Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Haoqiang Jin"'
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Publikováno v:
2020 IEEE International Conference on Mechatronics and Automation (ICMA).
The mother ship will recover the unmanned underwater vehicle (AUV) when the task is completed. The method of underwater acoustic positioning and guidance is not suitable for short-range recycle and does not meet the needs of underwater concealed work
Autor:
Haoqiang Jin
Publikováno v:
ICSPCC
The performance of the three-axis magnetometer is mainly restricted by the sensitivity error, offset error, and nonorthogonality error. In this paper, we present a geometric ellipsoid fitting method to calibrate these errors. The new method is based
Autor:
Subhash Saini, Steve Heistand, Rupak Biswas, Arthur Lazanoff, Piyush Mehrotra, Robert Hood, Haoqiang Jin, Jahed Djomehri
Publikováno v:
Concurrency and Computation: Practice and Experience. 28:1041-1055
Cloud computing environments are now widely available and are being increasingly utilized for technical computing. They are also being touted for high-performance computing HPC applications in science and engineering. For example, Amazon Elastic Comp
Autor:
Haoqiang Jin, İnanç Şenocak
Publikováno v:
Introduction to Scientific and Technical Computing ISBN: 9781315382395
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4db3f4fe23dc958fcce4b3876331e3ee
https://doi.org/10.1201/9781315382395-24
https://doi.org/10.1201/9781315382395-24
Publikováno v:
Parallel Computing. 37:562-575
The rapidly increasing number of cores in modern microprocessors is pushing the current high performance computing (HPC) systems into the petascale and exascale era. The hybrid nature of these systems - distributed memory across nodes and shared memo
Autor:
Karl Fuerlinger, Filip Blagojevic, Nicholas J. Wright, Paul Hargrove, Haoqiang Jin, Seung-Jai Min, Alice Koniges, Hongzhang Shan
Publikováno v:
Scientific Programming, Vol 18, Iss 3-4, Pp 153-167 (2010)
Harnessing the power of multicore platforms is challenging due to the additional levels of parallelism present. In this paper we use the NAS Parallel Benchmarks to study three programming models, MPI, OpenMP and PGAS to understand their performance a
Publikováno v:
International Journal of Parallel Programming. 36:312-325
We describe a performance study of a multi-zone application benchmark implemented in several OpenMP approaches that exploit multi-level parallelism and deal with unbalanced workload. The multi-zone application was derived from the well-known NAS Para
Publikováno v:
The International Journal of High Performance Computing Applications. 22:97-112
Columbia, NASA's 10,240-processor supercluster, has been ranked as one of the fastest computers in the world since November 2004. In this paper we examine the performance characteristics of its production subclusters, which are typically configuratio
Publikováno v:
International Journal of Computer Mathematics. 84:167-175
The parallelization of real-world compute intensive Fortran application codes is generally not a trivial task. If the time to complete the parallelization is to be significantly reduced then an environment is needed that will assist the programmer in