveys were used to investigate participants’ reasons for taking photos, focusing specifically on memory-related reasons, which were split into two sub-types: photos taken as mementos, and photos taken as a means of offloading information. Participants reported their motivations for taking a sample of photos and then rated their recollective experience of each photographed event. Across both studies, participants reported recollecting events associated with a memento goal more vividly, more positively, and with more emotional intensity than events associated with an offloading goal. As expected, events photographed with a memento goal were also rated by participants to be more reflective of a shared memory system between the participants and the camera than were events photographed with an offloading goal. These findings suggest that people’s motivations when taking photos tend to be associated with different types of recollective experiences, as well as different judgments about where personal information is located in a blended human-camera memory system.

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Dissertations / Theses on the topic "Memory offloading"

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Grinschgl, Sandra [Verfasser]. "Determinants and consequences of offloading working memory processes / Sandra Grinschgl." Tübingen : Universitätsbibliothek Tübingen, 2020. http://d-nb.info/1218073225/34.

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Ren, Bin. "Supporting Applications Involving Dynamic Data Structures and Irregular Memory Access on Emerging Parallel Platforms." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397753127.

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Isoard, Alexandre. "Extending Polyhedral Techniques towards Parallel Specifications and Approximations." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEN011/document.

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Les techniques polyédriques permettent d’appliquer des analyses et transformations de code sur des structures multidimensionnelles telles que boucles imbriquées et tableaux. Elles sont en général restreintes aux programmes séquentiels dont le contrôle est affine et statique. Cette thèse consiste à les étendre à des programmes comportant par exemple des tests non analysables ou exprimant du parallélisme. Le premier résultat est l'extension de l’analyse de durée de vie et conflits mémoire, pour les scalaires et les tableaux, à des programmes à spécification parallèle ou approximée. Dans les travaux précédents sur l’allocation mémoire pour laquelle cette analyse est nécessaire, la notion de temps ordonne totalement les instructions entre elles et l’existence de cet ordre est implicite et nécessaire. Nous avons montré qu'il est possible de mener à bien de telles analyses sur un ordre partiel quelconque qui correspondra au parallélisme du programme étudié. Le deuxième résultat est d'étendre les techniques de repliement mémoire, basées sur les réseaux euclidiens, de manière à trouver automatiquement une base adéquate à partir de l'ensemble des conflits mémoire. Cet ensemble est fréquemment non convexe, cas qui était traité de façon insuffisante par les méthodes précédentes. Le dernier résultat applique les deux analyses précédentes au calcul par blocs "pipelinés" et notamment au cas de blocs de taille paramétrique. Cette situation donne lieu à du contrôle non-affine mais peut être traité de manière précise par le choix d’approximations adaptées. Ceci ouvre la voie au transfert efficace de noyaux de calculs vers des accélérateurs tels que GPU, FPGA ou autre circuit spécialisé<br>Polyhedral techniques enable the application of analysis and code transformations on multi-dimensional structures such as nested loops and arrays. They are usually restricted to sequential programs whose control is both affine and static. This thesis extend them to programs involving for example non-analyzable conditions or expressing parallelism. The first result is the extension of the analysis of live-ranges and memory conflicts, for scalar and arrays, to programs with parallel or approximated specification. In previous work on memory allocation for which this analysis is required, the concept of time provides a total order over the instructions and the existence of this order is an implicit requirement. We showed that it is possible to carry out such analysis on any partial order which match the parallelism of the studied program. The second result is to extend memory folding techniques, based on Euclidean lattices, to automatically find an appropriate basis from the set of memory conflicts. This set is often non convex, case that was inadequately handled by the previous methods. The last result applies both previous analyzes to "pipelined" blocking methods, especially in case of parametric block size. This situation gives rise to non-affine control but can be processed accurately by the choice of suitable approximations. This paves the way for efficient kernel offloading to accelerators such as GPUs, FPGAs or other dedicated circuit

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Mikšovská, Markéta. "Cognitive offloading: O vlivu nových médií na kognitivní schopnosti člověka." Master's thesis, 2020. http://www.nusl.cz/ntk/nusl-410742.

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(in English) The subject of this master thesis is a cognitive offloading, sometimes also called cognitive outsourcing, meaning the impact of new media on human cognitive abilities. This work describes the evolution of the theoretical concept of cognitive offloading, types of cognitive offloading and it's functioning in today's society. Following Daniel Wegner's work, it describes basic concepts such as group mind and transactive memory and it focuses on a specific area of cognitive offloading - the impact of mobile photography on human memory. The thesis summarizes results of existing studies in this field and presents the results of a replicated pilot study conducted with the students of Czech high school. The aim of this study was to find out if - and to what extent - does smartphones impact one's memory and cognitive abilities in daily life. The conclusion analyzes the limits of this work and outlines further research possibilities in this field.

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Book chapters on the topic "Memory offloading"

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Lu, Xinyi, Megan O. Kelly, and Evan F. Risko. "The gist of it: offloading memory does not reduce the benefit of list categorisation." In Memory Online. Routledge, 2022. http://dx.doi.org/10.4324/9781003357360-4.

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Elwasif, Wael. "Experimental Characterization of OpenMP Offloading Memory Operations and Unified Shared Memory Support." In OpenMP: Advanced Task-Based, Device and Compiler Programming. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40744-4_14.

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Huber, Joseph, and Jon Chesterfield. "OpenMP Reverse Offloading Using Shared Memory Remote Procedure Calls." In OpenMP: Advanced Task-Based, Device and Compiler Programming. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40744-4_15.

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Tabuchi, Akihiro, Hitoshi Murai, Masahiro Nakao, Tetsuya Odajima, and Taisuke Boku. "XcalableACC: An Integration of XcalableMP and OpenACC." In XcalableMP PGAS Programming Language. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7683-6_4.

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AbstractXcalableACC (XACC) is an extension of XcalableMP for accelerated clusters. It is defined as a diagonal integration of XcalableMP and OpenACC, which is another directive-based language designed to program heterogeneous CPU/accelerator systems. XACC has features for handling distributed-memory parallelism, inherited from XMP, offloading tasks to accelerators, inherited from OpenACC, and two additional functions: data/work mapping among multiple accelerators and direct communication between accelerators.

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Wille, Mario, Tobias Weinzierl, Gonzalo Brito Gadeschi, and Michael Bader. "Efficient GPU Offloading with OpenMP for a Hyperbolic Finite Volume Solver on Dynamically Adaptive Meshes." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-32041-5_4.

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AbstractWe identify and show how to overcome an OpenMP bottleneck in the administration of GPU memory. It arises for a wave equation solver on dynamically adaptive block-structured Cartesian meshes, which keeps all CPU threads busy and allows all of them to offload sets of patches to the GPU. Our studies show that multithreaded, concurrent, non-deterministic access to the GPU leads to performance breakdowns, since the GPU memory bookkeeping as offered through OpenMP’s clause, i.e., the allocation and freeing, becomes another runtime challenge besides expensive data transfer and actual computation. We, therefore, propose to retain the memory management responsibility on the host: A caching mechanism acquires memory on the accelerator for all CPU threads, keeps hold of this memory and hands it out to the offloading threads upon demand. We show that this user-managed, CPU-based memory administration helps us to overcome the GPU memory bookkeeping bottleneck and speeds up the time-to-solution of Finite Volume kernels by more than an order of magnitude.

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Yang, Yang, Xiaolin Chang, Ziye Jia, Zhu Han, and Zhen Han. "Processing in Memory Assisted MEC 3C Resource Allocation for Computation Offloading." In Algorithms and Architectures for Parallel Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60245-1_47.

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Jääskeläinen, Pekka, John Glossner, Martin Jambor, Aleksi Tervo, and Matti Rintala. "Offloading C++17 Parallel STL on System Shared Virtual Memory Platforms." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02465-9_46.

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Risko, Evan F., and Megan O. Kelly. "Offloading memory: A review." In Reference Module in Neuroscience and Biobehavioral Psychology. Elsevier, 2024. http://dx.doi.org/10.1016/b978-0-443-15754-7.00014-6.

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Risko, Evan F., Megan O. Kelly, Xinyi Lu, and April E. Pereira. "Varieties of Offloading Memory." In The Remaking of Memory in the Age of the Internet and Social Media. Oxford University PressNew York, 2025. https://doi.org/10.1093/oso/9780197661260.003.0005.

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Abstract For many, the Internet functions as a kind of limitless external memory store. Like the variety of external artifacts available to aid remembering, how we use them to distribute our memory can take a variety of forms. This chapter introduces a framework for situating these different uses and examines the cognitive consequences in the context of extant research on cognitive offloading. This framework provides a useful means of organizing the various ways external memory stores are integrated into our day-to-day remembering. In addition, it demonstrates that how an external memory store is used will alter the impact it has on cognition and performance. Last, the chapter explores the implications that these different uses of external memory stores might have for the design of tools to aid remembering and the unique features of using the Internet as an external memory store.

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Vzorin, Gleb, Vasilissa Petrova, and Anna Sedykh. "ChatGPT May Foster Human Gist Memory While Offloading Less Sufficient Information." In HHAI 2024: Hybrid Human AI Systems for the Social Good. IOS Press, 2024. http://dx.doi.org/10.3233/faia240232.

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Recent research challenges the notion that digital offloading impairs memory, suggesting instead that at least gist memory may stay intact. Drawing from Walter Kintsch’s tripartite model of text comprehension, we hypothesize that offloading spares cognitive resources, thus not merely sparing gist memory, rather improving it. Our methodology involves two experiments testing memory retention across different levels of text comprehension, under conditions of anticipated text accessibility, including the use of ChatGPT. Preliminary results from these experiments indicate comprehension level effect, with higher-order cognitive processes benefiting more from offloading. Although pilot data has no statistical significance, they hint at a potential advantage of digital offloading for gist memory, challenging traditional perceptions of memory decline due to technological reliance. The ongoing research aims to further elucidate the impact of digital offloading on memory processes, potentially shaping future hybrid cognitive architectures where human creativity and AI-driven memory retention coalesce.

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Conference papers on the topic "Memory offloading"

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Maity, Satanu, Manojit Ghose, Avinash Kumar, Anol Chakraborty, and Ankit Chakraborty. "Unguided Machine Learning-Based Computation Offloading for Near-Memory Processing." In 2025 38th International Conference on VLSI Design and 2025 24th International Conference on Embedded Systems (VLSID). IEEE, 2025. https://doi.org/10.1109/vlsid64188.2025.00105.

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Wahlgren, Jacob, Gabin Schieffer, Maya Gokhale, Roger Pearce, and Ivy Peng. "Disaggregated Memory with SmartNIC Offloading: a Case Study on Graph Processing." In 2024 IEEE 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD). IEEE, 2024. http://dx.doi.org/10.1109/sbac-pad63648.2024.00022.

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Ryu, Junghyun, Hongsu Byun, Myungcheol Lee, Jinchun Choi, and Youngjae Kim. "Evaluation of Erasure Coding and Opportunistic Offloading Algorithms Using DPU in Distributed Storage Systems." In 2024 13th Non-Volatile Memory Systems and Applications Symposium (NVMSA). IEEE, 2024. http://dx.doi.org/10.1109/nvmsa63038.2024.10693658.

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Nai, Lifeng, and Hyesoon Kim. "Instruction Offloading with HMC 2.0 Standard." In MEMSYS '15: International Symposium on Memory Systems. ACM, 2015. http://dx.doi.org/10.1145/2818950.2818982.

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Chen, Messer, Milojicic, and Sandhya Dwarkadas. "Garbage collector assisted memory offloading for memory-constrained devices." In Proceedings DARPA Information Survivability Conference and Exposition MCSA-03. IEEE, 2003. http://dx.doi.org/10.1109/mcsa.2003.1240767.

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Weiner, Johannes, Niket Agarwal, Dan Schatzberg, et al. "TMO: transparent memory offloading in datacenters." In ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems. ACM, 2022. http://dx.doi.org/10.1145/3503222.3507731.

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Ostergaard, Jeppe Hagelskjar, Edlira Dushku, and Nicola Dragoni. "ERAMO: Effective Remote Attestation through Memory Offloading." In 2021 IEEE International Conference on Cyber Security and Resilience (CSR). IEEE, 2021. http://dx.doi.org/10.1109/csr51186.2021.9527978.

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Corda, Stefano, Madhurya Kumaraswamy, Ahsan Javed Awan, Roel Jordans, Akash Kumar, and Henk Corporaal. "NMPO: Near-Memory Computing Profiling and Offloading." In 2021 24th Euromicro Conference on Digital System Design (DSD). IEEE, 2021. http://dx.doi.org/10.1109/dsd53832.2021.00048.

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Yamato, Kouki, Kenichi Kourai, and Tarek Saadawi. "Transparent IDS Offloading for Split-Memory Virtual Machines." In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2020. http://dx.doi.org/10.1109/compsac48688.2020.0-160.

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Wada, Koichi, Shinsuke Kawaguchi, Masaaki Ono, and Naoki Yonezawa. "Distributed shared memory based on offloading to cluster network." In 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim). IEEE, 2011. http://dx.doi.org/10.1109/pacrim.2011.6032901.

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Reports on the topic "Memory offloading"

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Suresh Kumar, Karthika. Cognitive Offloading and Learning: Enhancing Memory Retention through ChatGPT Integration. Iowa State University, 2023. http://dx.doi.org/10.31274/cc-20240624-379.

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