Implementing sparse matrix techniques in the erato code
نویسندگان
چکیده
منابع مشابه
Aspect-Oriented Programming of Sparse Matrix Code
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information to fetch data and to perform the computation. Such runtime preprocessing techniques have been fairly well-studied and successfully incorporated into compilers [14, 6]. The inspector/executor method incurs a runtime overhead for each inspector stage which are greatly increased when references use multiple levels of indirection. To reduce these overheads in sparse-matrix problems, the...
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Modern astrometric techniques lead to large, linear systems solved by the precepts of least-squares. These systems are usually sparse, and one should take advantage of the sparsity to facilitate their solution. As long as the matrix A of the equations of condition possesses the weak Hall property, characteristic of linear systems derived from astrometric reductions, it is possible to nd a spars...
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Sparse matrix problems are diicult to parallelize eeciently on distributed memory machines since data is often accessed indirectly. Inspector/executor strategies, which are typically used to parallelize loops with indirect references, incur substantial run-time preprocessing overheads when references with multiple levels of indirection are encountered | a frequent occurrence in sparse matrix al...
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In modern high performance computers there is a trend towards a hybrid architecture. This hybrid architecture features distributed nodes, each of which contains multiple cores, over which memory is shared. A current challenge in HPC (High Performance Computing) is to find solutions which make the best possible use of hybrid architectures. One possible solution is the use of PGAS (Partitioned Gl...
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ژورنال
عنوان ژورنال: Computer Physics Communications
سال: 1981
ISSN: 0010-4655
DOI: 10.1016/0010-4655(81)90025-4