Many graph algorithms are iterative in nature and can be supported by distributed memory-
based systems in a synchronous manner. However, an asynchronous model has been …

As the exascale era approaches, the increasing capacity of high-performance computing
(HPC) systems with targeted power and energy budget goals introduces significant …

The popularization of multimedia content on the Web has arised the need to automatically
understand, index and retrieve it. In this paper we present ViTS, an automatic Video Tagging …

As the exascale era approaches, the increasing capacity of high-performance computing
(HPC) systems with targeted power and energy budget goals introduces significant …

Handling faults is a growing concern in HPC; higher error rates, larger detection intervals
and silent faults are expected in the future. It is projected that, in exascale systems, errors …

Handling faults is a growing concern in HPC. In future exascale systems, it is projected that
silent undetected errors will occur several times a day, increasing the occurrence of …

As parallel machines increase their number of processors, so does the failure rate of the
global system, thus, long-running applications will need to make use of fault tolerance …

Complexity and scale of next generation HPC systems pose significant challenges in fault
resilience methods such that contemporary checkpoint/restart (C/R) methods that address …

In this paper we propose a runtime-based selective task replication technique for task-
parallel high performance computing applications. Our selective task replication technique is …

We present a modular and scalable approach for automatically extracting actual
performance information from a set of FPGA-based architecture topologies. This information …