This paper presented a static scheduling heuristic called best-imaginary-level(BIL) scheduling for heterogeneous processors. The input graph is an acyclic precedence graph, where a node has different execution times on different processors. The static level of a node, or BIL, incorporates the effect of interprocessor communication (IPC) overhead and processor heterogeneity. The proposed scheduling technique is proven to produce the optimal scheduling result if the topology of the input task graph is linear. The proposed scheduling is expected to be applicable to the large span of target architectures from the network computing to the hardware/software codesign
In this paper, we consider static scheduling techniques for heterogeneous systems, such as clusters ...
International audienceWe consider the problem of allocating a large number of independent, equal-siz...
Static scheduling of a program represented by a directed task graph on a multiprocessor system to mi...
Scheduling computation tasks on processors is a key issue for high-performance computing. Although a...
(eng) Scheduling computational tasks on processors is a key issue for high-performance computing. Al...
Scheduling computational tasks on processors is a key issue for high-performance computing. Although...
Abstract—Efficient task scheduling is essential for obtaining high performance in heterogeneous dist...
There has been a recent increase of interest in heterogeneous computing systems, due partly to the f...
Efficient application scheduling is critical for achieving high performance in heterogeneous computi...
Efficient task scheduling is essential for obtaining high performance in heterogeneous distributed c...
International audienceWe propose a new algorithm, called SPAGHETtI, for static scheduling tasks on a...
In this paper, we consider static scheduling techniques for heterogeneous systems, such as clusters ...
(eng) In this paper, we consider the execution of a complex application on a heterogeneous "grid" co...
The main objective of task scheduling is to assign tasks onto available processors with the aim of p...
This paper investigates static job scheduling schemes that distribute workload in a network of compu...
In this paper, we consider static scheduling techniques for heterogeneous systems, such as clusters ...
International audienceWe consider the problem of allocating a large number of independent, equal-siz...
Static scheduling of a program represented by a directed task graph on a multiprocessor system to mi...
Scheduling computation tasks on processors is a key issue for high-performance computing. Although a...
(eng) Scheduling computational tasks on processors is a key issue for high-performance computing. Al...
Scheduling computational tasks on processors is a key issue for high-performance computing. Although...
Abstract—Efficient task scheduling is essential for obtaining high performance in heterogeneous dist...
There has been a recent increase of interest in heterogeneous computing systems, due partly to the f...
Efficient application scheduling is critical for achieving high performance in heterogeneous computi...
Efficient task scheduling is essential for obtaining high performance in heterogeneous distributed c...
International audienceWe propose a new algorithm, called SPAGHETtI, for static scheduling tasks on a...
In this paper, we consider static scheduling techniques for heterogeneous systems, such as clusters ...
(eng) In this paper, we consider the execution of a complex application on a heterogeneous "grid" co...
The main objective of task scheduling is to assign tasks onto available processors with the aim of p...
This paper investigates static job scheduling schemes that distribute workload in a network of compu...
In this paper, we consider static scheduling techniques for heterogeneous systems, such as clusters ...
International audienceWe consider the problem of allocating a large number of independent, equal-siz...
Static scheduling of a program represented by a directed task graph on a multiprocessor system to mi...