Abstract—This paper addresses the problem of execution time estimation for tasks in a software pipeline independent of the application structure or the underlying architecture. A...
Clusters of workstations have become a cost-effective means of performing scientific computations. However, large network latencies, resource sharing, and heterogeneity found in ...
Distributed Hash Tables (DHTs) and Random Peer Sampling (RPS) provide important and complementary services in the area of P2P overlay networks. DHTs achieve efficient lookup whil...
Multicore architectures featuring specialized accelerators are getting an increasing amount of attention, and this success will probably influence the design of future High Perfor...
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...