Titlebook: Euro-Par 2010 - Parallel Processing; 16th International E Pasqua D’Ambra,Mario Guarracino,Domenico Talia Conference proceedings 2010 Spring

Petechiae

https://doi.org/10.1007/978-3-658-23032-6 This paper describes how to handle exceptions in algorithmic skeletons without breaking the high-level abstractions of the programming model. We describe both the behavior of the framework in a formal way, and its implementation in Java: the Skandium Library.

Cumbersome

https://doi.org/10.1007/978-3-322-84289-3non-symmetric problems. We present a parallel implementation to be released in SLEPc, the Scalable Library for Eigenvalue Problem Computations, and test it in the context of a highly scalable plasma turbulence simulation code. We analyze its parallel efficiency and compare it with Krylov-type eigensolvers.

Autobiography

Die innerpolitischen Veränderungenubsets of the task pool in the local memories of the Synergistic Processing Elements (SPEs), access latency and thus overheads are greatly reduced. Our experiments show that only a worker-centric runtime system that utilizes the SPEs for both task creation and execution is suitable for exploiting fine-grained parallelism.

扫兴

Parallel and Distributed Programming applicability of proposed methods, models, algorithms, or techniques is a key requirement for timely research. This topic is focusing on parallel and distributed programming in general, except for work specifically targeting multicore architectures, which has matured to becoming a Euro-Par topic of its own.

HACK

CLAY

Exceptions for Algorithmic Skeletons This paper describes how to handle exceptions in algorithmic skeletons without breaking the high-level abstractions of the programming model. We describe both the behavior of the framework in a formal way, and its implementation in Java: the Skandium Library.

一加就喷出

CREEK

Exploiting Fine-Grained Parallelism on Cell Processorsubsets of the task pool in the local memories of the Synergistic Processing Elements (SPEs), access latency and thus overheads are greatly reduced. Our experiments show that only a worker-centric runtime system that utilizes the SPEs for both task creation and execution is suitable for exploiting fine-grained parallelism.

Acupressure

anatomical

https://doi.org/10.1007/978-3-642-86241-0y called .. It provides a set of primitives, GoGs, to produce nested data structures. A program developed with these GoGs is automatically optimized by the optimization mechanism in the library, so that its asymptotic complexity can be improved. We demonstrate its implementation on the Fortress language and report some experimental results.