HIPS-HPGC 2005 is a full-day workshop, focusing on high-performance grid computing and high-level parallel programming models. The papers deal with component models and service-based systems for grids, emphasizing on ...
HIPS-HPGC 2005 is a full-day workshop, focusing on high-performance grid computing and high-level parallel programming models. The papers deal with component models and service-based systems for grids, emphasizing on experiences with existing systems. Also the papers report on the state of the art of grid applications, both for academic and industrial problems
The proceedings contains 86 papers. Topics discussed include algorithms, parallelprocessing systems, program processors, computer software, genetic algorithms, optimization, computer architecture, data structures, di...
详细信息
The proceedings contains 86 papers. Topics discussed include algorithms, parallelprocessing systems, program processors, computer software, genetic algorithms, optimization, computer architecture, data structures, distributed computer systems, network protocols, state estimation, program debugging, large scale systems and data communication systems.
The proceedings contain 27 papers. The topics discussed include: actors programming for the mobile cloud;distributed implementation of constrained systems based on knowledge;parallel and distributed computing: memorie...
ISBN:
(纸本)9780769552651
The proceedings contain 27 papers. The topics discussed include: actors programming for the mobile cloud;distributed implementation of constrained systems based on knowledge;parallel and distributed computing: memories of time past and a glimpse at the future;a fair comparison of VM placement heuristics and a more effective solution;a GPU framework for sparse matrix vector multiplication;a parallel task-based approach to linear algebra;bid-centric cloud service provisioning;determining the optimal redistribution for a given data partition;enhancing throughput of scalable distributed two-layer data structures;from multitask to multicore: design and implementation using an RTOS;load balancing of java applications by forecasting garbage collections;and local linear time convergence of primal-dual energy minimization algorithm for parallelprocessing.
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