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2,853 results on '"Runtime system"'

1. Automatic Discovery of Collective Communication Patterns in Parallelized Task Graphs.

Author

Knorr, Fabian, Salzmann, Philip, Thoman, Peter, and Fahringer, Thomas

Subjects
*COMMUNICATION patterns, *DEGREES of freedom, *HIGH performance computing
Abstract

Collective communication APIs equip MPI vendors with the necessary context to optimize cluster-wide operations on the basis of theoretical complexity models and characteristics of the involved interconnects. Modern HPC runtime systems with a programmability focus can perform dependency analysis to eliminate the need for manual communication entirely. Profiting from optimized collective routines in this context often requires global analysis of the implicit point-to-point communication pattern or tight constrains on the data access patterns allowed inside kernels. The Celerity API provides a high degree of freedom for both runtime implementors and application developers by tieing transparent work assignment to data access patterns through user-defined range-mapper functions. Canonically, data dependencies are resolved through an intra-node coherence model and inter-node point-to-point communication. This paper presents Collective Pattern Discovery (CPD), a fully distributed, coordination-free method for detecting collective communication patterns on parallelized task graphs. Through extensive scheduling and communication microbenchmarks as well as a strong scaling experiment on a compute-intensive application, we demonstrate that CPD can achieve substantial performance gains in the Celerity model. [ABSTRACT FROM AUTHOR]

Published
2024
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2. IRIS Reimagined: Advancements in Intelligent Runtime System for Task-Based Programming

Author

Miniskar, Narasinga Rao, Lee, Seyong, Beau, Johnston, Young, Aaron, Monil, Mohammad Alaul Haque, Valero-Lara, Pedro, Vetter, Jeffrey S., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Diehl, Patrick, editor, Schuchart, Joseph, editor, Valero-Lara, Pedro, editor, and Bosilca, George, editor

Published
2024
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3. MatRIS: Addressing the Challenges for Portability and Heterogeneity Using Tasking for Matrix Decomposition (Cholesky)

Author

Monil, Mohammad Alaul Haque, Miniskar, Narasinga Rao, Valero-Lara, Pedro, Teranishi, Keita, Vetter, Jeffrey S., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Diehl, Patrick, editor, Schuchart, Joseph, editor, Valero-Lara, Pedro, editor, and Bosilca, George, editor

Published
2024
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4. Optimizing Parallel System Efficiency: Dynamic Task Graph Adaptation with Recursive Tasks

Author

Furmento, Nathalie, Guermouche, Abdou, Lucas, Gwenolé, Morin, Thomas, Thibault, Samuel, Wacrenier, Pierre-André, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Diehl, Patrick, editor, Schuchart, Joseph, editor, Valero-Lara, Pedro, editor, and Bosilca, George, editor

Published
2024
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5. TensorTable: Extending PyTorch for mixed relational and linear algebra pipelines.

Author

Xu Wen

Subjects
MACHINE learning, LINEAR algebra, RELATION algebras, DATA conversion, DATA analysis
Abstract

The mixed relational algebra (RA) and linear algebra (LA) pipelines have become increasingly common in recent years. However, contemporary widely used frameworks struggle to support both RA and LA operators effectively, failing to ensure optimal end-to-end performance due to the cost of LA operators and data conversion. This underscores the demand for a system capable of seamlessly integrating RA and LA while delivering robust end-to-end performance. This paper proposes TensorTable, a tensor system that extends PyTorch to enable mixed RA and LA pipelines. We propose TensorTable as the unified data representation, storing data in a tensor format to prioritize the performance of LA operators and reduce data conversion costs. Relational tables from RA, as well as vectors, matrices, and tensors from LA, can be seamlessly converted into TensorTables. Additionally, we provide TensorTable-based implementations for RA operators and build a system that supports mixed LA and RA pipelines. We implement TensorTable on top of PyTorch, achieving comparable performance for both RA and LA operators, particularly on small datasets. TensorTable achieves a 1.15x-5.63x speedup for mixed pipelines, compared with state-of-the-art frameworks--AIDA and RMA. [ABSTRACT FROM AUTHOR]

Published
2024
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6. Hierarchical Management of Extreme-Scale Task-Based Applications

Author

Lordan, Francesc, Puigdemunt, Gabriel, Vergés, Pere, Conejero, Javier, Ejarque, Jorge, Badia, Rosa M., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cano, José, editor, Dikaiakos, Marios D., editor, Papadopoulos, George A., editor, Pericàs, Miquel, editor, and Sakellariou, Rizos, editor

Published
2023
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7. Programming Heterogeneous Architectures Using Hierarchical Tasks

Author

Faverge, Mathieu, Furmento, Nathalie, Guermouche, Abdou, Lucas, Gwenolé, Namyst, Raymond, Thibault, Samuel, Wacrenier, Pierre-André, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Singer, Jeremy, editor, Elkhatib, Yehia, editor, Blanco Heras, Dora, editor, Diehl, Patrick, editor, Brown, Nick, editor, and Ilic, Aleksandar, editor

Published
2023
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8. A Task-Parallel Runtime for Heterogeneous Multi-node Vector Systems

Author

Ide, Kazuki, Takahashi, Keichi, Shimomura, Yoichi, Takizawa, Hiroyuki, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Takizawa, Hiroyuki, editor, Shen, Hong, editor, Hanawa, Toshihiro, editor, Hyuk Park, Jong, editor, Tian, Hui, editor, and Egawa, Ryusuke, editor

Published
2023
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9. RADICAL-Pilot and PMIx/PRRTE: Executing Heterogeneous Workloads at Large Scale on Partitioned HPC Resources

Author

Titov, Mikhail, Turilli, Matteo, Merzky, Andre, Naughton, Thomas, Elwasif, Wael, Jha, Shantenu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Klusáček, Dalibor, editor, Julita, Corbalán, editor, and Rodrigo, Gonzalo P., editor

Published
2023
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10. Declarative Data Flow in a Graph-Based Distributed Memory Runtime System.

Author

Knorr, Fabian, Thoman, Peter, and Fahringer, Thomas

Subjects
*SYSTEMS engineering, *COMPLEXITY (Philosophy), *DATABASES, *COMMUNICATION models, *MEMORY, *HIGH performance computing
Abstract

Runtime systems can significantly reduce the cognitive complexity of scientific applications, narrowing the gap between systems engineering and domain science in HPC. One of the most important angles in this is automating data migration in a cluster. Traditional approaches require the application developer to model communication explicitly, for example through MPI primitives. Celerity, a runtime system for accelerator clusters heavily inspired by the SYCL programming model, instead provides a purely declarative approach focused around access patterns. In addition to eliminating the need for explicit data transfer operations, it provides a basis for efficient and dynamic scheduling at runtime. However, it is currently only suitable for accessing array-like data from runtime-controlled tasks, while real programs often need to interact with opaque data local to each host, such as handles or database connections, and also need a defined way of transporting data into and out of the virtualised buffers of the runtime. In this paper, we introduce a graph-based approach and declarative API for expressing side-effect dependencies between tasks and moving data from the runtime context to the application space. [ABSTRACT FROM AUTHOR]

Published
2023
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11. Domain-Specific Runtime to Orchestrate Computation on Heterogeneous Platforms

Author

O’Neal, Jared, Wahib, Mohamed, Dubey, Anshu, Weide, Klaus, Klosterman, Tom, Rudi, Johann, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Chaves, Ricardo, editor, B. Heras, Dora, editor, Ilic, Aleksandar, editor, Unat, Didem, editor, Badia, Rosa M., editor, Bracciali, Andrea, editor, Diehl, Patrick, editor, Dubey, Anshu, editor, Sangyoon, Oh, editor, L. Scott, Stephen, editor, and Ricci, Laura, editor

Published
2022
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12. Towards a dynamic heuristic for task scheduling in application integration platforms to handle large volumes of data.

Author

Mazzonetto, Angela, Frantz, Rafael Z., Sawicki, Sandro, Roos-Frantz, Fabricia, and Battisti, Gerson

Subjects
*MATHEMATICAL optimization, *SOFTWARE development tools, *HEURISTIC, *SOFTWARE engineers, *SOFTWARE engineering, *ELECTRONIC data processing
Abstract

Integration platforms are software tools needed to support the integration process. They have a runtime system responsible for processing the integration process data. Currently, with the growing volume of data coming from the IoT, integration platforms are beginning to show necessary improvements in their efficiency. Optimization techniques have been applied to the most diverse problems in software engineering, and that's why in this work, based on optimization techniques, we developed a heuristic technique capable of providing efficiency in different patterns of data input loads. Our results demonstrate that the heuristic that we propose dMQueue provides greater efficiency to the runtime system because it has frequent monitoring and periodicity, making the threads adjusted based on the workload. [ABSTRACT FROM AUTHOR]

Published
2023
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13. Colony: Parallel Functions as a Service on the Cloud-Edge Continuum

Author

Lordan, Francesc, Lezzi, Daniele, Badia, Rosa M., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sousa, Leonel, editor, Roma, Nuno, editor, and Tomás, Pedro, editor

Published
2021
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15. Automated prioritizing heuristics for parallel task graph scheduling in heterogeneous computing

Author

Clément Flint, Ludovic Paillat, and Bérenger Bramas

Subjects
StarPU, Heteroprio, High performance computing, Heterogeneous scheduling, Runtime system, Parallel computing, Electronic computers. Computer science, QA75.5-76.95
Abstract

High-performance computing (HPC) relies increasingly on heterogeneous hardware and especially on the combination of central and graphical processing units. The task-based method has demonstrated promising potential for parallelizing applications on such computing nodes. With this approach, the scheduling strategy becomes a critical layer that describes where and when the ready-tasks should be executed among the processing units. In this study, we describe a heuristic-based approach that assigns priorities to each task type. We rely on a fitness score for each task/worker combination for generating priorities and use these for configuring the Heteroprio scheduler automatically within the StarPU runtime system. We evaluate our method’s theoretical performance on emulated executions and its real-case performance on multiple different HPC applications. We show that our approach is usually equivalent or faster than expert-defined priorities.

Published
2022
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16. Mini-Gunrock: A Lightweight Graph Analytics Framework on the GPU

Author

Wang, Yangzihao, Baxter, Sean, and Owens, John D.

Subjects
Graph analytics, Programming model, Runtime system
Abstract

Existing GPU graph analytics frameworks are typically built from specialized, bottom-up implementations of graph operators that are customized to graph computation. In this work we describe Mini-Gunrock, a lightweight graph analytics framework on the GPU. Unlike existing frameworks, Mini-Gunrock is built from graph operators implemented with generic transform-based data-parallel primitives. Using this method to bridge the gap between programmability and high performance for GPU graph analytics, we demonstrate operator performance on scale-free graphs with an average 1.5x speedup compared to Gunrock’s corresponding operator performance. Mini-Gunrock’s graph operators, optimizations, and applications code have 10x smaller code size and comparable overall performance vs. Gunrock.

Published
2017

17. An On-Line Performance Introspection Framework for Task-Based Runtime Systems

Author

Aguilar, Xavier, Jordan, Herbert, Heller, Thomas, Hirsch, Alexander, Fahringer, Thomas, Laure, Erwin, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Rodrigues, João M. F., editor, Cardoso, Pedro J. S., editor, Monteiro, Jânio, editor, Lam, Roberto, editor, Krzhizhanovskaya, Valeria V., editor, Lees, Michael H., editor, Dongarra, Jack J., editor, and Sloot, Peter M.A., editor

Published
2019
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18. HCE: A Runtime System for Efficiently Supporting Heterogeneous Cooperative Execution

Author

Lanjun Wan, Weihua Zheng, and Xinpan Yuan

Subjects
Communication optimization, cooperative execution, data-parallel applications, dynamic scheduling, heterogeneous systems, runtime system, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Heterogeneous systems with multiple different compute devices have come into common use recently, and the heterogeneity of the compute device is mainly reflected in three aspects: hardware architecture, instruction set architecture, and processing capability. Heterogeneous CPU-accelerator systems have attracted increasing attention especially. To make full use of multiple CPUs and accelerators to execute data-parallel applications, programmers may need to manually map computation and data to all available compute devices, which is tedious, error-prone, and difficult. Especially for some data-parallel applications, the inter-device communication could easily become the performance bottleneck of multi-device co-execution. Therefore, firstly, a runtime system is designed for supporting heterogeneous cooperative execution (HCE) of data-parallel applications, which can help programmers to automatically and efficiently map computation and data to multiple compute devices. Secondly, an incremental data transfer method is designed to avoid redundant data transfers between devices, and a three-way overlapping communication optimization method based on software pipelining is designed to effectively hide the inter-device communication overhead. Based on our previously proposed feedback-based dynamic and elastic task scheduling (FDETS) scheme and asynchronous-based dynamic and elastic task scheduling (ADETS) scheme, the modified FDETS that supports incremental data transfer and the modified ADETS that supports three-way overlapping communication optimization are proposed, which not only can effectively partition and balance the workload among multiple compute devices but also can significantly reduce data transfer overhead between devices. Thirdly, a prototype of the proposed runtime system is implemented, which provides a set of runtime APIs for task scheduling, device management, memory management, and transfer optimization. Our experimental results show that the communication overhead between devices is greatly reduced using the proposed inter-device communication optimization methods and the multi-device co-execution significantly outperforms the best single-device execution.

Published
2021
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20. Design of roadheader control system based on embedded soft PLC

Author

ZHU Wei, WANG Hong, LI Shoubin, and ZHAO Wensheng

Subjects
roadheader control, automatic control, automatic cutting, logic control, embedded soft plc, runtime system, Mining engineering. Metallurgy, TN1-997
Abstract

In order to solve problems of high development cost, large maintenance and difficult cross-platform transplantation of existing coal mine roadheader control system taking ordinary PLCs and dedicated controllers as cores, a roadheader control system based on embedded soft PLC technology was designed. The functional requirements and implementation principles of the system were analyzed. The control system architecture taking embedded soft PLC as the core was put forward. The system realizes basic logic control, full-function remote control and automatic cutting function of the roadheader through the customization of real-time operating system, transplantation of the soft PLC runtime system and the development of the drive components. The system also can real-time monitor status of the roadheader, and can realize full-function remote control through the remote control, automatic cutting and shaping of the roadway section by setting parameters such as section shape, path type, roadway height, roadway width and cutting interval. Compared with the control system with PLC and dedicated controller as the core, the roadheader control system based on embedded soft PLC can better realize unified standard and system's configuration and development of roadheader equipment, which has good cross-platform portability.The test results show that basic control function and remote control operation of the system are good, and the maximum error of automatic cutting surface boundary is less than 10 cm.

Published
2020
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21. 基于变更事件驱动的微服务组合平台设计与实现.

Author

王信, 刘晓燕, 张开琦, 王星, and 严馨

Abstract

The field of microservice composition is still in its immature stage and needs a more complete solution. Therefore, a microservice composition platform based on change events is designed. Compared with the existing solutions, the platform supports fine-grained data access control at the domain-specific language level and further enriches the language expression. The Spring Cloud Netflix ecosystem is introduced to solve the problem that the microservices in the platform cannot be deployed dynamically and improve the robustness. For the events that trigger the composition of the microservices, the change detection of Web resources is added. That it, the content and structure of the XML document are compared, and the existing comparison method at the content level of the XML document is optimized, and the similarity measure of content and structure is comprehensively considered. The experimental results show that the microservice composition platform is more complete and rich, with emphasis on privacy protection, and stronger fault tolerance, and improves the algorithm time efficiency. [ABSTRACT FROM AUTHOR]

Published
2021
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22. Mitigating the processor aging through dynamic concurrency throttling.

Author

Medeiros, Thiarles S., Pereira, Luan, Rossi, Fábio D., Luizelli, Marcelo C., Beck, Antonio Carlos S., and Lorenzon, Arthur F.

Subjects
*BINARY codes, *HIGH temperatures
Abstract

The increase in the number of cores in a single chip brings better capabilities to exploit thread-level parallelism (TLP). However, since power dissipated per area rises at each new node generation, higher temperatures are achieved, speeding up the aging of hardware components, which may provoke undesired system behavior. Considering that many applications do not scale with the number of cores, their execution with the maximum TLP available will not only degrade performance, but also unnecessarily increase temperature, further accelerating aging. Given that, we propose Hebe, a dynamic concurrency throttling approach that learns at run-time the degree of TLP that reduces the aging for OpenMP applications. Hebe is totally transparent, needing no modifications in the original binary code. With a set of extensive experiments (fifteen benchmarks and four multicore platforms), we show that Hebe outperforms state-of-the-art approaches with very close results from the best possible solution given by an exhaustive search. • Presents the need for a DCT tool that specifically optimizes the processor aging. • Hebe: a transparent aging-aware thread throttling approach for OpenMP applications. • It learns, at run-time, the ideal degree of TLP for each parallel region. • Hebe outperforms state-of-the-art approaches. • Very close results from the best solution given by an exhaustive search. [ABSTRACT FROM AUTHOR]

Published
2021
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23. A Taxonomy of Task-Based Technologies for High-Performance Computing

Author

Thoman, Peter, Hasanov, Khalid, Dichev, Kiril, Iakymchuk, Roman, Aguilar, Xavier, Gschwandtner, Philipp, Lemarinier, Pierre, Markidis, Stefano, Jordan, Herbert, Laure, Erwin, Katrinis, Kostas, Nikolopoulos, Dimitrios S., Fahringer, Thomas, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Wyrzykowski, Roman, editor, Dongarra, Jack, editor, Deelman, Ewa, editor, and Karczewski, Konrad, editor

Published
2018
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24. Trade-Off Between Performance, Fault Tolerance and Energy Consumption in Duplication-Based Taskgraph Scheduling

Author

Eitschberger, Patrick, Holmbacka, Simon, Keller, Jörg, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Berekovic, Mladen, editor, Buchty, Rainer, editor, Hamann, Heiko, editor, Koch, Dirk, editor, and Pionteck, Thilo, editor

Published
2018
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25. Adaptive Scaling Up/Down for Elastic Clouds

Author

Satoh, Ichiro, Kacprzyk, Janusz, Series editor, Badica, Costin, editor, El Fallah Seghrouchni, Amal, editor, Beynier, Aurélie, editor, Camacho, David, editor, Herpson, Cédric, editor, Hindriks, Koen, editor, and Novais, Paulo, editor

Published
2017
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26. Runtime-Assisted Shared Cache Insertion Policies Based on Re-reference Intervals

Author

Dimić, Vladimir, Moretó, Miquel, Casas, Marc, Valero, Mateo, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Rivera, Francisco F., editor, Pena, Tomás F., editor, and Cabaleiro, José C., editor

Published
2017
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27. Improving Performance of Distributed Graph Traversals via Application-Aware Plug-In Work Scheduler

Author

Firoz, Jesun Sahariar, Zalewski, Marcin, Barnas, Martina, Lumsdaine, Andrew, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Desprez, Frédéric, editor, Dutot, Pierre-François, editor, Kaklamanis, Christos, editor, Marchal, Loris, editor, Molitorisz, Korbinian, editor, Ricci, Laura, editor, Scarano, Vittorio, editor, Vega-Rodríguez, Miguel A., editor, Varbanescu, Ana Lucia, editor, Hunold, Sascha, editor, Scott, Stephen L., editor, Lankes, Stefan, editor, and Weidendorfer, Josef, editor

Published
2017
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28. Pragma-Controlled Source-to-Source Code Transformations for Robust Application Execution

Author

Diniz, Pedro C., Liao, Chunhua, Quinlan, Daniel J., Lucas, Robert F., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Desprez, Frédéric, editor, Dutot, Pierre-François, editor, Kaklamanis, Christos, editor, Marchal, Loris, editor, Molitorisz, Korbinian, editor, Ricci, Laura, editor, Scarano, Vittorio, editor, Vega-Rodríguez, Miguel A., editor, Varbanescu, Ana Lucia, editor, Hunold, Sascha, editor, Scott, Stephen L., editor, Lankes, Stefan, editor, and Weidendorfer, Josef, editor

Published
2017
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29. Exploiting a Parametrized Task Graph Model for the Parallelization of a Sparse Direct Multifrontal Solver

Author

Agullo, Emmanuel, Bosilca, George, Buttari, Alfredo, Guermouche, Abdou, Lopez, Florent, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Desprez, Frédéric, editor, Dutot, Pierre-François, editor, Kaklamanis, Christos, editor, Marchal, Loris, editor, Molitorisz, Korbinian, editor, Ricci, Laura, editor, Scarano, Vittorio, editor, Vega-Rodríguez, Miguel A., editor, Varbanescu, Ana Lucia, editor, Hunold, Sascha, editor, Scott, Stephen L., editor, Lankes, Stefan, editor, and Weidendorfer, Josef, editor

Published
2017
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30. Task-Based Conjugate Gradient: From Multi-GPU Towards Heterogeneous Architectures

Author

Agullo, E., Giraud, L., Guermouche, A., Nakov, S., Roman, J., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Desprez, Frédéric, editor, Dutot, Pierre-François, editor, Kaklamanis, Christos, editor, Marchal, Loris, editor, Molitorisz, Korbinian, editor, Ricci, Laura, editor, Scarano, Vittorio, editor, Vega-Rodríguez, Miguel A., editor, Varbanescu, Ana Lucia, editor, Hunold, Sascha, editor, Scott, Stephen L., editor, Lankes, Stefan, editor, and Weidendorfer, Josef, editor

Published
2017
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31. A Context-Aware Primitive for Nested Recursive Parallelism

Author

Jordan, Herbert, Thoman, Peter, Zangerl, Peter, Heller, Thomas, Fahringer, Thomas, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Desprez, Frédéric, editor, Dutot, Pierre-François, editor, Kaklamanis, Christos, editor, Marchal, Loris, editor, Molitorisz, Korbinian, editor, Ricci, Laura, editor, Scarano, Vittorio, editor, Vega-Rodríguez, Miguel A., editor, Varbanescu, Ana Lucia, editor, Hunold, Sascha, editor, Scott, Stephen L., editor, Lankes, Stefan, editor, and Weidendorfer, Josef, editor

Published
2017
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32. Task-Based Sparse Hybrid Linear Solver for Distributed Memory Heterogeneous Architectures

Author

Agullo, Emmanuel, Giraud, Luc, Nakov, Stojce, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Desprez, Frédéric, editor, Dutot, Pierre-François, editor, Kaklamanis, Christos, editor, Marchal, Loris, editor, Molitorisz, Korbinian, editor, Ricci, Laura, editor, Scarano, Vittorio, editor, Vega-Rodríguez, Miguel A., editor, Varbanescu, Ana Lucia, editor, Hunold, Sascha, editor, Scott, Stephen L., editor, Lankes, Stefan, editor, and Weidendorfer, Josef, editor

Published
2017
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33. Resource Aggregation for Task-Based Cholesky Factorization on Top of Heterogeneous Machines

Author

Cojean, T., Guermouche, A., Hugo, A., Namyst, R., Wacrenier, P. A., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Desprez, Frédéric, editor, Dutot, Pierre-François, editor, Kaklamanis, Christos, editor, Marchal, Loris, editor, Molitorisz, Korbinian, editor, Ricci, Laura, editor, Scarano, Vittorio, editor, Vega-Rodríguez, Miguel A., editor, Varbanescu, Ana Lucia, editor, Hunold, Sascha, editor, Scott, Stephen L., editor, Lankes, Stefan, editor, and Weidendorfer, Josef, editor

Published
2017
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34. Boosting Java Performance Using GPGPUs

Author

Clarkson, James, Kotselidis, Christos, Brown, Gavin, Luján, Mikel, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Knoop, Jens, editor, Karl, Wolfgang, editor, Schulz, Martin, editor, Inoue, Koji, editor, and Pionteck, Thilo, editor

Published
2017
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35. Using Abstract Interpretation to Correct Synchronization Faults

Author

Ferrara, Pietro, Tripp, Omer, Liu, Peng, Koskinen, Eric, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Bouajjani, Ahmed, editor, and Monniaux, David, editor

Published
2017
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36. Unimem: Runtime Data Management on Non-Volatile Memory-Based Heterogeneous Main Memory for High Performance Computing.

Author

Wu, Kai and Li, Dong

Subjects
HIGH performance computing, DYNAMIC random access memory, DATA management, MEMORY
Abstract

Non-volatile memory (NVM) provides a scalable and power-efficient solution to replace dynamic random access memory (DRAM) as main memory. However, because of the relatively high latency and low bandwidth of NVM, NVM is often paired with DRAM to build a heterogeneous memory system (HMS). As a result, data objects of the application must be carefully placed to NVM and DRAM for the best performance. In this paper, we introduce a lightweight runtime solution that automatically and transparently manages data placement on HMS without the requirement of hardware modifications and disruptive change to applications. Leveraging online profiling and performance models, the runtime solution characterizes memory access patterns associated with data objects, and minimizes unnecessary data movement. Our runtime solution effectively bridges the performance gap between NVM and DRAM. We demonstrate that using NVM to replace the majority of DRAM can be a feasible solution for future HPC systems with the assistance of a software-based data management. [ABSTRACT FROM AUTHOR]

Published
2021
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37. Wear Leveling for Non-Volatile Memory: a Runtime System Approach

Author

Lingyu Zhu, Zhiguang Chen, Fang Liu, and Nong Xiao

Subjects
Garbage collection, non-volatile memory, runtime system, wear leveling, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Recent advances in non-volatile memory (NVM) technology offer more capacity, scalability, and durability than regular volatile memory. However, adopting emerging memory introduces new challenges such as endurance issue and performance degradation. This paper proposes a software wear leveling technique that is designed specifically for a scenario, where the NVM is managed by generational garbage collectors that divide heap into separate young and old space. Prior work found that the majority of write traffic occurs to young generation heap, thus proposed a hybrid generational heap, where the NVM is utilized as old space and DRAM works as young space. We further investigate the access pattern in NVM-contained old generation. This paper first highlights a common observation across various workloads that the write distribution of old space is highly unbalanced. Specifically, among all writes to the NVM, 56%-96% occurs to 2% memory pages, and in worst cases, 83%-96% traffic occurs to only 0.5% pages. This leveling can be achieved by only swapping a very small fraction of NVM pages during the garbage collection cycle, which makes a low performance overhead runtime approach possible. We maintain a write intensity counter for each thread and insert a new garbage collection phase, where a few hottest pages are selected and remapped. Results show our approach significantly mitigates the skewness indicated by Gini coefficient dropping from 0.95 to 0.60, leading to extending lifetime 41 times on average. Meanwhile, it incurs a performance cost of 7.2% longer mutation time measured on emulated memory without performance penalty, and 3.31 % extra stop time for garbage collection cycles.

Published
2018
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38. 基于嵌入式软 PLC 的掘进机控制系统设计.

Author

朱伟, 王虹, 李首滨, and 赵文生

Abstract

Copyright of Journal of Mine Automation is the property of Industry & Mine Automation Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2020
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41. Energy Efficient Runtime Framework for Exascale Systems

Author

Mhedheb, Yousri, Streit, Achim, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Taufer, Michela, editor, Mohr, Bernd, editor, and Kunkel, Julian M., editor

Published
2016
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42. A Proposal to OpenMP for Addressing the CPU Oversubscription Challenge

Author

Yan, Yonghong, Hammond, Jeff R., Liao, Chunhua, Eichenberger, Alexandre E., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Maruyama, Naoya, editor, de Supinski, Bronis R., editor, and Wahib, Mohamed, editor

Published
2016
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43. NUMA-Aware Task Performance Analysis

Author

Schmidl, Dirk, Müller, Matthias S., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Maruyama, Naoya, editor, de Supinski, Bronis R., editor, and Wahib, Mohamed, editor

Published
2016
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44. Code Bones: Fast and Flexible Code Generation for Dynamic and Speculative Polyhedral Optimization

Author

Martinez Caamaño, Juan Manuel, Wolff, Willy, Clauss, Philippe, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Dutot, Pierre-François, editor, and Trystram, Denis, editor

Published
2016
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45. OpenAtom: Scalable Ab-Initio Molecular Dynamics with Diverse Capabilities

Author

Jain, Nikhil, Bohm, Eric, Mikida, Eric, Mandal, Subhasish, Kim, Minjung, Jindal, Prateek, Li, Qi, Ismail-Beigi, Sohrab, Martyna, Glenn J., Kale, Laxmikant V., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Kunkel, Julian M., editor, Balaji, Pavan, editor, and Dongarra, Jack, editor

Published
2016
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46. Constraint Solving-Based Automatic Generation of Mobile Agent Itineraries

Author

Satoh, Ichiro, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Rutkowski, Leszek, editor, Korytkowski, Marcin, editor, Scherer, Rafał, editor, Tadeusiewicz, Ryszard, editor, Zadeh, Lotfi A., editor, and Zurada, Jacek M., editor

Published
2016
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47. Programming Support for Future Parallel Architectures

Author

Benkner, Siegfried, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Kofroň, Jan, editor, and Vojnar, Tomáš, editor

Published
2016
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48. Concurrent Cilk: Lazy Promotion from Tasks to Threads in C/C++

Author

Zakian, Christopher S., Zakian, Timothy A. K., Kulkarni, Abhishek, Chamith, Buddhika, Newton, Ryan R., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Shen, Xipeng, editor, Mueller, Frank, editor, and Tuck, James, editor

Published
2016
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49. HYDRA : Extending Shared Address Programming for Accelerator Clusters

Author

Sakdhnagool, Putt, Sabne, Amit, Eigenmann, Rudolf, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Shen, Xipeng, editor, Mueller, Frank, editor, and Tuck, James, editor

Published
2016
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