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Graph models of social information systems typically contain trillions of edges. Such big graphs cannot beprocessed on a single machine. The graph object must bepartitioned and distributed among machines and processedin parallel on a computer cluster. Programming such systemsis very challenging. In this work, we present DH-Falcon, a graph DSL (domain-specific language) which can be usedto implement...
Molecular dynamics facilitates the simulation of a complex system to be analyzed at molecular and atomic levels. Simulations can last a long period of time, even months. Due to this cause the graphics processing units (GPUs) and multi-core systems are used as solutions to overcome this impediment. The current paper describes a comparison done between these two kinds of systems. The first system used...
Numerous problems in science and engineering involve discretizing the problem domain as a regular structured grid and make use of domain decomposition techniques to obtain solutions faster using high performance computing. However, the load imbalance of the workloads among the various processing nodes can cause severe degradation in application performance. This problem is exacerbated for the case...
Programming of high performance computing systems has become more complex over time. Several layers of parallelism need to be exploited to efficiently utilize the available resources. To support application developers and performance analysts we propose a technique for identifying the most performance critical optimization targets in distributed heterogeneous applications. We have developed CASITA,...
The Tri-Level parallel programming pattern of MPI+OpenMP+CUDA, which enables better speedup for applications on popular multi-core architecture cluster, is increasingly admired by research institutions and companies. The interaction of particles of molecular dynamics simulation needs extensive calculation, which will also increases with the extension of system. Therefore higher performance for the...
Sequential Monte Carlo simulation of pore networks, according to the Dual Site-Bond Model (DSBM) has been used successfully in the study of the structure and properties of porous media; these studies have a variety of applications (e.g. enhanced oil recovery, expedient gas storage, faster catalytic reactions, etc.) In the simplest form of DSBM, each pore is classified as a site or as a bond; the sites...
MapReduce is a very popular programming model to support parallel and distributed large-scale data processing. There have been a lot of efforts to implement this model on commodity GPU-based systems. However, most of these implementations can only work on a single GPU. And they can not be used to process large-scale datasets. In this paper, we present a new approach to design the MapReduce framework...
Nowadays, NVIDIA's CUDA is a general purpose scalable parallel programming model for writing highly parallel applications. It provides several key abstractions - a hierarchy of thread blocks, shared memory, and barrier synchronization. This model has proven quite successful at programming multithreaded many core GPUs and scales transparently to hundreds of cores: scientists throughout industry and...
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