Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Amin Sahebi"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-36 (2024)
Abstract This survey overviews recent Graph Convolutional Networks (GCN) advancements, highlighting their growing significance across various tasks and applications. It underscores the need for efficient hardware architectures to support the widespre
Externí odkaz:
https://doaj.org/article/ffad888138d7431c98da43eb466bf6d5
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-28 (2023)
Abstract Processing large-scale graphs is challenging due to the nature of the computation that causes irregular memory access patterns. Managing such irregular accesses may cause significant performance degradation on both CPUs and GPUs. Thus, recen
Externí odkaz:
https://doaj.org/article/23c388678710405cacce6a11848c3aa6
Publikováno v:
Architecture of Computing Systems ISBN: 9783030816810
ARCS
ARCS
Future computers may take advantage of a dataflow program execution model (PXM) for both performance and energy advantages. One key element to provide a compilation tool-chain for such machines is a framework for developing initial benchmarks. DRT (D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c24173b75de6e6c6624dd25f77aaa003
https://doi.org/10.1007/978-3-030-81682-7_6
https://doi.org/10.1007/978-3-030-81682-7_6
Publikováno v:
MECO
The native implementation of the N-point digital Fourier Transform involves calculating the scalar product of the sample buffer (treated as an N-dimensional vector) with N separate basis vectors. Since each scalar product involves N multiplications a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::754dfd08aabb8e1377a97a334f479392
http://hdl.handle.net/11365/1153046
http://hdl.handle.net/11365/1153046