Abstract- Multi-core task scheduling is a challenging problem with precedence constraint & non-preemptive task. The existing system uses heterogeneous dual-core scheduling as well as heterogeneous multi-core scheduling. In this paper we propose a new approach towards the heterogeneous multi-core scheduling with dispatcher schemas, where heterogeneous co-processor can be multiple means that one processor & multiple heterogeneous co-processors. The Processor is responsible for handling control signal & heterogeneous co-processor responsible for data computation. Because of multiple co-processors dispatcher is needed to determine which subtask dispatch to which co-processor. We will also implement migration policies. With different...
Heterogeneous many-core computing resources are increasingly popular among users due to their improv...
Task scheduling is critical in heterogenous systems, especially with the huge number of tasks tran...
In this paper, a programming model is presented which enables scalable parallel performance on multi...
In heterogeneous multi-core systems, the scheduling overhead increases as the number of processor co...
In recent years multiprocessor architectures have become mainstream, and multi-core processors are f...
This work presents the grouping of dependent tasks into a cluster using the Bayesian analysis model ...
Many-Task Computing (MTC) is a widely used computing paradigm for large-scale task-parallel processi...
Single-ISA heterogeneous multi-core processors trade-off power with performance; however, threads th...
Many-task computing (MTC) is a widely used computing paradigm for complex scientific applications, w...
Asymmetric or heterogeneous multi-core (AMC) architectures have definite performance, performance pe...
Computer architecture technology is moving towards more heteroge-neous solutions, which will contain...
Consider the problem of assigning real-time tasks on a heterogeneous multiprocessor platform compris...
International audienceWe study the problem of executing an application represented by a precedence t...
This paper aims at designing and implementing a scheduler model for heterogeneous multiprocessor arc...
Part 1: Algorithms, Scheduling, Analysis, and Data MiningInternational audienceMany-Task Computing (...
Heterogeneous many-core computing resources are increasingly popular among users due to their improv...
Task scheduling is critical in heterogenous systems, especially with the huge number of tasks tran...
In this paper, a programming model is presented which enables scalable parallel performance on multi...
In heterogeneous multi-core systems, the scheduling overhead increases as the number of processor co...
In recent years multiprocessor architectures have become mainstream, and multi-core processors are f...
This work presents the grouping of dependent tasks into a cluster using the Bayesian analysis model ...
Many-Task Computing (MTC) is a widely used computing paradigm for large-scale task-parallel processi...
Single-ISA heterogeneous multi-core processors trade-off power with performance; however, threads th...
Many-task computing (MTC) is a widely used computing paradigm for complex scientific applications, w...
Asymmetric or heterogeneous multi-core (AMC) architectures have definite performance, performance pe...
Computer architecture technology is moving towards more heteroge-neous solutions, which will contain...
Consider the problem of assigning real-time tasks on a heterogeneous multiprocessor platform compris...
International audienceWe study the problem of executing an application represented by a precedence t...
This paper aims at designing and implementing a scheduler model for heterogeneous multiprocessor arc...
Part 1: Algorithms, Scheduling, Analysis, and Data MiningInternational audienceMany-Task Computing (...
Heterogeneous many-core computing resources are increasingly popular among users due to their improv...
Task scheduling is critical in heterogenous systems, especially with the huge number of tasks tran...
In this paper, a programming model is presented which enables scalable parallel performance on multi...