[PDF] Top 20 Easing parallel programming on heterogeneous systems

... PGAS programming models is Chapel ...rely on non-aggregate communications when the whole set of data accessed by an expression is not fully allocated in the same remote processor, generating many ... See full document

... frequency systems is monitored and the partition is adapted periodically, however a residual imbalance is tolerated in order to avoid an excessive overhead produced by the balance ...frequency systems ... See full document

... implemented on top of two different ...Integrated Systems Laboratory (LSI), at the Universidad Polit´ ecnica de Madrid, are related to the work proposed in this ...to systems based on FPGAs ... See full document

... the heterogeneous implementations they did not obtain speed-ups on their ...tasks on heterogeneous architectures, they also provide programming li- braries that include an API to select ... See full document

... protocol on writes [70] in order to keep a single coherent ...operates on disjoint parts of its data, unless of course if the Array is only a read-only input to all these ... See full document

... homogeneous parallel systems has not come up with a unique and common way of evaluation, although the isoefficiency metric [3] is the most accepted and ...size on the number of processors needed to ... See full document

... obtain parallel applications. So parallel computers represent the natural architecture where CA applications might be ...CA programming model coming from the possibility to execute the transition ... See full document

... experiences on the application of a grid portal to support the teaching of a course were found, but a few projects focused on setting up a grid infrastructure for teaching purposes, such as ISILab [11] and ... See full document

... for parallel computing. The in- creasing interest in Java as the programming language of the multi-core era de- mands scalable performance on hybrid architectures (with both shared and distrib- uted ... See full document

... tion systems, traffic simulations, tramp steamer problem, courier-scheduling optimization, Internet route planners, web searching, or exploiting arbitrage opportunities in currency exchange, among ...efficient ... See full document

... for parallel applications that employ PVM-W95 (PVM for Windows) as well as PVM for ...about parallel virtual machine configuration, parallel applications and workload from each ...17,0% on ... See full document

... Parallel coarse-grained function: The second one (wrapper xphi ##name) performs the offloaded coarse-grained parallel computation. It receives a vari- able number of parameters. The first one is the ... See full document

... widespread programming framework to deal with heteroge- neous devices is OpenCL ...rely on OpenCL as execution layer, typically inherit some of these problems (see ...built on top of OpenCL is the ... See full document

... explicit parallel constructions that use the concept of kernel and launching in an abstract an elegant ...the programming with generic and portable kernels, and at the same time the integration of higher ... See full document

... of heterogeneous environments to execute massively- parallel problems, there are two issues that limit the usability of these ...different programming languages or tools [7, ...writing ... See full document

... our parallel algorithm implementation, using three parallel programming models and giving an overview of the heat algorithm behavior in each of our parallel im- ...MPI on distributed ... See full document

... So far we have implemented single threaded application programs. There were several threads launched but only one per process. This has noticeable limitations when the program is intended to run in multicore ... See full document

... STM systems [12] focused on the conflicts occur- ring among different ...dependent on the fairness of the GPU scheduler: work-groups waiting for a lock can swap the work-group holding a lock repeat- ... See full document

... performance on Ethernet-based ...account on these algorithms for balance computing workload and a low-performance, local area oriented interconnection network is always ...quality on a greater number ... See full document

... GPU programming: CUDA Programming ...highly parallel computer for non-graphics ...of programming are detailed in this chapter, its generalities, data transfers types, organization of CUDA ... See full document