To simultaneously enable multiple autonomous driving services on affordable embedded
systems, we designed and implemented LoPECS, a Low-Power Edge Computing System …

In this paper, we analyze the robustness of 20 static, makespan-centric, DAG scheduling
heuristics of the literature. We also study if dynamically changing the order of the tasks on …

Heterogeneous architectures comprising a multicore CPU and many-core GPU (s) are
increasingly being used within cluster and cloud environments. In this paper, we study the …

PC clusters have recently received considerable interest as cost-effective parallel platforms
for CPU-intensive applications. A cluster of PCs generally comprises of a collection of …

To simultaneously enable multiple autonomous driving services on affordable embedded
systems, we designed and implemented {\pi}-Edge, a complete edge computing framework …

Supercomputing power is one of the fundamental pillars of the digital society, which
depends on the accurate scheduling of parallel applications in High-Performance …

High-Performance Computing systems rely on the software's capability to be highly
parallelized in individual computing tasks. However, even with a high parallelization level …

Fourth generation structured query languages can be used to aggregate scalars associated
with the nodes of a directed acyclic graph. Node tables, edge tables, and a transitive closure …

Distribution of the tasks amongst the various computing nodes is itself an intellectually
challenging problem in the high performance distributed computing systems. To choose the …

The architectural regularity of FPGAs provides an inherent redundancy which can be
exploited for fault tolerance and yield enhancement. In this paper we examine the problem …