Modern GPUs are broadly adopted in many multitasking environments, including data centers and smartphones. However, the current support for the scheduling of multiple GPU kernels (from different applications) is limited, forming a major barrier for GPU to meet many practical needs. This work for the first time demonstrates that on existing GPUs, efficient preemptive scheduling of GPU kernels is...

In safety-critical applications, the use of advanced real-time scheduling techniques is significantly limited by the difficulty of finding tight estimations of worst-case execution parameters. This problem is further complicated by the use of cache memories, which reduce the predictability of the executing threads due to cache misses. In this paper, we analyze the effects of preemptions on wors...

We propose a unifying framework based on configuration linear programs and randomized rounding, for different energy optimization problems in the dynamic speed-scaling setting. We apply our framework to various scheduling and routing problems in heterogeneous computing and networking environments. We first consider the energy minimization problem of scheduling a set of jobs on a set of parallel...

In this paper we consider the non-preemptive variant of a multi-mode resource constrained project scheduling problem (MRCPSP) with mode identity, in which a set of project activities is partitioned into disjoint subsets while all activities forming one subset have to be processed in the same mode. We present a depth-first branch and bound algorithm for the resource constrained project schedulin...

The relative worst order ratio is a measure for the quality of online algorithms. Unlike the competitive ratio, it compares algorithms directly without involving an optimal offline algorithm. The measure has been successfully applied to problems like paging and bin packing. In this paper, we apply it to machine scheduling. We show that for preemptive scheduling, the measure separates multiple p...

This paper maintains that fixed-priority process-based preemptive scheduling is, arguably, more convenient, flexible and responsive than conventional cyclic scheduling for the construction of new-generation software-intensive satellite control systems. Predictable usage of preemptive priority-based scheduling, however, demands the support of mature static analysis techniques. Worst-case respons...

Due to their potential to deliver increased performance over single-core processors, multi-core processors have become mainstream in processor design. Computation-intensive real-time systems must exploit intra-task parallelism to take full advantage of multi-core processing. However, existing results in real-time scheduling of parallel tasks focus on restrictive task models such as the synchron...

Fixed-Priority Scheduling with Deferred Preemption (FPDS) is a middle ground between Fixed-Priority Preemptive Scheduling and Fixed-Priority Non-preemptive Scheduling, and offers advantages with respect to context switch overhead and resource access control. In this paper we present our work on extending the realtime operating system RTAI/Linux with support for FPDS. We give an overview of poss...

Fixed-Priority Scheduling with Deferred Preemption (FPDS) is a middle ground between Fixed-Priority Preemptive Scheduling and Fixed-Priority Non-preemptive Scheduling, and offers advantages with respect to context switch overhead and resource access control. In this paper we present our work on extending the realtime operating system RTAI/Linux with support for FPDS. We give an overview of poss...