Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Susanne M. Balle"'
Publikováno v:
Journal of Parallel and Distributed Computing. 64:617-628
Beowulf systems, and other proprietary approaches, are placing systems with four or more CPUs in the hands of many researchers and commercial users. In the near future, systems with hundreds of CPUs will become commonly available, with some programme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eed4f5f85d4fc6dd46970bb6271df80
https://doi.org/10.1016/j.jpdc.2004.03.012
https://doi.org/10.1016/j.jpdc.2004.03.012
Autor:
Susanne M. Balle, Palle M. Pedersen
Publikováno v:
SIAM Journal on Scientific Computing. 18:1462-1478
The singular value decomposition (SVD) plays an essential role in many applications. One technique for obtaining the SVD of a real dense matrix is to first reduce the dense matrix to bidiagonal form and then compute the SVD of the bidiagonal matrix.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0e3674236996af96549c9482345244d
https://doi.org/10.1137/s1064827595281356
https://doi.org/10.1137/s1064827595281356
Publikováno v:
IC2E
Cloud offerings are increasingly serving workloads with a large variability in terms of compute, storage and networking resources. Computing requirements (all the way to High Performance Computing or HPC), criticality, communication intensity, memory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c88c7bdec9261ad9466ba081d892234c
Publikováno v:
IBM Journal of Research and Development. 39:575-582
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27e405c46957def6e7f3e0e7e4c639f4
https://doi.org/10.1147/rd.395.0575
https://doi.org/10.1147/rd.395.0575
Publikováno v:
Applied Parallel Computing. State of the Art in Scientific Computing ISBN: 9783540290674
PARA
PARA
Many tools such as user programming tools, performance tools and system administration tools, which are targeted to be used on a very large number of processors (1,000+) have the same common problems. They need to deal with the large amount of data c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1aece45568bfb22afa25055469b154d6
https://doi.org/10.1007/11558958_24
https://doi.org/10.1007/11558958_24
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540437864
PARA
PARA
Modern computer systems are placing systems with hundreds even tens of thousands of CPUs in the hands of many researchers and commercial users. The debugging methods used on these systems are a combination of traditional and ad-hoc methods. Programme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad4ad789993d44199c11fe56056c97be
https://doi.org/10.1007/3-540-48051-x_15
https://doi.org/10.1007/3-540-48051-x_15
Autor:
Simon C. Steely, Susanne M. Balle
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540654148
PARA
PARA
The development of efficient algorithms on today’s high performance computers is far from straight-forward. Applications need to take full advantage of the deep memory hierarchy which implies that the user has to know exactly how his/her implementa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdeb1e92442b436f9a392102b30dab09
https://doi.org/10.1007/bfb0095315
https://doi.org/10.1007/bfb0095315
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540609025
A 3-dimensional (3-D) matrix multiplication algorithm for massively parallel processing systems is presented. Performing the product of two matrices C=β C+α A B is viewed as solving a 2-dimensional problem in the 3-dimensional computational space.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f6c1e4fa8476bb72a94ba500f55836b
https://doi.org/10.1007/3-540-60902-4_1
https://doi.org/10.1007/3-540-60902-4_1
Autor:
Susanne M. Balle, Palle M. Pedersen
Publikováno v:
Parallel Scientific Computing ISBN: 9783540587125
PARA
PARA
The Singular Value Decomposition (SVD) is an algorithm that plays an essential role in many applications. There is a need for fast SVD algorithms in applications such as signal processing that require the SVD to be obtained or updated in real time. O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ea732059696e48fdda1f9b48457fccf
https://doi.org/10.1007/bfb0030134
https://doi.org/10.1007/bfb0030134
Autor:
Susanne M. Balle, Palle M. Pedersen
Publikováno v:
Parallel Scientific Computing ISBN: 9783540587125
PARA
PARA
Issues raised in the implementation of dense linear algebra algorithms on a distributed memory architecture are discussed along with considerations that arise when the algorithms are implemented as general purpose library routines. We focus on a few
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3684b8d9b2e7ac11eedb4786ee276127
https://doi.org/10.1007/bfb0030171
https://doi.org/10.1007/bfb0030171