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This paper describes vCUDA, a GPGPU (General Purpose Graphics Processing Unit) computing solution for virtual machines. vCUDA allows applications executing within virtual machines (VMs) to leverage hardware acceleration, which can be beneficial to the performance of a class of high performance computing (HPC) applications. The key idea in our design is: API(More)
This paper addresses the problems in scheduling a precedence constrained tasks of parallel application with random tasks processing time and edges communication time on Grid computing systems so as to minimize the makespan in stochastic environment. This is a difficult problem and few efforts have been reported on its solution in the literature. The problem(More)
In the past few years, with the rapid development of heterogeneous computing systems (HCS), the issue of energy consumption has attracted a great deal of attention. How to reduce energy consumption is currently a critical issue in designing HCS. In response to this challenge, many energy-aware scheduling algorithms have been developed primarily using the(More)
The previous works about MapReduce task scheduling with deadline constraints neither take the diffenences of Map and Reduce task, nor the cluster's heterogeneity into account. This paper proposes an extensional MapReduce Task Scheduling algorithm for Deadline constraints in Hadoop platform: MTSD. It allows user specify a job's deadline and tries to make the(More)
Efficient application scheduling is critical for achieving high performance in heterogeneous computing (HC) environments. Because of its importance, there are many researches on this problem and various algorithms have been proposed. Duplication-based algorithm is a kind of famous algorithm to solve scheduling problem, which achieve high performance on(More)
Multi-core processors, are being implemented in embedded real-time systems because of the increasing computational requirements. And as the demand for concurrent processing and increased energy efficiency grows, power management is now of primary importance. This paper tackles the problem of reducing power consumption for multi-core embedded real-time(More)
The growth of energy consumption has been explosive in current data centers, super computers, and public cloud systems. This explosion has led to greater advocacy of green computing, and many efforts and works focus on the task scheduling in order to reduce energy dissipation. In order to obtain more energy reduction as well as maintain the quality of(More)
In this paper, we address the problem of energy-aware heterogeneous data allocation and task scheduling on heterogeneous multiprocessor systems for real-time applications. In a heterogeneous distributed shared-memory multiprocessor system, an important problem is how to assign processors to real-time application tasks, allocate data to local memories, and(More)