Add to ORKGEver-increasing core counts create the need to develop parallel algorithms that avoid closely-coupled execution across cores. In this paper we present two case studies investigating the performance of several parallel asynchronous implementations of Jacobi's method for solving systems of linear equations. Although conditions for the convergence of asynchronous Jacobi are well known, what drives its rate of convergence is less well understood. The first case study investigates the algorithm's performance when executed on large numbers of processors on a Cray XE6, while the second explores the effect of varying the number of synchronous and asynchronous processors. We observe that the performance of parallel asynchronous Jacobi is highly impl...
International audienceIterative asynchronous parallel methods are nowadays gaining renewed interest ...
Asynchronous methods for solving systems of linear equations have been researched since Chazan and M...
This paper describes a methodology and tools to analyze and optimize the performance of task-based p...
Ever-increasing core counts create the need to develop parallel algorithms that avoid closely-couple...
Ever-increasing core counts create the need to develop parallel algorithms that avoid closely- coupl...
Ever-increasing core counts create the need to develop parallel algorithms that avoid closely-couple...
Ever-increasing core counts create the need to develop parallel algorithms that avoid closely couple...
The directed acyclic graph (DAG) associated with a parallel al- gorithm captures the order in which ...
Elsner L, Neumann M. Monotonic sequences and rates of convergence of asynchronized iterative methods...
AbstractIn a recent paper B. Vemmer and the authors investigated the effect of varying the number of...
The directed acyclic graph (DAG) associated with a parallel al-gorithm captures the order in which s...
AbstractIn this paper we present two efficient algorithms for the parallel solution of n × n dense l...
Elsner L, Neumann M, Vemmer B. The effect of the number of processors on the convergence of the para...
Asynchronous iterations arise naturally on parallel computers if one wants to minimize idle times. T...
It is well known that synchronization and communication delays are the major sources of performance ...
International audienceIterative asynchronous parallel methods are nowadays gaining renewed interest ...
Asynchronous methods for solving systems of linear equations have been researched since Chazan and M...
This paper describes a methodology and tools to analyze and optimize the performance of task-based p...
Ever-increasing core counts create the need to develop parallel algorithms that avoid closely-couple...
Ever-increasing core counts create the need to develop parallel algorithms that avoid closely- coupl...
Ever-increasing core counts create the need to develop parallel algorithms that avoid closely-couple...
Ever-increasing core counts create the need to develop parallel algorithms that avoid closely couple...
The directed acyclic graph (DAG) associated with a parallel al- gorithm captures the order in which ...
Elsner L, Neumann M. Monotonic sequences and rates of convergence of asynchronized iterative methods...
AbstractIn a recent paper B. Vemmer and the authors investigated the effect of varying the number of...
The directed acyclic graph (DAG) associated with a parallel al-gorithm captures the order in which s...
AbstractIn this paper we present two efficient algorithms for the parallel solution of n × n dense l...
Elsner L, Neumann M, Vemmer B. The effect of the number of processors on the convergence of the para...
Asynchronous iterations arise naturally on parallel computers if one wants to minimize idle times. T...
It is well known that synchronization and communication delays are the major sources of performance ...
International audienceIterative asynchronous parallel methods are nowadays gaining renewed interest ...
Asynchronous methods for solving systems of linear equations have been researched since Chazan and M...
This paper describes a methodology and tools to analyze and optimize the performance of task-based p...