Titlebook: Languages and Compilers for Parallel Computing; 22nd International W Guang R. Gao,Lori L. Pollock,Xiaoming Li Conference proceedings 2010 S

公共汽车

Hay-Fever

斗争

Automatically Tuning Parallel and Parallelized Programs,vement invariably rests with the developer. Automatic tuning uses static analysis and runtime performance metrics to determine the best possible compile-time approach for optimal application performance. This paper describes an offline tuning approach that uses a source-to-source parallelizing compi

Dappled

aspersion

Safe and Familiar Multi-core Programming by Means of a Hybrid Functional and Imperative Language,nter arithmetic nor function pointers but smart pointers/proxies (to implement polymorphism) as well as mixins and templates (to implement OO like code reuse) solves problem (2)..To cleanly integrate the two language cores, we propose a new integration model that even grants some restricted ways to

atopic

Hierarchical Place Trees: A Portable Abstraction for Task Parallelism and Data Movement,memory hierarchy rather than just explicit data transfer between adjacent levels, as well as dynamic task scheduling rather than static task assignment. Compared to X10, HPT provides a hierarchical notion of places for both computation and data mapping. We describe our work-in-progress on implementi

哪有黄油

OSCAR API for Real-Time Low-Power Multicores and Its Performance on Multicores and SMP Servers,ing), clock gating, and power gating for various embedded multicores. In addition, a parallelized program automatically generated by the OSCAR compiler with OSCAR API can be compiled by the ordinary OpenMP compilers since the OSCAR API is designed on a subset of the OpenMP. This paper describes the

Colonoscopy

Rebate

JAMB

Conference proceedings 2010ed. From the 52 submissions, the PC selected 25 full papers and 5 short paperstobeincludedintheworkshopproceeding,representinga58%acceptance rate. We were fortunate to have three keynote speeches, a panel discussion and a tutorial in this year’s workshop. First, Thomas Sterling, Professor of Compute