Titlebook: High Performance Computing; Third Latin American Carlos Jaime Barrios Hernández,Isidoro Gitler,Jaim Conference proceedings 2017 Springer In

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武器

Mortal

Glycogen

Efficient P2P Inspired Policy to Distribute Resource Information in Large Distributed Systemsncreasing adoption of Cloud Technology and the establishment of Federations of cloud providers..These large interconnected systems require monitoring at different levels of the infrastructure: from the availability of hardware resources to the effective provision of services and verification of term

Infusion

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Communication-Aware Affinity Scheduling Heuristics in Multicore Systemsling is a technique that allows efficient utilization of heterogeneous computing systems, by assigning a set of tasks to cores, taking into account specific efficiency and quality-of-service criteria. The heuristics proposed in this article are useful methods to solve realistic instances of the comm

绑架

梯田

Accelerating All-Sources BFS Metrics on Multi-core Clusters for Large-Scale Complex Network Analysisness centrality. However, AS-BFS calculations involve as many full BFS traversals as the total number of vertices, rendering AS-BFS impractical on commodity systems for real-world graphs with millions of vertices and links. In this paper we present our experience with the acceleration of AS-BFS grap

GRIPE

Exploration of Load Balancing Thresholds to Save Energy on Iterative Applicationsre energy. In response to this challenge, we proposed two variants of a new energy-aware load balancer that aim at reducing the energy consumption of parallel platforms running imbalanced scientific applications without degrading their performance. Our research combines Dynamic Load Balancing with D

Proponent

Design of a Task-Parallel Version of ILUPACK for Graphics Processorsn, many libraries have been developed among which ILUPACK stands out due to its efficient inverse-based multilevel preconditioner. Several parallel versions of ILUPACK have been proposed in the past. In particular, two task-parallel versions, for shared and distributed memory platforms, and a GPU ac