TY - JOUR
T1 - A dynamic geometry-based shared space interaction framework for parallel scientific applications
AU - Zhang, Li
AU - Parashar, Manish
N1 - Funding Information: ★The research presented in this paper is supported in part by the National Sci-ence Foundation via grants numbers ACI 9984357 (CAREERS), EIA 0103674 (NGS), EIA-0120934 (ITR), ANI-0335244 (NRT), CNS-0305495 (NGS) and by DOE ASCI/ASAP via grant number 82-1052856.
PY - 2004
Y1 - 2004
N2 - While large-scale parallel/distributed simulations are rapidly becoming critical research modalities in academia and industry, their efficient and scalable parallel implementations present many challenges. A key challenge is the dynamic and complex communication/coordination patterns required by these applications, which depend on states of the phenomenon being modeled and are determined by the specific numerical formulation, the domain decomposition and/or sub-domain refinement algorithms used, and are known only at runtime. In this paper, we present a dynamic geometry-based shared-space interaction framework for scientific applications. The framework provides the flexibility of shared-space coordination models while enabling scalable implementations. The design, prototype implementation and experimental evaluation using an adaptive multi-block oil reservoir simulation are presented.
AB - While large-scale parallel/distributed simulations are rapidly becoming critical research modalities in academia and industry, their efficient and scalable parallel implementations present many challenges. A key challenge is the dynamic and complex communication/coordination patterns required by these applications, which depend on states of the phenomenon being modeled and are determined by the specific numerical formulation, the domain decomposition and/or sub-domain refinement algorithms used, and are known only at runtime. In this paper, we present a dynamic geometry-based shared-space interaction framework for scientific applications. The framework provides the flexibility of shared-space coordination models while enabling scalable implementations. The design, prototype implementation and experimental evaluation using an adaptive multi-block oil reservoir simulation are presented.
KW - Communication locality
KW - Dynamic geometry-based shared space
KW - Hilbert space filling curve
KW - Parallel scientific applications
KW - Scalability
KW - Tuple space
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U2 - 10.1007/978-3-540-30474-6_24
DO - 10.1007/978-3-540-30474-6_24
M3 - Article
SN - 0302-9743
VL - 3296
SP - 189
EP - 199
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -