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2nd IEEE International Conference on High Performance and Smart Computing (IEEE HPSC)

作者： Liu, QingKai Zhao, WeiBo Cheng, Jie Mo, ZeYao Zhang, AiQing Liu, JianJun Inst Appl Phys & Computat Math CAEP Software Ctr High Performance Numer Simulat Beijing Peoples R China

ISBN: (纸本)9781509024032

The performance of parallel computers grows rapidly. However, application software is lagging behind due to two bottlenecks: "performance wall" and "programmability wall". These bottlenecks have prevented a lot of application software from achieving good performance and fast development. programming framework is considered an effective approach to overcome the above bottlenecks. In this paper, we give a prototype of JAUMIN, which is a programming framework for large scale application software based on unstructured mesh. Some important technologies of JAUMIN will be presented, including distributed data structures, data communication patterns and application programming interfaces. Finally, some applications based on JAUMIN will be demonstrated to show that JAUMIN can accelerate the development of application software greatly and support effective simulation on petascale supercomputer.

关键词： numerical simulation parallel computing JAUMIN programming framework unstructured mesh

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TGLite: A Lightweight programming framework for Continuous-Time Temporal Graph Neural Networks 24

TGLite: A Lightweight Programming Framework for Continuous-T...

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29th ACM International Conference on Architectural Support for programming Languages and Operating Systems (ASPLOS)

作者： Wang, Yufeng Mendis, Charith Univ Illinois Champaign IL 61820 USA

ISBN: (纸本)9798400703850

In recent years, Temporal Graph Neural Networks (TGNNs) have achieved great success in learning tasks for graphs that change over time. These dynamic/temporal graphs represent topology changes as either discrete static graph snapshots (called DTDGs), or a continuous stream of timestamped edges (called CTDGs). Because continuous-time graphs have richer time information, it will be crucial to have abstractions for programming CTDG-based models so that practitioners can easily explore new designs and optimizations in this space. A few recent frameworks have been proposed for programming and accelerating TGNN models, but these either do not support continuous-time graphs, lack easy composability, and/or do not facilitate CTDG-specific optimizations. In this paper, we propose a lightweight framework called TGLite to fill this apparent gap in the status quo. It provides abstractions that serve as composable building blocks for implementing TGNN models for CTDGs. It introduces a novel TBlock representation for capturing message-flow dependencies between nodes, with explicit support for temporal-related attributes, which is well-suited for common TGNN computation patterns. TBlocks serve as a central representation on which many different operators can be defined, such as temporal neighborhood sampling, scatter/segmented computations, as well as optimizations tailored to CTDGs. We use TGLite to implement four existing TGNN models. Compared to the TGL framework, TGLite is able to accelerate runtime performance of training (1.06 - 3.43x) and inference (1.09 - 4.65x) of these models on V100 and A100 GPUs across different experimental settings. Notably, when scaling to larger datasets, TGL runs out-of-memory in some cases on the V100 while TGLite is able to run successfully.

关键词： Temporal Graph Neural Networks Dynamic Graphs programming framework Data Abstractions

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Towards an Object Oriented programming framework for Parallel Matrix Algorithms 14

Towards an Object Oriented Programming Framework for Paralle...

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International Workshop on Parallel Optimization using/for Multi and Many-Core High Performance Computing (POMCO) in conjunction with 14th International Conference on High Performance Computing and Simulation (HPCS)

作者： Kutil, Rade Salzburg Univ Dept Comp Sci A-5020 Salzburg Austria

ISBN: (纸本)9781509020881

A C++ programming framework (Slabber) is introduced which supports matrix algorithms on distributed and shared memory parallel architectures in an object oriented way. It has the following goals: First, the algorithm implementation should be as convenient as possible by making parallelization details transparent to the algorithm implementation. Second, the choice of architecture (MPI or threads) and the choice of data distribution must not require changing or adapting the algorithm. These goals are achieved by a new approach to decompose matrix operations such as the matrix multiplication into communication free sub-operators, and letting the framework take care of data redistributions between those sub-operators. As a usage example, an iterative algorithm for the non-negative matrix decomposition is implemented using the framework, serving as a usage tutorial and performance test. The results are promising and improve over a straight forward ScaLapack implementation while providing a much cleaner and easier algorithm formulation.

关键词： programming framework MPI multi-core matrix automatic parallelization

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A novel programming framework for architecting next generation enterprise scale information systems

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INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT 2017年第2期15卷 489-534页

作者： Venkatesan, D. Sridhar, S. Anna Univ Dept Informat Technol BIT Campus Tiruchirappalli 620024 Tamil Nadu India Anna Univ Dept Informat Sci & Technol Madras Tamil Nadu India

The increasing popularity and usage of internet based services makes design of software system complex and their power unlimited in scale. These systems often involve heterogeneous environment and platforms. They continuously evolve in order to meet the changes in technology and business practices. Emergence of information system architecture based on disparate externally provided internet based services warrant incorporation of novel design primitives in the application design. Traditionally popular application design primitives includes separation, abstraction, compression, uniform composition, replication and resource sharing that has evolved and came to vogue based on past experience and expert practice. This work examines and evaluates approaches to incorporation of new and novel unit operations around which applications can be architected, designed and analyzed for the internet computing and big data era. Incidentally it is found that portions of agent technology provides several unit operations such as migration of code and speech-act based responsibility delegation/application composition as application architectural primitives. This work determines extensions to Web Services-Business Process Execution Language (WS-BPEL) programming framework-called as ACtive Internet Application framework (ACIAF) and is suited for incorporation of novel unit operations such as migration of code and speech-act based component orchestration/application composition to enable construction of next generation information systems. An analysis of merits and demerits of using WS-BPEL technology to realize ACIAF is also carried out here. Code mobility feature of ACIAF is demonstrated using a use case while loosely coupled application design using ACIAF is theoretically discussed. Formal analyzability of mobility behavior of ACIAF application is highlighted based on its conformance to Petri-net formalism. Further formal logical analyzability/interpolatability of individual actions per

关键词： Application architecture Work flow Migratable web service Data processing Loosely coupled system design programming framework WS-BPEL

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EPF4M: An Evolution-Oriented programming framework for Microservices

EPF4M: An Evolution-Oriented Programming Framework for Micro...

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IEEE International Conference on Services Computing (SCC)

作者： Wang, Teng He, Xiang Xu, Hanchuan Tu, Zhiying Wang, Zhongjie Harbin Inst Technol Fac Comp Harbin Peoples R China

ISBN: (纸本)9781665416832

In the past few years, microservice architecture has become a dominant software development and deployment paradigm and has aroused interest from both academia and industry. Although the microservice architecture has many advantages, it still faces some challenges. Due to the mobility and changing needs of users, microservice systems (MSS) need to continuously evolve to ensure that the Quality of Service (QoS) perceived by users remains at a satisfactory level. Besides, because of the complexity of MSS constituted by plenty of microservices and users, it is difficult for developers to evolve the MSS manually, and automatic evolutionary adaptability is necessary. However, existing technologies do not well support the automatically adaptive evolution of MSS. To meet this challenge, this paper summarizes common abilities that are necessary for automatically adaptive evolution in MSS, including monitor system runtime status, generate an evolution plan and execute an evolution plan, and an Evolution-Oriented programming framework for Microservices (EPF4M) is designed to support individual microservices to achieve those abilities. Considering both the development cost and operational efficiency of microservices, EPF4M is implemented by lightweight methods in Java, including annotations. Experiments are carried out to verify the usability of the functions provided by EPF4M and compare an MSS before and after using EPF4M to demonstrate the acceptability of the additional cost of EPF4M for MSS development and operation. An example is also presented to illustrate the performance of EPF4M in adaptive evolution.

关键词： Microservice Systems Quality of Services (QoS) Self Adaptation programming framework

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Development of PLC programming framework integrated with motion control software module 14

Development of PLC programming framework integrated with mot...

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14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

作者： Han, Jae-Seong Kim, Kwangjin CEMWARE Inc Seoul 08826 South Korea

ISBN: (纸本)9781509030569

In this paper, we suggest an PLC programming framework integrated with motion control software module. Our programming framework is characterized with the following features. Firstly, the framework provides programming environment for motion control codes. Secondly, the PLC program can be composed and edited by the use of pre-implemented software modules. Finally, we implemented the framework and validated by programming and executing a motor control code.

关键词： Programmable Logic Controllers function blocks programming framework motor control

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Tapas: An Implicitly Parallel programming framework For Hierarchical N-body Algorithms 22

Tapas: An Implicitly Parallel Programming Framework For Hier...

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22nd IEEE International Conference on Parallel and Distributed Systems (ICPADS)

作者： Fukuda, Keisuke Matsuda, Motohiko Maruyama, Naoya Yokota, Rio Taura, Kenjiro Matsuoka, Satoshi RIKEN Adv Inst Computat Sci Kobe Hyogo Japan Tokyo Inst Technol Tokyo Japan Univ Tokyo Tokyo Japan

ISBN: (纸本)9781509044573

Tapas is our new C++ programming framework for hierarchical algorithms such as N-body, on large scale heterogeneous supercomputers. Although N-body and their variants are widely used in scientific applications, their correct implementations are often difficult on such modern machines, as the algorithms are irregular, complex, and involve explicit task parallel programming over distributed nodes. Encapsulating the complexities in a library or a framework has been challenging due to irregular data access over massively distributed memory. Tapas solves this by converting the users clean implicit-style parallel program into an inspector-executor style code on heterogeneous multi-core, multi-node environment solely by the use of C++ template metaprogramming. A prototype implementation of the Fast Multipole Method on Tapas demonstrates a comparable performance and scaling as ExaFMM, the fastest hand-tuned implementation of FMM, as well as efficient usage of hundreds of GPUs. Specifically, the serial performance is 95% of ExaFMM, whereas the distributed-memory strong-scaling evaluation using up to 1500 CPU cores demonstrates 64% to 81% of the ExaFMM performance. The multi-GPU version of the Tapas-based FMM achieves a 5.15x speedup when executed on 100 nodes of TSUBAME2.5 with 300 GPUs.

关键词： Fast Multipole Method GPGPU Hierarchical algorithms N-body algorithms programming framework

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Distributed Intelligent MEMS: A Survey and a Real-Time programming framework

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ACM COMPUTING SURVEYS 2016年第1期49卷 20-20页

作者： Liang, Junbin Cao, Jiannong Liu, Rui Li, Tao Guangxi Univ Guangxi Key Lab Multimedia Commun & Network Techn Sch Comp & Elect Informat Nanning 530004 Peoples R China Hong Kong Polytech Univ Dept Comp Kowloon Hong Kong Peoples R China

In recent years, distributed intelligent microelectromechanical systems (DiMEMSs) have appeared as a new form of distributed embedded systems. DiMEMSs contain thousands or millions of removable autonomous devices, which will collaborate with each other to achieve the final target of the whole system. programming such systems is becoming an extremely difficult problem. The difficulty is due not only to their inherent nature of distributed collaboration, mobility, large scale, and limited resources of their devices (e.g., in terms of energy, memory, communication, and computation) but also to the requirements of real-time control and tolerance for uncertainties such as inaccurate actuation and unreliable communications. As a result, existing programming languages for traditional distributed and embedded systems are not suitable for DiMEMSs. In this article, we first introduce the origin and characteristics of DiMEMSs and then survey typical implementations of DiMEMSs and related research hotspots. Finally, we propose a real-time programming framework that can be used to design new real-time programming languages for DiMEMSs. The framework is composed of three layers: a real-time programming model layer, a compilation layer, and a runtime system layer. The design challenges and requirements of these layers are investigated. The framework is then discussed in further detail and suggestions for future research are given.

关键词： Design Algorithms Languages Distributed intelligent MEMS autonomous devices distributed collaboration real-time programming language programming framework

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SPIRIT:A LIGHTWEIGHT programming framework FOR INTELLIGENT SYSTEM

SPIRIT:A LIGHTWEIGHT PROGRAMMING FRAMEWORK FOR INTELLIGENT S...

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2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems

作者： Tianlei Zhang Deyi Li Guisheng Chen Wen He Mu Guo Minghui Lv Department of Computer Science and Technology Tsinghua University Beijing 100084China

This paper presents Spirit, a lightweight programming framework for intelligent system. Ease of use and tiny development effort are two key features considered during the design. Spirit is mainly a template class, which provides a configure table, commonly used libraries in system control and computer vision, inter-process communication for parallel programming, hardware middleware for different hardware products, and customizable algorithm functions. Developers utilize Spirit to create modules or even systems for their intelligent applications very quickly as well as using powerful tools in Spirit for convenient debugging. We compared Spirit with existing robot frameworks and proposed a new design criterion. Results show that Spirit gives a better experience on rapid system design and debugging. We used it when developing an intelligent vehicle system.

关键词： Spirit programming framework Hardware and communication middleware Intelligent system

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DPX10: An Efficient X10 framework for Dynamic programming Applications 44

DPX10: An Efficient X10 Framework for Dynamic Programming Ap...

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44th Annual International Conference on Parallel Processing Workshops (ICPPW)

作者： Wang, Chen Yu, Ce Sun, Jizhou Meng, Xiangfei Tianjin Univ Sch Comp Sci & Technol Tianjin Peoples R China Nankai Univ Coll Comp & Control Engn Natl Supercomp Ctr Tianjin Tianjin Peoples R China

ISBN: (纸本)9781467375887

X10 language and Asynchronous Partitioned Global Address Space (APGAS) model is an emerging mechanism for programming high-performance computers and commodity clusters. However, little work exists on distributed programming framework for dynamic programming (DP) problems based on X10 and APGAS model. In this paper we present DPX10, an efficient distributed X10 framework for DP applications. DPX10 enables developers to write highly efficient DP programs without much effort. A DPX10 program is specified by a directed acyclic graph (DAG) pattern and a compute method for the vertices. DPX10 provides eight commonly used DAG patterns and a simple API to create custom patterns. The system handles all the tiresome work of implementing parallelization including DAG distribution, vertices scheduling, and vertices communication. Moreover, a new recovery method for distributed arrays is developed to provide transparent fault tolerance. We describe the design of the framework and use four DP applications with up to a billion vertices on 120 cores to demonstrate its simplicity, efficiency, and scalability.

关键词： X10 APGAS dynamic programming programming framework

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