Search Results - "Task-based parallel programming"

Task-Based Parallel Programming for Gate Sizing by Mangiras, Dimitrios, Chinnery, David, Dimitrakopoulos, Giorgos

“… In this work, we introduce a task-based parallel programming template that can be used for speeding up timing and power optimization…”
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A taxonomy of task-based parallel programming technologies for high-performance computing by Thoman, Peter, Dichev, Kiril, Heller, Thomas, Iakymchuk, Roman, Aguilar, Xavier, Hasanov, Khalid, Gschwandtner, Philipp, Lemarinier, Pierre, Markidis, Stefano, Jordan, Herbert, Fahringer, Thomas, Katrinis, Kostas, Laure, Erwin, Nikolopoulos, Dimitrios S.

“…Task-based programming models for shared memory—such as Cilk Plus and OpenMP 3—are well established and documented. However, with the increase in parallel,…”
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An approach to task-based parallel programming for undergraduate students by Ayguadé, Eduard, Jiménez-González, Daniel

“…This paper presents the description of a compulsory parallel programming course in the bachelor degree in Informatics Engineering at the Barcelona School of…”
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Cpp-Taskflow: Fast Task-Based Parallel Programming Using Modern C++ by Huang, Tsung-Wei, Lin, Chun-Xun, Guo, Guannan, Wong, Martin

“…In this paper we introduce Cpp-Taskflow, a new C++ tasking library to help developers quickly write parallel programs using task dependency graphs…”
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Wrath: Workload Resilience Across Task Hierarchies in Task-Based Parallel Programming Frameworks by Zhou, Sicheng, Li, Zhuozhao, Hayot-Sasson, Valerie, Pan, Haochen, Gonthier, Maxime, Pauloski, J. Gregory, Chard, Ryan, Chard, Kyle, Foster, Ian

“…Failures in Task-based Parallel Programming (TBPP) can severely degrade performance and result in incomplete or incorrect outcomes…”
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Lifeline-based load balancing schemes for Asynchronous Many-Task runtimes in clusters by Reitz, Mia, Hardenbicker, Kai, Werner, Tobias, Fohry, Claudia

“…A popular approach to program scalable irregular applications is Asynchronous Many-Task (AMT) Programming. Here, programs define tasks according to task models…”
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DuctTeip: An efficient programming model for distributed task-based parallel computing by Zafari, Afshin, Larsson, Elisabeth, Tillenius, Martin

“… Extracting high performance from these complex systems requires tailored approaches. Task-based parallel programming has been successful both in simplifying…”
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Load Balancing Policies for Nested Fork-Join by Reitz, Mia

“…Irregularity in parallel programs is often tackled by dynamic load balancing. Two well-known techniques, namely work sharing and work stealing, were recently…”
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Characterizing and Improving the Performance of Many-Core Task-Based Parallel Programming Runtimes by Bosch, Jaume, Xubin Tan, Alvarez, Carlos, Jimenez-Gonzalez, Daniel, Martorell, Xavier, Ayguade, Eduard

“…Parallel task-based programming models like OpenMP support the declaration of task data dependences. This information is used to delay the task execution until…”
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TEMANEJO - a debugger for task based parallel programming models by Brinkmann, Steffen, Gracia, José, Niethammer, Christoph, Keller, Rainer

“…We present the program Temanejo, a debugger for task based parallelisation models such as StarSs. The challenge in debugging StarSs applications lies in the…”
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Checkpointing vs. Supervision Resilience Approaches for Dynamic Independent Tasks by Posner, Jonas, Reitz, Mia, Fohry, Claudia

“… Irregularity is often addressed by task-based parallel programming coupled with work stealing…”
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US Patent Issued to Kabushiki Kaisha Square Enix on July 29 for "Language for task-based parallel programming" (Japanese Inventor)

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Performance Meets Programmabilty: Enabling Native Python MPI Tasks In PyCOMPSs by Elshazly, Hatem, Lordan, Francesc, Ejarque, Jorge, Badia, Rosa M.

“… We introduce an extension to PyCOMPSs, a high-level task-based parallel programming model for Python applications, to support tasks that use MPI natively as part of the task model…”
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Exploiting Task-Based Parallelism for Parallel Discrete Event Simulation by Wang, Yizhuo, Gao, Zhiwei, Ji, Weixing, Zhang, Han, Qing, Duzheng

“…Today large-scale simulation applications are becoming common in research and industry. A significant fraction of them run on multi-core clusters. Current…”
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FunctionFlow: coordinating parallel tasks by FAN, Xuepeng, LIAO, Xiaofei, JIN, Hai

“…With the growing popularity of task-based parallel programming, nowadays task-parallel programming libraries and languages are still with limited support for coordinating parallel tasks…”
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A programming model for Hybrid Workflows: Combining task-based workflows and dataflows all-in-one by Ramon-Cortes, Cristian, Lordan, Francesc, Ejarque, Jorge, Badia, Rosa M.

“…In the past years, e-Science applications have evolved from large-scale simulations executed in a single cluster to more complex workflows where these…”
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Dalorex: A Data-Local Program Execution and Architecture for Memory-bound Applications by Orenes-Vera, Marcelo, Tureci, Esin, Wentzlaff, David, Martonosi, Margaret

“…Applications with low data reuse and frequent irregular memory accesses, such as graph or sparse linear algebra workloads, fail to scale well due to memory…”
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PufferFish: NUMA-Aware Work-stealing Library using Elastic Tasks by Kumar, Vivek

“… Hierarchical Place Tree (HPT) [1] is a popular approach for improving the locality of a task-based parallel programming model, albeit it requires the programmer to map the dynamically unfolding tasks over a NUMA system evenly…”
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Mitigating the NUMA effect on task-based runtime systems by Maroñas, Marcos, Navarro, Antoni, Ayguadé, Eduard, Beltran, Vicenç

“… We propose a new approach that mitigates the NUMA effect on NUMA systems. Our solution is based on the OmpSs-2 programming model, a task-based parallel programming model, similar to OpenMP…”
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Using intra-core loop-task accelerators to improve the productivity and performance of task-based parallel programs by Kim, Ji, Jiang, Shunning, Torng, Christopher, Wang, Moyang, Srinath, Shreesha, Ilbeyi, Berkin, Al-Hawaj, Khalid, Batten, Christopher

“…Task-based parallel programming frameworks offer compelling productivity and performance benefits for modern chip multi-processors (CMPs…”
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