Zobrazeno 1 - 10
of 946
pro vyhledávání: '"Conventional memory"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 4, Iss 1, Pp 66-102 (2022)
Data-intensive workloads and applications, such as machine learning (ML), are fundamentally limited by traditional computing systems based on the von-Neumann architecture. As data movement operations and energy consumption become key bottlenecks in t
Externí odkaz:
https://doaj.org/article/f81356e16834462ebc62a7aee654221e
Autor:
Xiyan Dong, Jianchao Shi, Jun Xu, Lina Zhang, Tinghui Zhu, Lei Jia, Ning Bi, Dan Zhao, Jian Gou, Bo Song
Publikováno v:
Journal of Rare Earths. 40:1715-1727
With the rapid changes in the field of information, the research and development of optical storage materials with high security and large storage capacity is particularly important in the development of contemporary society. However, conventional me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1bfcdd60528ca35b84d57c08d46312e
https://doi.org/10.1016/j.jre.2021.11.007
https://doi.org/10.1016/j.jre.2021.11.007
Publikováno v:
IEEE Embedded Systems Letters. 13:162-165
Layer-wise quantized neural networks (QNNs), which adopt different precisions for weights or activations in a layer-wise manner, have emerged as a promising approach for embedded systems. The layer-wise QNNs deploy only required number of data bits f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0214f04e9a4f8aa910b3ef9b48d477c
https://doi.org/10.1109/les.2021.3050253
https://doi.org/10.1109/les.2021.3050253
Autor:
Nagi Mekhiel
Publikováno v:
IEEE Access, Vol 4, Pp 1073-1085 (2016)
The increase in processor speed achieved by continuous improvements in technology is causing major obstacles to the parallel processors implemented inside the chip. The time spent in servicing all the cache misses from all processors from a slow shar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9707809215befd5c7926517fcf57f4d1
https://doi.org/10.32920/21463020
https://doi.org/10.32920/21463020
Publikováno v:
IEEE Transactions on Computers. 70:833-848
Emerging High-Performance Computing (HPC) workloads, such as graph analytics, machine learning, and big data science, are data-intensive. Data-intensive workloads usually present fine-grained memory accesses with limited or no data locality, and thus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7e2c99480a6cec000c420bb56239d36
https://doi.org/10.1109/tc.2021.3066982
https://doi.org/10.1109/tc.2021.3066982
Robust Deep Reservoir Computing Through Reliable Memristor With Improved Heat Dissipation Capability
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40:574-583
Deep neural networks (DNNs), a brain-inspired learning methodology, requires tremendous data for training before performing inference tasks. The recent studies demonstrate a strong positive correlation between the inference accuracy and the size of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::177f16c21563733fbeacd15cff24e9b8
https://doi.org/10.1109/tcad.2020.3002539
https://doi.org/10.1109/tcad.2020.3002539
Publikováno v:
IEEE Access, Vol 9, Pp 145098-145108 (2021)
Processing-in-memory (PIM) architectures show the advantage of handling applications that generate complicated memory request patterns; usually, those kinds of memory streams degrade the application’s performance in conventional memory hierarchy sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52b9780db98f621f42b1c8284f609820
https://doi.org/10.1109/access.2021.3122818
https://doi.org/10.1109/access.2021.3122818
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39:3787-3798
Multicore architectures are widely adopted in the emerging real-time applications, such as autonomous vehicles and robotics, where latency is required to be both bounded in the worst case (i.e., time predictability) and low. With the number of proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13e5a15f4c602339199d4097ae01b044
https://doi.org/10.1109/tcad.2020.3012239
https://doi.org/10.1109/tcad.2020.3012239
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems. 16:1-19
Recent advances in deep neural network demand more than millions of parameters to handle and mandate the high-performance computing resources with improved efficiency. The cross-bar array architecture has been considered as one of the promising deep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::625b53451a9d76f86f8e72efebb9b0f1
https://doi.org/10.1145/3393669
https://doi.org/10.1145/3393669
Autor:
Mehmet Bostancıklıoğlu
Publikováno v:
Alzheimer's & Dementia. 16:926-937
Objective We explore here that memory loss observed in the early stage of Alzheimer's disease (AD) is a disorder of memory retrieval, instead of a storage impairment. This engram-centric explanation aims to enlarge the conceptual frame of memory as a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b84b0a500cef00aaa0ccdeb7648dd1f0
https://doi.org/10.1002/alz.12071
https://doi.org/10.1002/alz.12071