Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Kawthar Shafie Khorassani"'
Autor:
Kaushik Kandadi Suresh, Kawthar Shafie Khorassani, Chen Chun Chen, Bharath Ramesh, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda
Publikováno v:
IEEE Micro. 43:131-139
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa995afc6d2be522cf4fb91954c37a89
https://doi.org/10.1109/mm.2023.3241133
https://doi.org/10.1109/mm.2023.3241133
Autor:
Kawthar Shafie Khorassani, Chen-Chun Chen, Bharath Ramesh, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda
Publikováno v:
Journal of Computer Science and Technology. 38:128-145
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::490efa312d0fa7bb25782b008b6c1e87
https://doi.org/10.1007/s11390-023-2907-5
https://doi.org/10.1007/s11390-023-2907-5
Autor:
Kaushik Kandadi Suresh, Kawthar Shafie Khorassani, Chen Chun Chen, Bharath Ramesh, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda
Publikováno v:
2022 IEEE Symposium on High-Performance Interconnects (HOTI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b3d89be6850feb514748a8f55b3d6d6
https://doi.org/10.1109/hoti55740.2022.00018
https://doi.org/10.1109/hoti55740.2022.00018
Autor:
Kawthar Shafie Khorassani, Chen Chun Chen, Bharath Ramesh, Aamir Shafi, Hari Subramoni, Dhabaleswar Panda
Publikováno v:
Practice and Experience in Advanced Research Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cf7c7fd6ce59efa1683e4213668d62e
https://doi.org/10.1145/3491418.3530773
https://doi.org/10.1145/3491418.3530773
Autor:
Chen-Chun Chen, Kawthar Shafie Khorassani, Quentin G. Anthony, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4e64a3fdf720431435b3c893db1c93d
https://doi.org/10.1109/ipdpsw55747.2022.00014
https://doi.org/10.1109/ipdpsw55747.2022.00014
Autor:
Qinghua Zhou, Pouya Kousha, Quentin Anthony, Kawthar Shafie Khorassani, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031073113
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::363784cd40596e411e0188b4bf8db707
https://doi.org/10.1007/978-3-031-07312-0_1
https://doi.org/10.1007/978-3-031-07312-0_1
Autor:
Hari Subramoni, Kawthar Shafie Khorassani, Quentin Anthony, Dhabaleswar K. Panda, Ching-Hsiang Chu
Publikováno v:
CCGRID
In recent years, GPU-enhanced clusters have become more prevalent in High-Performance Computing (HPC), leading to a demand for more efficient multi-GPU communication. This makes it increasingly important to explore performance enhancements that can b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00aa622211d2453b71aded3ea8e728fc
https://doi.org/10.1109/ccgrid51090.2021.00021
https://doi.org/10.1109/ccgrid51090.2021.00021
Autor:
Hari Subramoni, Jahanzeb Maqbool Hashmi, Dhabaleswar K. Panda, Ching-Hsiang Chu, Chen-Chun Chen, Kawthar Shafie Khorassani
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030787127
ISC
ISC
Due to the emergence of AMD GPUs and their adoption in upcoming exascale systems (e.g. Frontier), it is pertinent to have scientific applications and communication middlewares ported and optimized for these systems. Radeon Open Compute (ROCm) platfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b121328f3fe8240f55047725cb698e2
https://doi.org/10.1007/978-3-030-78713-4_7
https://doi.org/10.1007/978-3-030-78713-4_7
Autor:
Qinghua Zhou, Hari Subramoni, Kawthar Shafie Khorassani, Ching-Hsiang Chu, Dhabaleswar K. Panda
Publikováno v:
CLUSTER
In the last decade, many scientific applications have been significantly accelerated by large-scale GPU systems. However, the movement of non-contiguous GPU-resident data is one of the most challenging components of scaling these applications using c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15036d9891864d9295189288fc5d8976
https://doi.org/10.1109/cluster49012.2020.00023
https://doi.org/10.1109/cluster49012.2020.00023
Autor:
Dhabaleswar K. Panda, Pouya Kousha, Ching-Hsiang Chu, Hari Subramoni, Ammar Ahmad Awan, Kawthar Shafie Khorassani
Publikováno v:
ICS
The advanced fabrics like NVIDIA NVLink are enabling the deployment of dense Graphics Processing Unit (GPU) systems such as DGX-2 and Summit. With the wide adoption of large-scale GPU-enabled systems for distributed deep learning (DL) training, it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5866c808d23af68e2dbc36bf1448a81
https://doi.org/10.1145/3392717.3392771
https://doi.org/10.1145/3392717.3392771