Parallel performance optimization is being applied and further improvements are studied for parallel linear algebra on clusters. Several parallelization guidelines have been defined and are being used on single clusters and local area networks used for parallel computing. In this context, some linear algebra parallel algorithms have been implemented following the parallelization guidelines, and experimentation has shown very good performance. Also, the parallel algorithms outperform the corresponding parallel algorithms implemented on ScaLAPACK (Scalable LAPACK), which is considered to have highly optimized parallel algorithms for distributed memory parallel computers. Also, using more than a single cluster or local area network for paralle...
In this document, we describe two strategies of distribution of computations that can be used to imp...
This paper presents a package, called Heterogeneous PBLAS (HeteroPBLAS), which is built on top of PB...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
Parallel performance optimization is being applied and further improvements are studied for parallel...
In this thesis, parallel computing on installed local area networks (LAN) is focused, analyzing prob...
Matrix multiplication is taken as a test bed for parallel processing on heterogeneous networks of wo...
The growing processing power of standard workstations, along with the relatively easy way in which t...
Parallel computing on networks of workstations are intensively used in some application areas such a...
Thesis (Ph.D.), School of Electrical Engineering and Computer Science, Washington State UniversityPa...
This paper discusses the design of linear algebra libraries for high performance computers. Particul...
This dissertation details contributions made by the author to the field of computer science while wo...
This paper presents a self-optimization methodology for parallel linear algebra rou-tines on heterog...
The aim of data and task parallel scheduling for dense linear algebra kernels is to minimize the pro...
Parallel computing on networks of workstations are intensively used in some application areas such a...
Two issues in linear algebra algorithms for multicomputers are addressed. First, how tounify paralle...
In this document, we describe two strategies of distribution of computations that can be used to imp...
This paper presents a package, called Heterogeneous PBLAS (HeteroPBLAS), which is built on top of PB...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
Parallel performance optimization is being applied and further improvements are studied for parallel...
In this thesis, parallel computing on installed local area networks (LAN) is focused, analyzing prob...
Matrix multiplication is taken as a test bed for parallel processing on heterogeneous networks of wo...
The growing processing power of standard workstations, along with the relatively easy way in which t...
Parallel computing on networks of workstations are intensively used in some application areas such a...
Thesis (Ph.D.), School of Electrical Engineering and Computer Science, Washington State UniversityPa...
This paper discusses the design of linear algebra libraries for high performance computers. Particul...
This dissertation details contributions made by the author to the field of computer science while wo...
This paper presents a self-optimization methodology for parallel linear algebra rou-tines on heterog...
The aim of data and task parallel scheduling for dense linear algebra kernels is to minimize the pro...
Parallel computing on networks of workstations are intensively used in some application areas such a...
Two issues in linear algebra algorithms for multicomputers are addressed. First, how tounify paralle...
In this document, we describe two strategies of distribution of computations that can be used to imp...
This paper presents a package, called Heterogeneous PBLAS (HeteroPBLAS), which is built on top of PB...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...