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Hasan Abbasi
Observed names:
H Abbasi,
H. Abbasi,
Muhammad Hassan Abbasi
Institutions:
Dawood University of Engineering and Technology,
Carleton University
Observed institutions:
University of Sindh,
Oak Ridge National Laboratory,
Georgia Institute of Technology,
University of Malaya,
Dawood University of Engineering and Technology,
University of Hawaii at Hilo,
Bahria University,
Carleton University,
University of Tennessee at Knoxville
show all 9
ORCID:
0000-0002-1232-0963
Observed ORCIDs:
0000-0002-1232-0963,
0009-0005-6610-8828
OpenAlex ID:
A5103043074
Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks
2013
·
Qing Liu
, Jeremy Logan
, et al.
·
Concurrency and Computation Practice and Experience
·
221
Combining in-situ and in-transit processing to enable extreme-scale scientific analysis
2012
·
Janine C. Bennett
, Hasan Abbasi
, et al.
·
International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
·
193
PDF
In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms
2016
·
A. C. Bauer
, H. Abbasi
, et al.
·
Computer Graphics Forum
·
182
PreDatA – preparatory data analytics on peta-scale machines
2010
·
Fang Zheng
, Hasan Abbasi
, et al.
·
IEEE International Parallel and Distributed Processing Symposium (IPDPS)
·
166
DataStager: scalable data staging services for petascale applications
2009
·
Hasan Abbasi
, Matthew Wolf
, et al.
·
ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC)
·
156
DataStager: scalable data staging services for petascale applications
2010
·
Hasan Abbasi
, Matthew Wolf
, et al.
·
Cluster Computing
·
94
GoldRush: resource efficient in situ scientific data analytics using fine-grained interference aware execution
2013
·
Fang Zheng
, Hongfeng Yu
, et al.
·
International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
·
79
Flexpath: Type-Based Publish/Subscribe System for Large-Scale Science Analytics
2014
·
Jai Dayal
, Drew Bratcher
, et al.
·
IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)
·
78
Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform
2012
·
Fan Zhang
, Ciprian Docan
, et al.
·
IEEE International Parallel and Distributed Processing Symposium (IPDPS)
·
78
FlexIO: I/O Middleware for Location-Flexible Scientific Data Analytics
2013
·
Fang Zheng
, Hongbo Zou
, et al.
·
IEEE International Parallel and Distributed Processing Symposium (IPDPS)
·
69
Just in time: adding value to the IO pipelines of high performance applications with JITStaging
2011
·
Hasan Abbasi
, Greg Eisenhauer
, et al.
·
ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC)
·
68
Extending I/O through high performance data services
2009
·
Hasan Abbasi
, Jay Lofstead
, et al.
·
IEEE International Conference on Cluster Computing (CLUSTER)
·
56
EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization
2011
·
Yuan Tian
, Scott Klasky
, et al.
·
IEEE International Conference on Cluster Computing (CLUSTER)
·
52
PDF
Cooperative run-time management of adaptive applications and distributed resources
2002
·
Christian Poellabauer
, Hasan Abbasi
, et al.
·
ACM International Conference on Multimedia (ACM MM)
·
44
Parallel in situ indexing for data-intensive computing
2011
·
Jinoh Kim
, Hasan Abbasi
, et al.
·
IEEE Symposium on Large Data Analysis and Visualization
·
43
PDF
Event-based systems: opportunities and challenges at exascale
2009
·
Greg Eisenhauer
, Matthew Wolf
, et al.
·
ACM International Conference on Distributed and Event-Based Systems (DEBS)
·
40
Using cross-layer adaptations for dynamic data management in large scale coupled scientific workflows
2013
·
Tong Jin
, Fan Zhang
, et al.
·
International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
·
27
LIVE data workspace: A flexible, dynamic and extensible platform for petascale applications
2007
·
Hasan Abbasi
, Matthew Wolf
, et al.
·
IEEE International Conference on Cluster Computing (CLUSTER)
·
26
Toward a first-principles integrated simulation of tokamak edge plasmas
2008
·
C S Chang
, S Klasky
, et al.
·
Journal of Physics Conference Series
·
24
PDF
Service Augmentation for High End Interactive Data Services
2005
·
Matthew Wolf
, Hasan Abbasi
, et al.
·
IEEE International Conference on Cluster Computing (CLUSTER)
·
23
Understanding I/O Performance Using I/O Skeletal Applications
2012
·
Jeremy Logan
, Scott Klasky
, et al.
·
Lecture notes in computer science
·
20
XChange: coupling parallel applications in a dynamic environment
2005
·
H. Abbasi
, M. Wolf
, et al.
·
IEEE International Conference on Cluster Computing (CLUSTER)
·
19
I/O Containers: Managing the Data Analytics and Visualization Pipelines of High End Codes
2013
·
Jai Dayal
, Jianting Cao
, et al.
·
IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum
·
18
Plasma fusion code coupling using scalable I/O services and scientific workflows
2009
·
Norbert Podhorszki
, Scott Klasky
, et al.
·
Workshop on Workflows in Support of Large-Scale Science (WORKS)
·
18
In-situ I/O processing: a case for location flexibility
2011
·
Fang Zheng
, Hasan Abbasi
, et al.
·
17
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Works count:
80
Citation count:
2,042
H-index:
20
I10-index:
34
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