Parallel Hierarchical Matrices with Adaptive Cross Approximation on Symmetric Multiprocessing Clusters
نویسندگان
چکیده
منابع مشابه
Parallel Hierarchical Matrices with Adaptive Cross Approximation on Symmetric Multiprocessing Clusters
We discuss a scheme for hierarchical matrices with adaptive cross approximation on symmetric multiprocessing clusters. We propose a set of parallel algorithms that are applicable to hierarchical matrices. The proposed algorithms are implemented using the flat-MPI and hybrid MPI+OpenMP programming models. The performance of these implementations is evaluated using an electric field analysis comp...
متن کاملHierarchical MPI+OpenMP Implementation of Parallel PIC Applications on Clusters of Symmetric MultiProcessors
The hierarchical combination of decomposition strategies for the development of parallel Particle-in-cell simulation codes, targeted to hierarchical distributed-shared memory architectures, is discussed in this paper, along with its MPI+OpenMP implementation. Particular emphasis is given to the devised dynamic workload balancing technique.
متن کاملOptimizing Packet Capture on Symmetric Multiprocessing Machines
Traffic monitoring and analysis based on general purpose systems with high speed interfaces, such as Gigabit Ethernet and 10 Gigabit Ethernet, requires carefully designed software in order to achieve the needed performance. One approach to attain such a performance relies on deploying multiple processors. This work analyses some general issues in multiprocessor systems that are particularly cri...
متن کاملActive Memory Clusters: Efficient Multiprocessing on Commodity Clusters
We show how novel active memory system research and system networking trends can be combined to realize hardware distributed shared memory on clusters of industry-standard workstations. Our active memory controller extends the cache coherence protocol to support transparent use of address re-mapping techniques that dramatically improve single-node performance, and also contains the necessary fu...
متن کاملAdaptive data parallel computing on workstation clusters
Many real world problems can be categorised under the data parallel programming paradigm. Such problems can be solved in the workstation cluster environment, which is fast becoming a viable platform for parallel computing, by allocating each node a portion of data proportional to its computational capability. In the workstation cluster environment, workstations may be recalled by their primary ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Information Processing
سال: 2014
ISSN: 1882-6652
DOI: 10.2197/ipsjjip.22.642