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International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia)

作者： Ibrahim, Khaled Z. Lawrence Berkeley Natl Lab Computat Res Div Berkeley CA 94720 USA

ISBN: (纸本)9781450388429

We present our design and implementation of a runtime for the Space Consistency model. The Space Consistency model is a generalized form of the full-empty bit synchronization for distributed memory programming, where a memory region is associated with a counter that determines its consistency and readiness for consumption. The model allows for efficient implementation of point-to-point data transfers and collective communication primitives as well. We present the interface design, implementation details, and performance results on Cray XC systems. Our runtime adopts a reduced API design to provide low-overhead initiation and processing of communication primitives, enable threaded execution of runtime functions, and provide efficient pipelining, thus improving the computation-communication overlap. We show the performance benefits of using this runtime both at the microbenchmark level and in application settings.

关键词： Runtime Systems parallel programming models

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The AXIOM project (Agile, eXtensible, fast I/O Module) 15

The AXIOM project (Agile, eXtensible, fast I/O Module)

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International Conference on Embedded Computer Systems Architectures Modeling and Simulation

作者： Theodoropoulos, Dimitris Pnevmatikatos, Dionisis Alvarez, Carlos Ayguade, Eduard Bueno, Javier Filgueras, Antonio Jimenez-Gonzalez, Daniel Martorell, Xavier Navarro, Nacho Segura, Carlos Fernandez, Carles Oro, David Saeta, Javier Rodriguez Gai, Paolo Rizzo, Antonio Giorgi, Roberto Fdn Res & Technol Hellas FORTH Inst Comp Sci GR-70013 Iraklion Greece Barcelona Supercomp Ctr Dept Comp Sci Barcelona Spain Univ Politecn Cataluna Comp Architecture Dept Barcelona Spain Herta Secur SL Barcelona Spain Evidence SRL Pisa Italy Univ Siena Siena Italy

ISBN: (纸本)9781467373111

The AXIOM project (Agile, eXtensible, fast I/O Module) aims at researching new software/hardware architectures for the future Cyber-Physical Systems (CPSs). These systems are expected to react in real-time, provide enough computational power for the assigned tasks, consume the least possible energy for such task (energy efficiency), scale up through modularity, allow for an easy programmability across performance scaling, and exploit at best existing standards at minimal costs. Current solutions for providing enough computational power are mainly based on multi-or many-core architectures. For example, some current research projects (such as ADEPT or P-SOCRATES) are already investigating how to join efforts from the High-Performance Computing (HPC) and the Embedded Computing domains, which are both focused on high power efficiency, while GPUs and new Dataflow platforms such as Maxeler, or in general FPGAs, are claimed as the most energy efficient. We present the project's initial approach, ideas and key concepts, and describe the AXIOM preliminary architecture. Our starting point uses power efficient multi-core nodes, such as ARM cores and FPGA accelerators on the same die, as in the Xilinx Zynq. We will work to provide an integrated environment that supports programmability of the parallel, interconnected nodes that form a CPS system, and evaluate our ideas using demanding test application scenarios.

关键词： Cyber-Physical Systems parallel programming models Smart Video Surveillance Smart Living/Home

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Transparent execution of task-based parallel applications in Docker with COMP Superscalar 25

Transparent execution of task-based parallel applications in...

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25th Euromicro International Conference on parallel, Distributed and Network-Based Processing (PDP)

作者： Anton, Victor Ramon-Cortes, Cristian Ejarque, Jorge Badia, Rosa M. BSC Barcelona Spain CSIC IIIA Artificial Intelligence Res Inst Spanish Natl Res Council Barcelona Spain

ISBN: (纸本)9781509060580

This paper presents a framework to easily build and execute parallel applications in container-based distributed computing platforms in a user transparent way. The proposed framework is a combination of the COMP Superscalar and Docker. We have built a prototype in order to evaluate how it performs by evaluating the overhead in the building, deployment and execution phases. We have observed an important gain compared with cloud environments during the building and deployment phases. In contrast, we have detected an extra overhead during the execution, which is mainly due to the multi-host Docker networking.

关键词： Cloud Computing Linux Containers Distributed Systems parallel programming models

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Nested data parallelism - An introductory overview

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Informatik - Forschung und Entwicklung 1999年第4期14卷 179-192页

作者： Pfannenstiel, W. Technische Universität Berlin Fachbereich Informatik Fachgebiet Softwaretechnik D-10587 Berlin Franklinstraße 28/29 Germany

Today, data-parallel programming models are the most successful programming models for parallel computers both in terms of efficiency of execution and ease of use for the programmer. However, there is no parallel programming model that is conceptually simple and abstract, and that can be ported efficiently to the variety of parallel architectures available. The nested data-parallel programming model has some of the desired properties of a parallel programming model. In contrast to flat data parallel models, with this model it is possible to express irregular data structures and irregular parallel computations directly. In this paper, a collection-oriented approach to nested data parallelism is introduced. The state of the art of related research is presented and open questions are identified.

关键词： High-level parallel languages Irregular parallelism Massively parallel systems Nested parallelism parallel programming models Program transformations

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An Integrated Hardware-Software Approach to Task Graph Management 16

An Integrated Hardware-Software Approach to Task Graph Manag...

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16th IEEE International Conference on High Performance Computing and Communications HPCC 2014\11th IEEE International Conference on Embedded Software and Systems ICESS 2014\6th International Symposium on Cyberspace Safety and Security CSS 2014

作者： Engelhardt, Nina Dallou, Tamer Elhossini, Ahmed Juurlink, Ben Tech Univ Berlin Embedded Syst Architecture Einsteinufer 17 D-10587 Berlin Germany

ISBN: (纸本)9781479961238

Task-based parallel programming models with explicit data dependencies, such as OmpSs, are gaining popularity, due to the ease of describing parallel algorithms with complex and irregular dependency patterns. These advantages, however, come at a steep cost of runtime overhead incurred by dynamic dependency resolution. Hardware support for task management has been proposed in previous work as a possible solution. We present VSs, a runtime library for the OmpSs programming model that integrates the Nexus++ hardware task manager, and evaluate the performance of the VSs-Nexus++ system. Experimental results show that applications with fine-grain tasks can achieve speedups of up to 3.4x, while applications optimized for current runtimes attain 1.3x. Providing support for hardware task managers in runtime libraries is therefore a viable approach to improve the performance of OmpSs applications.

关键词： OmpSs parallel programming models task dataflow hardware task scheduler runtime library

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A Case Study for Performance Portability Using OpenMP 4.5 5th

A Case Study for Performance Portability Using OpenMP 4.5

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5th International Workshop on Accelerator programming Using Directives (WACCPD)

作者： Gayatri, Rahulkumar Yang, Charlene Kurth, Thorsten Deslippe, Jack Lawrence Berkeley Natl Lab LBNL Natl Energy Res Sci Comp Ctr NERSC Berkeley CA 94720 USA

ISBN: (纸本)9783030122744;9783030122737

In recent years, the HPC landscape has shifted away from traditional multi-core CPU systems to energy-efficient architectures, such as many-core CPUs and accelerators like GPUs, to achieve high performance. The goal of performance portability is to enable developers to rapidly produce applications which can run efficiently on a variety of these architectures, with little to no architecture specific code adoptions required. We implement a key kernel from a material science application using OpenMP 3.0, OpenMP 4.5, OpenACC, and CUDA on Intel architectures, Xeon and Xeon Phi, and NVIDIA GPUs, P100 and V100. We will compare the performance of the OpenMP 4.5 implementation with that of the more architecture-specific implementations, examine the performance of the OpenMP 4.5 implementation on CPUs after back-porting, and share our experience optimizing large reduction loops, as well as discuss the latest compiler status for OpenMP 4.5 and OpenACC.

关键词： OpenMP 3.0 OpenMP 4.5 OpenACC CUDA parallel programming models P100 V100 Xeon Phi Haswell

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Improving Performance of HPC Kernels on FPGAs Using High-Level Resource Management 31

Improving Performance of HPC Kernels on FPGAs Using High-Lev...

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31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)

作者： Filgueras, Antonio Vidal, Miquel Jimenez-Gonzalez, Daniel Alvarez, Carlos Martorell, Xavier Univ Politecn Cataluna Barcelona Spain Barcelona Supercomp Ctr Barcelona Spain

In state-of-the-art FPGA, especially in chiplet-based devices, place and route has become an important challenge due to an increase in device size and complexity. In the same way, off-chip memory resources have grown ... 详细信息

ISBN: (纸本)9798350312058

关键词： FPGA FPGA design tools high performance computing high-level synthesis matrix multiplication parallel programming models

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Self-Adaptive OmpSs Tasks in Heterogeneous Environments

Self-Adaptive OmpSs Tasks in Heterogeneous Environments

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IEEE 27th International parallel and Distributed Processing Symposium (IPDPS)

作者： Planas, Judit Badia, Rosa M. Ayguade, Eduard Labarta, Jesus Univ Politecn Cataluna Barcelona Supercomp Ctr E-08028 Barcelona Spain CSIC Artificial Intelligence Res Inst IIIA Barcelona Supercompu Ctr Barcelona Spain

ISBN: (纸本)9780769549712

As new heterogeneous systems and hardware accelerators appear, high performance computers can reach a higher level of computational power. Nevertheless, this does not come for free: the more heterogeneity the system presents, the more complex becomes the programming task in terms of resource management. OmpSs is a task-based programming model and framework focused on the runtime exploitation of parallelism from annotated sequential applications. This paper presents a set of extensions to this framework: we show how the application programmer can expose different specialized versions of tasks (i.e. pieces of specific code targeted and optimized for a particular architecture) and how the system can choose between these versions at runtime to obtain the best performance achievable for the given application. From the results obtained in a multi-GPU system, we prove that our proposal gives flexibility to application's source code and can potentially increase application's performance.

关键词： multi-gpu management heterogeneous architectures parallel programming models scheduling techniques

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Pure: Evolving Message Passing To Better Leverage Shared Memory Within Nodes 24

Pure: Evolving Message Passing To Better Leverage Shared Mem...

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29th ACM SIGPLAN Annual Symposium on Principles and Practice of parallel programming (PPoPP)

作者： Psota, James Solar-Lezama, Armando MIT CSAIL Cambridge MA 02139 USA

ISBN: (纸本)9798400704352

Pure is a new programming model and runtime system explicitly designed to take advantage of shared memory within nodes in the context of a mostly message passing interface enhanced with the ability to use tasks to make use of idle cores. Pure leverages shared memory in two ways: (a) by allowing cores to steal work from each other while waiting on messages to arrive, and, (b) by leveraging *** lock-free data structures in shared memory to achieve highperformance messaging and collective operations between the ranks within nodes. We use microbenchmarks to evaluate Pure's key messaging and collective features and also show application speedups up to 2.1 Chi on the CoMD molecular dynamics and the miniAMR adaptive mesh *** applications scaling up to 4,096 cores.

关键词： parallel programming models distributed runtime systems task-based parallelism concurrent data structures lock-free data structures

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Adapting the Local Clusters for Execution parallel Applications and Training 13

Adapting the Local Clusters for Execution Parallel Applicati...

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Joint Event of the RENAM 8th Conference / RoEduNet 13th Conference

作者： Hancu, Boris Calmis, Elena Moldova State Univ USM Fac Math & Comp Sci Chitinau Moldova

ISBN: (纸本)9781479968602

In this article is described the development of soft and hard environment for integrating individual cluster systems in a single, integrate parallel HPC systems. The elaborated applications can be ported to the resources of the integrated HPC system. To acquire the necessary theoretical and practical skills on using regional HPC clusters, currently it is preparing an interactive educational course for teaching students in the area of parallel programming, HPC clusters, and use of parallel software.

关键词： computer science HPC system mathematical model sakai bigbluebutton online course parallel programming models Rocks cluster md-grid

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