Dynamic Parallel Schedules (DPS) is a high-level framework for developing parallel applications on distributed memory computers (e.g. clusters of PCs). Its model relies on compositional customizable split-compute-merge graphs of operations (directed acyclic flow graphs). The graphs and the mapping of operations to processing nodes are specified dynamically at runtime. DPS applications are pipelined and multithreaded by construction, ensuring a maximal overlap of computations and communications. DPS applications can call parallel services exposed by other DPS applications, enabling the creation of reusable parallel components. The DPS framework relies on a C++ class library. Thanks to its dynamic nature, DPS offers new perspectives for the c...
Dynamic Programming (DP) algorithms are common targets for parallelization, and, as these algorithms...
Dynamically allocating computing nodes to parallel applications is a promising technique for improvi...
The paper presents an algorithm for scheduling parallel programs for execution in a parallel archite...
Abstract. Dynamic Parallel Schedules (DPS) is a flow graph based framework for developing parallel a...
Dynamic parallel schedules (DPS) is a flow graph based framework for developing parallel application...
AbstractA model for parallel and distributed programs, the dynamic process graph (DPG), is investiga...
10 pagesInternational audienceIn this paper we present an efficient algorithm for compile-time sched...
Commodity computer clusters are often composed of hundreds of computing nodes. These generally off-t...
Flow graphs provide an explicit description of the parallelization of an application by mapping vert...
Indian Institute of ScienceThis dissertation discusses the principles, techniques and approaches ado...
Dynamic model driven architecture (DMDA) is a architecture made to aid in the development of paralle...
Dynamically allocating computing nodes to parallel applications is a promising technique for improvi...
Emerging computational platforms enable a set of geographically distributed computers with different...
GPU devices are becoming a common element in current HPC platforms due to their high performance-per...
. The Distributed Processing Library (DPL) provides multiple processing services across heterogeneou...
Dynamic Programming (DP) algorithms are common targets for parallelization, and, as these algorithms...
Dynamically allocating computing nodes to parallel applications is a promising technique for improvi...
The paper presents an algorithm for scheduling parallel programs for execution in a parallel archite...
Abstract. Dynamic Parallel Schedules (DPS) is a flow graph based framework for developing parallel a...
Dynamic parallel schedules (DPS) is a flow graph based framework for developing parallel application...
AbstractA model for parallel and distributed programs, the dynamic process graph (DPG), is investiga...
10 pagesInternational audienceIn this paper we present an efficient algorithm for compile-time sched...
Commodity computer clusters are often composed of hundreds of computing nodes. These generally off-t...
Flow graphs provide an explicit description of the parallelization of an application by mapping vert...
Indian Institute of ScienceThis dissertation discusses the principles, techniques and approaches ado...
Dynamic model driven architecture (DMDA) is a architecture made to aid in the development of paralle...
Dynamically allocating computing nodes to parallel applications is a promising technique for improvi...
Emerging computational platforms enable a set of geographically distributed computers with different...
GPU devices are becoming a common element in current HPC platforms due to their high performance-per...
. The Distributed Processing Library (DPL) provides multiple processing services across heterogeneou...
Dynamic Programming (DP) algorithms are common targets for parallelization, and, as these algorithms...
Dynamically allocating computing nodes to parallel applications is a promising technique for improvi...
The paper presents an algorithm for scheduling parallel programs for execution in a parallel archite...