the GraphBLAS are building blocks for expressing graph algorithms in terms of linear algebra. Currently, the GraphBLAS are defined as a C API. Implementations of the GraphBLAS have exposed limitations in expressivenes...
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As HPC progresses toward exascale, writing applications that are highly efficient, portable, and support programmer productivity is becoming more challenging than ever. the growing scale, diversity, and heterogeneity ...
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ISBN:
(纸本)9781665422840
As HPC progresses toward exascale, writing applications that are highly efficient, portable, and support programmer productivity is becoming more challenging than ever. the growing scale, diversity, and heterogeneity in compute platforms increases the burden on software to efficiently use available distributedparallel resources. this burden has fallen on developers who, increasingly, are experts in application domains rather than traditional computer scientists and engineers. We propose CASPER-Compiler Abstractions Supporting high Performance on Extreme-scale Resources-a novel domain-specific compiler and runtime framework to enable domain scientists to achieve high performance and scalability on complex HPC systems. CASPER extends domain-specific languages with machine learning to map software tasks to distributed, heterogeneous resources, and provides a runtime framework to support a variety of adaptive optimizations in dynamic environments. this paper presents an initial design and analysis of CASPER for synthetic aperture radar and computational fluid dynamics domains.
In this work, we propose and study heuristics for parallel jobs execution and efficient resources co-allocation in heterogeneous computing environments. Existing modern job- flow execution features and realities impos...
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Withthe rapid growth of IoT devices, the traditional cloud computing scheme is inefficient for many IoT based applications, mainly due to network data flood, long latency, and privacy issues. To this end, the edge co...
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ISBN:
(纸本)9781728159430
Withthe rapid growth of IoT devices, the traditional cloud computing scheme is inefficient for many IoT based applications, mainly due to network data flood, long latency, and privacy issues. To this end, the edge computing scheme is proposed to mitigate these problems. However, in an edge computing system, the application development becomes more complicated as it involves increasing levels of edge nodes. Although some efforts have been introduced, existing edge computing frameworks still have some limitations in various application scenarios. To overcome these limitations, we propose a new programming model called Edge-Stream. It is a simple and programmer-friendly model, which can cover typical scenarios in edge-computing. Besides, we address several new issues, such as data sharing and area awareness, in this model. We also implement a prototype of edge-computing framework based on the Edge-Stream model. A comprehensive evaluation is provided based on the prototype. Experimental results demonstrate the effectiveness of the model.
this paper addresses the questions of high-level system modelling using heterogeneous multi-tool modelling environment on parallel multi-core processing systems for simulation acceleration. the modelling technique has...
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this paper addresses the questions of high-level system modelling using heterogeneous multi-tool modelling environment on parallel multi-core processing systems for simulation acceleration. the modelling technique has been applied for high-level validation of a high-precision Indoor Positioning System for Motion Analysis (IPS-MA) developed in the Central Institute Electronic Systems (ZEA-2) of the Research Center Juelich GmbH. the heterogeneous modelling environment has been built using an implementation-level model designed in Matlab Simulink, a verification model for describing the system environment using Modelica language, and Julia language for automatic generation of binding modelling environment and parallelizing the simulation of the overall model. the approach showed a good flexibility in system description and verification in the multi-instrument modelling environment and a good performance gain due to simulation parallelism.
these are the proceedings of the “29th Heterogeneity in Computing Workshop,” also known as HCW 2020. A few years ago, the title of the workshop was changed from the original title of “Heterogeneous Computing Works...
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ISBN:
(数字)9781728174457
ISBN:
(纸本)9781728174570
these are the proceedings of the “29th Heterogeneity in Computing Workshop,” also known as HCW 2020. A few years ago, the title of the workshop was changed from the original title of “Heterogeneous Computing Workshop” to reflect the breadth of the impact of heterogeneity, as well as to stress that the focus of the workshop is on the management and exploitation of heterogeneity. All of this is, of course, taken in the context of the parent conference, the International parallel and distributedprocessingsymposium (IPDPS), and so explores heterogeneity in parallel and distributed computing systems.
the purpose of this work was to get acquainted with wireless communication technologies and the information security challenges they create from the viewpoint of 5G and its preceding technologies. 5th Generation (5G) ...
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