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[PDF] Top 20 Modeling 1D distributed-memory dense kernels for an asynchronous multifrontal sparse solver

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Modeling 1D distributed-memory dense kernels for an asynchronous multifrontal sparse solver

Modeling 1D distributed-memory dense kernels for an asynchronous multifrontal sparse solver

... In multifrontal-based, asynchronous, distributed-memory sparse factoriza- tion methods, many dense frontal matrices may be factorized ...one dense factorization, depend- ... Voir le document complet

15

Some Experiments and Issues to Exploit Multicore Parallelism in a Distributed-Memory Parallel Sparse Direct Solver

Some Experiments and Issues to Exploit Multicore Parallelism in a Distributed-Memory Parallel Sparse Direct Solver

... Parallel sparse direct Solver) [3, 5] is a parallelized sparse matrix solver which is widely used by many research and commercial groups around the ...Interface) for distributed ... Voir le document complet

36

Memory and performance issues in parallel multifrontal factorizations and triangular solutions with sparse right-hand sides

Memory and performance issues in parallel multifrontal factorizations and triangular solutions with sparse right-hand sides

... and memory estimates strategies, once again emphasizing what is done in ...active memory in a sequen- tial context, and we formulate the parallel counterpart of this ...good memory scalability: we ... Voir le document complet

190

Introduction of shared-memory parallelism in a distributed-memory multifrontal solver

Introduction of shared-memory parallelism in a distributed-memory multifrontal solver

... approach for the solution of sparse systems of linear equations of the form Ax = b, (1) where A is a sparse matrix, b is the right-hand side vector (or matrix) and x is the unknown ...targeting ... Voir le document complet

39

Additive Kernels for Gaussian Process Modeling

Additive Kernels for Gaussian Process Modeling

... proposed for the estimation of additive ...GP modeling and do not usually provide additional information such as the pre- diction ...work. For the study functions that contain an additive part ... Voir le document complet

18

Precoding and Distributed STBC for Asynchronous Cooperative Diversity

Precoding and Distributed STBC for Asynchronous Cooperative Diversity

... 3. SIMULATIONS We consider a multipath channel which is frequency selective, we use a normalized power delay profile with an RMS delay spread of 0.9221 µsec, then a coherence bandwidth of 216.9 KHz. and we choose ... Voir le document complet

5

Asynchronous Consensus with Bounded Memory

Asynchronous Consensus with Bounded Memory

... Assuming a majority of correct processes, there is a randomized algorithm in asyn- chronous message passing with bounded memory. 5 Extensions We consider the classical k-set agreement decision task [10] in which ... Voir le document complet

13

Computability Abstractions for Fault-tolerant Asynchronous Distributed Computing

Computability Abstractions for Fault-tolerant Asynchronous Distributed Computing

... guaranteed for only one process); (b) in some scenarios, an op- eration that has been invoked by a process can (incorrectly) be applied twice, instead of just once; and (c) the last state of the copies (one ... Voir le document complet

115

Implementing multifrontal sparse solvers for multicore architectures with Sequential Task Flow runtime systems

Implementing multifrontal sparse solvers for multicore architectures with Sequential Task Flow runtime systems

... and an edge repre- sents a dependency between ...sary for the execution of a task (taking care of ensuring the coherency among multiple possible copies), triggers its execution and updates the state of the ... Voir le document complet

24

A NUMA Aware Scheduler for a Parallel Sparse Direct Solver

A NUMA Aware Scheduler for a Parallel Sparse Direct Solver

... parallel sparse direct solvers have made significant progress [1, 4, 6, ...of memory is often a bottleneck in these methods. To control memory overhead, the authors presented in [8] a method which ... Voir le document complet

23

Distributed Estimation and Optimization for Asynchronous Networks

Distributed Estimation and Optimization for Asynchronous Networks

... average for every ...with an exponential rate (and a bound on this rate is also characterized) under mild assump- ...tight for both our algorithm and existing ...As an application example, we ... Voir le document complet

189

Fine-Grained Multithreading for the Multifrontal QR Factorization of Sparse Matrices

Fine-Grained Multithreading for the Multifrontal QR Factorization of Sparse Matrices

... • d3: the panel operation can be executed on block-column i only if it is up-to-date with respect to panel i − 1; • d4: a block-column can be updated with respect to a panel i in its fro[r] ... Voir le document complet

31

Fine-Grained Multithreading for the Multifrontal QR Factorization of Sparse Matrices

Fine-Grained Multithreading for the Multifrontal QR Factorization of Sparse Matrices

... • d3: the panel operation can be executed on block-column i only if it is up-to-date with respect to panel i − 1; • d4: a block-column can be updated with respect to a panel i in its fro[r] ... Voir le document complet

32

MUltifrontal Massively Parallel Solver (MUMPS version 4.2 beta) user's guide

MUltifrontal Massively Parallel Solver (MUMPS version 4.2 beta) user's guide

... fully asynchronous approach with dynamic scheduling of the computational ...tasks. Asynchronous communication is used to enable overlapping between communication and ...reason for this choice is ... Voir le document complet

31

Efficient Agreement Protocols for Asynchronous Distributed Systems

Efficient Agreement Protocols for Asynchronous Distributed Systems

... of an agent once it moves to another ...in an asynchronous distributed system where failure detectors are sometimes unreliable, the generation of a new agent in case of prob- lems no more ... Voir le document complet

170

A NUMA Aware Scheduler for a Parallel Sparse Direct Solver

A NUMA Aware Scheduler for a Parallel Sparse Direct Solver

... scheduler. The second one builds a tree of tasks queue based on a proportional mapping over the local elimination tree. Thus, we obtain lists of tasks attached to different set of threads/cores on the architecture, as ... Voir le document complet

6

Sparse Supernodal Solver Using Block Low-Rank Compression

Sparse Supernodal Solver Using Block Low-Rank Compression

... supernodal solver with a purely algebraic ...our solver is able to find by itself suitable ranks to maintain a prescribed ...of sparse supernodal direct ...low-rank kernels in Section ...only ... Voir le document complet

11

Vascular system modeling in parallel environment - distributed and shared memory approaches.

Vascular system modeling in parallel environment - distributed and shared memory approaches.

... parallel modeling of vascular system development in internal ...are distributed among processors and each processor is responsible for perfusing its assigned parts of tissue to all vascular ...suited ... Voir le document complet

9

Combinatorial characterization of asynchronous distributed computability

Combinatorial characterization of asynchronous distributed computability

... color an odd number of maximal simplices of a subdivision using all the ...always an execution for which the output vector contains as many distinct values as in the input ... Voir le document complet

160

Mathematical study of perturbed asynchronous iterations designed for distributed termination

Mathematical study of perturbed asynchronous iterations designed for distributed termination

... The distributed termination of asynchronous iterative methods is one of the most complex problems related to the study of this class of ...presented an original distributed method in order to ... Voir le document complet

14

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