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European Control Conference (ECC)

作者： Giovanna Amorim María Santos Shinkyu Park Alessio Franci Naomi Ehrich Leonard Dept. of Mechanical and Aerospace Engineering Princeton Univ. Princeton NJ USA Computer Electrical and Math. Science and Eng. Div. King Abdullah Univ. of Science and Technology (KAUST) Thuwal Saudi Arabia Department of Electrical Engineering and Computer Science University of Liege Liége Belgium WEL Research Institute Wavre Belgium

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

We propose a threshold decision-making frame-work for controlling the physical dynamics of an agent switching between two spatial tasks. Our framework couples a nonlinear opinion dynamics model that represents the evolution of an agent's preference for a particular task with the physical dynamics of the agent. We prove the bifurcation that governs the behavior of the coupled dynamics. We show by means of the bifurcation behavior how the coupled dynamics are adaptive to the physical constraints of the agent. We also show how the bifurcation can be modulated to allow the agent to switch tasks based on thresholds adaptive to environmental conditions. We illustrate the benefits of the approach through a multi-robot task allocation application for trash collection.

关键词： Adaptation models Decision making Europe Switches Bifurcation Control systems Resource management

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Threshold Decision-Making Dynamics Adaptive to Physical Constraints and Changing Environment

arXiv

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arXiv 2023年

作者： Amorim, Giovanna Santos, María Park, Shinkyu Franci, Alessio Leonard, Naomi Ehrich The Dept. of Mechanical and Aerospace Engineering Princeton Univ. PrincetonNJ08544 United States Computer Electrical and Math. Science and Eng. Div. Thuwal23955-6900 Saudi Arabia The Department of Electrical Engineering and Computer Science University of Liege 10 Allée de la Découverte Liège4000 Belgium The WEL Research Institute Wavre Belgium

We propose a threshold decision-making framework for controlling the physical dynamics of an agent switching between two spatial tasks. Our framework couples a nonlinear opinion dynamics model that represents the evolution of an agent’s preference for a particular task with the physical dynamics of the agent. We prove the bifurcation that governs the behavior of the coupled dynamics. We show by means of the bifurcation behavior how the coupled dynamics are adaptive to the physical constraints of the agent. We also show how the bifurcation can be modulated to allow the agent to switch tasks based on thresholds adaptive to environmental conditions. We illustrate the benefits of the approach through a multi-robot task allocation application for trash collection. Copyright © 2023, The Authors. All rights reserved.

关键词： Dynamics

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Portable Topology-Aware MPI-I/O

Portable Topology-Aware MPI-I/O

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Rob Latham Leonardo Bautista-Gomez Pavan Balaji Math. and Computer Science Div. Argonne National Laboratory Lemont IL USA Barcelona Supercomputing Center Barcelona Spain

ISBN: (纸本)9781538632086

Recent advances in storage devices are opening new opportunities in high-performance computing (HPC). Technologies such as solid-state drives (SSD) and non-volatile memories (NVM) are becoming increasingly popular because of the important gains they can represent for HPC. Indeed, novel architectures with deeper storage hierarchies populated with SSDs and/or NVM offer new ways to improve applications' performance. For instance, fast multilevel checkpointing or in-situ data analysis are some of the techniques that can be greatly improved thanks to these new technologies. However, optimizations made for one system can impose performance costs in another machine due to topology differences. To take advantage of increasingly complex systems, we propose extensions to MPI enabling codes to determine which nodes of a system share common features. Our approach provides a portable mechanism for resource discovery. It also lays the foundation for additional optimizations in checkpointing and in ROMIO. In this paper we present the design and implementation of such a feature and test it with multiple benchmarks. Our results demonstrate the benefits of this portable resource discovery functionality.

关键词： Topology Nonvolatile memory Checkpointing Supercomputers computer architecture Standards Hard disks

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Klimatic: A Virtual Data Lake for Harvesting and Distribution of Geospatial Data

Klimatic: A Virtual Data Lake for Harvesting and Distributio...

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Parallel Data Storage Workshop (PDSW)

作者： Tyler J. Skluzacek Kyle Chard Ian Foster Computation Institute The University of Chicago Chicago IL USA Math & Computer Science Div Argonne Nat. Lab Argonne IL USA

ISBN: (纸本)9781509052172

Many interesting geospatial datasets are publicly accessible on web sites and other online repositories. However, the sheer number of datasets and locations, plus a lack of support for cross-repository search, makes it difficult for researchers to discover and integrate relevant data. We describe here early results from a system, Klimatic, that aims to overcome these barriers to discovery and use by automating the tasks of crawling, indexing, integrating, and distributing geospatial data. Klimatic implements a scalable crawling and processing architecture that uses an elastic container-based model to locate and retrieve relevant datasets and to extract metadata from headers and within files to build a global index of known geospatial data. In so doing, we create an expansive geospatial virtual data lake that records the location, formats, and other characteristics of large numbers of geospatial datasets while also caching popular data subsets for rapid access. A flexible query interface allows users to request data that satisfy supplied type, spatial, temporal, and provider specifications; in processing such queries, the system uses interpolation and aggregation to combine data of different types, data formats, resolutions, and bounds. Klimatic has so far incorporated more than 10,000 datasets from over 120 sources and has been demonstrated to scale well with data size and query complexity.

关键词： Metadata Geospatial analysis Lakes Crawlers Indexing Meteorology

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Information technology and computer science programs: How do we relate? 15

Information technology and computer science programs: How do...

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16th Annual ACM Conference on Information Technology Education, SIGITE 2015

作者： MacKellar, Bonnie Sabin, Mihaela Hislop, Gregory Settle, Amber Div. of Computer Science Math and Science St John's University QueensNY United States Computing Technology University of New Hampshire ManchesterNH03101 United States College of Computing and Informatics Drexel University PhiladelphiaPA United States School of Computing DePaul University ChicagoIL60604 United States

ISBN: (纸本)9781450338356

In this panel session, the relationship between computer science programs and information technology programs at universities that house both will be explored. People outside the computing disciplines often find the distinction between these programs confusing. The panelists, who have experience with both types of program, will discuss strategies for differentiating the programs in the eyes of administrators, for advising students into the correct program, and for maintaining focus and excellence in both computer science and information technology programs.

关键词： Engineering education

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WorkQ: A many-core producer/consumer execution model applied to PGAS computations

WorkQ: A many-core producer/consumer execution model applied...

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： David Ozog Allen Malony Jeff R. Hammond Pavan Balaji Dept. of Computer and Information Science University of Oregon Eugene Oregon Parallel Computing Lab Intel Corporation Hillsboro Oregon Math. and Computer Science Div. Argonne National Laboratory Lemont Illinois

ISBN: (纸本)9781479976164

Partitioned global address space (PGAS) applications, such as the Tensor Contraction Engine (TCE) in NWChem, often apply a one-process-per-core mapping in which each process iterates through the following work-processing cycle: (1) determine a work-item dynamically, (2) get data via one-sided operations on remote blocks, (3) perform computation on the data locally, (4) put (or accumulate) resultant data into an appropriate remote location, and (5) repeat the cycle. However, this simple flow of execution does not effectively hide communication latency costs despite the opportunities for making asynchronous progress. Utilizing nonblocking communication calls is not sufficient unless care is taken to efficiently manage a responsive queue of outstanding communication requests. This paper presents a new runtime model and its library implementation for managing tunable “work queues” in PGAS applications. Our runtime execution model, called WorkQ, assigns some number of on-node “producer” processes to primarily do communication (steps 1, 2, 4, and 5) and the other “consumer” processes to do computation (step 3); but processes can switch roles dynamically for the sake of performance. Load balance, synchronization, and overlap of communication and computation are facilitated by a tunable nodewise FIFO message queue protocol. Our WorkQ library implementation enables an MPI+X hybrid programming model where the X comprises SysV message queues and the user's choice of SysV, POSIX, and MPI shared memory. We develop a simplified software mini-application that mimics the performance behavior of the TCE at arbitrary scale, and we show that the WorkQ engine outperforms the original model by about a factor of 2. We also show performance improvement in the TCE coupled cluster module of NWChem.

关键词： Computational modeling Libraries Tensile stress Load modeling Electronics packaging Engines Runtime

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Synchronization and ordering semantics in hybrid MPI+GPU programming

Synchronization and ordering semantics in hybrid MPI+GPU pro...

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2013 IEEE 37th Annual computer Software and Applications Conference, COMPSAC 2013

作者： Aji, Ashwin M. Balaji, Pavan Dinan, James Feng, Wu-Chun Thakur, Rajeev Dept. of Computer Science Virginia Tech United States Math. and Comp. Sci. Div. Argonne National Lab. United States

ISBN: (纸本)9780769549798

Despite the vast interest in accelerator-based systems, programming large multinode GPUs is still a complex task, particularly with respect to optimal data movement across the host-GPU PCIe connection and then across the network. In order to address such issues, GPU-integrated MPI solutions have been developed that integrate GPU data movement into existing MPI implementations. Currently available GPU-integrated frameworks differ in aspects related to the buffer synchronization and ordering semantics they provide to users. The noteworthy models are (1) unified virtual addressing (UVA)-based approach and (2) MPI attributes-based approach. In this paper, we compare these approaches, for both programmability and performance, and demonstrate that the UVA-based design is useful for isolated communication with no data dependencies or ordering requirements, while the attributes-based design might be more appropriate when multiple interdependent MPI and GPU operations are interleaved. © 2013 IEEE.

关键词： Semantics

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Synchronization and Ordering Semantics in Hybrid MPI+GPU Programming

Synchronization and Ordering Semantics in Hybrid MPI+GPU Pro...

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IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Ashwin M. Aji Pavan Balaji James Dinan Wu-chun Feng Rajeev Thakur Dept. of Computer Science Virginia Tech Math. and Comp. Sci. Div. Argonne National Lab.

ISBN: (纸本)9781479913725

关键词： Graphics processing units Synchronization Semantics Programming Data transfer Kernel Performance evaluation

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pVOCL: Power-Aware Dynamic Placement and Migration in Virtualized GPU Environments

pVOCL: Power-Aware Dynamic Placement and Migration in Virtua...

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International Conference on Distributed Computing Systems

作者： Palden Lama Yan Li Ashwin M. Aji Pavan Balaji James Dinan Shucai Xiao Yunquan Zhang Wu-chun Feng Rajeev Thakur Xiaobo Zhou Department of Computer Science University of Colorado Colorado Springs USA Math. and Comp. Sci. Div. Argonne National Laboratory USA Institute of Software Chinese Academy of Sciences China Department of Computer Science Virginia Tech USA Advanced Micro Devices USA

Power-hungry Graphics processing unit (GPU) accelerators are ubiquitous in high performance computing data centers today. GPU virtualization frameworks introduce new opportunities for effective management of GPU resources by decoupling them from application execution. However, power management of GPU-enabled server clusters faces significant challenges. The underlying system infrastructure shows complex power consumption characteristics depending on the placement of GPU workloads across various compute nodes, power-phases and cabinets in a datacenter. GPU resources need to be scheduled dynamically in the face of time-varying resource demand and peak power constraints. We propose and develop a power-aware virtual OpenCL (pVOCL) framework that controls the peak power consumption and improves the energy efficiency of the underlying server system through dynamic consolidation and power-phase topology aware placement of GPU workloads. Experimental results show that pVOCL achieves significant energy savings compared to existing power management techniques for GPU-enabled server clusters, while incurring negligible impact on performance. It drives the system towards energy-efficient configurations by taking an optimal sequence of adaptation actions in a virtualized GPU environment and meanwhile keeps the power consumption below the peak power budget.

关键词： Graphics processing units Power demand Topology Kernel Servers Monitoring Power measurement

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Enhancing Performance Portability of MPI Applications through Annotation-Based Transformations

Enhancing Performance Portability of MPI Applications throug...

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International Conference on Parallel Processing (ICPP)

作者： Md. Ziaul Haque Qing Yi James Dinan Pavan Balaji Dept. Computer Science U. Texas at San Antonio San Antonio Texas USA Dept. of Computer Science U. Colorado at Colorado Springs Colorado Springs CO USA Math. and Comp. Sci. Div. Argonne National Lab Chicago IL USA

ISBN: (纸本)9781479914487

MPI is the de facto standard for portable parallel programming on high-end systems. However, while the MPI standard provides functional portability, it does not provide sufficient performance portability across platforms. We present a framework that enables users to provide hints about communication patterns used within MPI applications. These annotations are then used by an automated program transformation system to leverage different MPI operations that better match each system's capabilities. Our framework currently supports three automated transformations: coalescing of operations in MPI one-sided communications, transformation of blocking communications to nonblocking, which enables communication-computation overlap, and selection of the appropriate communication operators based on the cache-coherence support of the underlying platform. We use our annotation-based approach to optimize several benchmark kernels, and we demonstrate that the framework is effective at automatically improving performance portability for MPI applications.

关键词： Optimization Standards Benchmark testing Synchronization Algorithm design and analysis Kernel Computational modeling

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