Titlebook: Languages and Compilers for Parallel Computing; 15th Workshop, LCPC Bill Pugh,Chau-Wen Tseng Conference proceedings 2005 Springer-Verlag B

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Conquest

H. G. Dietz,T. I. Mattoxtrong municipal traditions, divided between city and countryside, and northern and southern parts. Forty per cent of the population lived in absolute poverty, and seventy-eight per cent were illiterate (Benini 1911). In 1861, the Casati Law and in 1877 the Coppino Law prescribed primary education fr

斗志

Memory-Constrained Communication Minimization for a Class of Array Computations,imensional arrays. The efficient computation of complex tensor contractions usually requires the generation of temporary intermediate arrays. These intermediates could be extremely large, but they can often be generated and used in batches through appropriate loop fusion transformations. To optimize

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身体萌芽

失望昨天

Compiler Analysis and Supports for Leakage Power Reduction on Microprocessors,icate architecture, compiler, and software participations can help reduce the switching activities (also known as dynamic power) on microprocessors. This raises interests on the issues to employ architecture and compiler efforts to reduce leakage power (also known as static power) on microprocessors

gregarious

adequate-intake

Compiler Optimizations with DSP-Specific Semantic Descriptions,sight into the DSP architecture and the specific semantics of DSP applications, a compiler would have trouble selecting appropriate special instructions to exploit advanced hardware features. In order to extract optimal performance from DSPs, we propose a set of user-specified directives called . (.

闪光东本

Combining Performance Aspects of Irregular Gauss-Seidel Via Sparse Tiling,s-Seidel. To improve performance, iterative smoothers can exploit parallelism, intra-iteration data reuse, and inter-iteration data reuse. Current methods for parallelizing Gauss-Seidel on irregular grids, such as multi-coloring and owner-computes based techniques, exploit parallelism and possibly i

overweight

A Hybrid Strategy Based on Data Distribution and Migration for Optimizing Memory Locality, (in addition to parallelism) are extremely important to extract the best performance from these architectures. The proposed solutions so far include OS-based automatic data migrations and compiler-based static/dynamic data distributions..This paper proposes and evaluates a hybrid strategy for optim