This paper surveys algorithms that allocate a parallel program represented by an edge-directed acyclic graph (DAG) based on homogenous processors. The objective is to minimize the execution time, evaluate and compare the performance of the indivuial algorithms and select the best algorithm. Different algorithms are analyzed and classified into four groups. The algorithm in first group schedule the DAG to bounded number of processor (BNP). The algorithm in second group schedule the DAG to unbounded number of processor (UNP).). The algorithm in third group schedule the DAG to task duplication based (TDB). The algorithm in the fourth group perform allocation and mapping on arbitrary processor network topologies (APN). BNP algorithm based upon ...
As we know there are different algorithms based on heterogeneous environment. Earliest finish time a...
Static scheduling of a program represented by a directed task graph on a multiprocessor system to mi...
International audienceThe scheduling of real-time parallel tasks on multiprocessor systems is more c...
Parallel computing is related to the application of many computers running in parallel to solve comp...
In this paper, we survey algorithms that allocate a parallel program represented by an edge-weighted...
Abstract 1 In this paper, we survey algorithms that allocate a parallel program represented by an ed...
The problem of scheduling a parallel program represented by a weighted directed acyclic graph (DAG) ...
The problem of scheduling a parallel program represented by a weighted directed acyclic graph (DAG) ...
Abstract † The problem of scheduling a weighted directed acyclic graph (DAG) to a set of homogeneous...
Abstract—Efficient task scheduling is essential for obtaining high performance in heterogeneous dist...
Task Scheduling problem for heterogeneous systems is concerned with arranging the various tasks to b...
In distributed computing, the schedule by which tasks are assigned to processors is critical to mini...
AbstractIn distributed computing, the schedule by which tasks are assigned to processors is critical...
Efficient application scheduling is critical for achieving high performance in heterogeneous computi...
Resource allocation in heterogeneous environment where machines provide different computational capa...
As we know there are different algorithms based on heterogeneous environment. Earliest finish time a...
Static scheduling of a program represented by a directed task graph on a multiprocessor system to mi...
International audienceThe scheduling of real-time parallel tasks on multiprocessor systems is more c...
Parallel computing is related to the application of many computers running in parallel to solve comp...
In this paper, we survey algorithms that allocate a parallel program represented by an edge-weighted...
Abstract 1 In this paper, we survey algorithms that allocate a parallel program represented by an ed...
The problem of scheduling a parallel program represented by a weighted directed acyclic graph (DAG) ...
The problem of scheduling a parallel program represented by a weighted directed acyclic graph (DAG) ...
Abstract † The problem of scheduling a weighted directed acyclic graph (DAG) to a set of homogeneous...
Abstract—Efficient task scheduling is essential for obtaining high performance in heterogeneous dist...
Task Scheduling problem for heterogeneous systems is concerned with arranging the various tasks to b...
In distributed computing, the schedule by which tasks are assigned to processors is critical to mini...
AbstractIn distributed computing, the schedule by which tasks are assigned to processors is critical...
Efficient application scheduling is critical for achieving high performance in heterogeneous computi...
Resource allocation in heterogeneous environment where machines provide different computational capa...
As we know there are different algorithms based on heterogeneous environment. Earliest finish time a...
Static scheduling of a program represented by a directed task graph on a multiprocessor system to mi...
International audienceThe scheduling of real-time parallel tasks on multiprocessor systems is more c...