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of 5
pro vyhledávání: '"Seungwon Min"'
Autor:
Zaid Qureshi, Vikram Sharma Mailthody, Wen-mei W. Hwu, Jinjun Xiong, Eiman Ebrahimi, Seungwon Min
Publikováno v:
Proceedings of the VLDB Endowment. 14:114-127
Modern analytics and recommendation systems are increasingly based on graph data that capture the relations between entities being analyzed. Practical graphs come in huge sizes, offer massive parallelism, and are stored in sparse-matrix formats such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f2da832b6ef0cd6a1730d2e63a31189
https://doi.org/10.14778/3425879.3425883
https://doi.org/10.14778/3425879.3425883
Autor:
Kun Wu, Wen-mei W. Hwu, Eiman Ebrahimi, Mert Hidayetoglu, Seungwon Min, Sitao Huang, Deming Chen, Jinjun Xiong
Graph Convolutional Networks (GCNs) are increasingly adopted in large-scale graph-based recommender systems. Training GCN requires the minibatch generator traversing graphs and sampling the sparsely located neighboring nodes to obtain their features.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a09b0218295585f51b97fbd4152ca6c
Publikováno v:
IEEE Computer Architecture Letters. 17:221-224
Many modern embedded CPUs adopt Non-Coherent DMA (NC-DMA) over Coherent DMA (C-DMA) because of simplicity. An NC-DMA design, however, requires a CPU device driver to explicitly invalidate or flush a wide range of cache space. When an I/O DMA device w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f949a89b651c8d8f0dcc0e81e2bbc2e
https://doi.org/10.1109/lca.2018.2866568
https://doi.org/10.1109/lca.2018.2866568
Publikováno v:
FPL
Unlike traditional PCIe-based FPGA accelerators, heterogeneous SoC-FPGA devices provide tighter integrations between software running on CPUs and hardware accelerators. Modern heterogeneous SoC-FPGA platforms support multiple I/O cache coherence opti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bfd09a15d4c17410eb5e6ce651dcf5e
Autor:
Wen-mei W. Hwu, Mohammad Alian, Jinjun Xiong, Daehoon Kim, Nam Sung Kim, Deming Chen, Hadi Asghari-Moghaddam, Dong Kai Wang, Thomas Roewer, Oliver O'Halloran, Seungwon Min, Adam J. McPadden, Ashutosh Dhar
Publikováno v:
MICRO
The physical memory capacity of servers is expected to increase drastically with the deployment of the forthcoming non-volatile memory technologies. This is a welcomed improvement for the emerging data-intensive applications. For such servers to be c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec360901ec1ceb5ec40e0f272e5e56ab
https://doi.org/10.1109/micro.2018.00070
https://doi.org/10.1109/micro.2018.00070