Zobrazeno 1 - 10
of 12
pro vyhledávání: '"David A. Boyuka"'
Autor:
Michael E. Papka, Sriram Lakshminarasimhan, Xiaocheng Zou, David A. Boyuka, Saurabh V. Pendse, Venkatram Vishwanath, Scott Klasky, John Jenkins, Nagiza F. Samatova
Publikováno v:
Cluster Computing. 17:1101-1119
Scientific data analytics in high-performance computing environments has been evolving along with the advancement of computing capabilities. With the onset of exascale computing, the increasing gap between compute performance and I/O bandwidth has re
Publikováno v:
SpringSim (HPS)
Query-driven analytics on scientific datasets is one of fundamental approaches for scientific discoveries. Existing studies have explored query-driven analytics on uniform resolution meshes. However, querying on adaptive mesh refinement (AMR) data ha
Publikováno v:
SSDBM
Many scientists rely on indexing and query to identify trends and anomalies within extreme-scale scientific data. Compressed bitmap indexing (e.g., FastBit) is the go-to indexing method for many scientific datasets and query workloads. Recently, the
Autor:
Nagiza F. Samatova, Terry J. Ligocki, Xiaocheng Zou, Hans Johansen, Daniel F. Martin, David A. Boyuka, Houjun Tang, Suren Byna, Kushal Bansal, Kesheng Wu
Publikováno v:
CCGRID
Adaptive Mesh Refinement (AMR) represents a significant advance for scientific simulation codes, greatly reducing memory and compute requirements by dynamically varying simulation resolution over space and time. As simulation codes transition to AMR,
Autor:
Eric R. Schendel, John Jenkins, David A. Boyuka, Nagiza F. Samatova, Xiaocheng Zou, Norbert Podhorszki, Qing Liu, Zhenhuan Gong, Sriram Lakshminarasimhan, Scott Klasky
Publikováno v:
CCGRID
Though an abundance of novel "data transformation" technologies have been developed (such as compression, level-of-detail, layout optimization, and indexing), there remains a notable gap in the adoption of such services by scientific applications. In
Autor:
Stephen Ranshous, Houjun Tang, Nagiza F. Samatova, David A. Boyuka, Sriram Lakshminarasimhan, Scott Klasky, Xiaocheng Zou
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319098722
Euro-Par
Euro-Par
Set intersection is a fundamental operation for evaluating conjunctive queries in the context of scientific data analysis. The state-of-the-art approach in performing set intersection, compressed bitmap indexing, achieves high computational efficienc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15b838c9f97c02c210e103d562672a96
https://doi.org/10.1007/978-3-319-09873-9_56
https://doi.org/10.1007/978-3-319-09873-9_56
Autor:
Nagiza F. Samatova, Houjun Tang, Scott Klasky, Dries Kimpe, Stephen Ranshous, John Jenkins, David A. Boyuka, Xiaocheng Zou
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319098722
Euro-Par
Euro-Par
Among the major challenges of transitioning to exascale in HPC is the ubiquitous I/O bottleneck. For analysis and visualization applications in particular, this bottleneck is exacerbated by the write-onceread- many property of most scientific dataset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2f108133ad15e3d3f27146f3c9b7601
https://doi.org/10.1007/978-3-319-09873-9_21
https://doi.org/10.1007/978-3-319-09873-9_21
Autor:
Nagiza F. Samatova, Michael E. Papka, John Jenkins, Saurabh V. Pendse, Venkatram Vishwanath, Sriram Lakshminarasimhan, David A. Boyuka, Xiaocheng Zou
Publikováno v:
HPDC
The process of scientific data analysis in high-performance computing environments has been evolving along with the advancement of computing capabilities. With the onset of exascale computing, the increasing gap between compute performance and I/O ba
Autor:
Qing Liu, Nagiza F. Samatova, Scott Klasky, Xiaocheng Zou, Norbert Podhorszki, David A. Boyuka, Zhenhuan Gong, Xiaosong Ma
Publikováno v:
CCGRID
The size and scope of cutting-edge scientific simulations are growing much faster than the I/O and storage capabilities of their run-time environments. The growing gap is exacerbated by exploratory, data-intensive analytics, such as querying simulati
Autor:
John Jenkins, Isha Arkatkar, Sriram Lakshminarasimhan, David A. Boyuka, Eric R. Schendel, Neil Shah, Stephane Ethier, Choong-Seock Chang, Jackie Chen, Hemanth Kolla, Scott Klasky, Robert Ross, Nagiza F. Samatova
Publikováno v:
Transactions on Large-Scale Data-and Knowledge-Centered Systems X ISBN: 9783642412202
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01978a0b390769dbb4379a3dccfb6e63
https://doi.org/10.1007/978-3-642-41221-9_4
https://doi.org/10.1007/978-3-642-41221-9_4