Search Results - Parallel program execution treating~

Visualizing Hierarchical Performance Profiles of Parallel Codes Using CallFlow by Nguyen, Huu Tan, Bhatele, Abhinav, Jain, Nikhil, Kesavan, Suraj P., Bhatia, Harsh, Gamblin, Todd, Ma, Kwan-Liu, Bremer, Peer-Timo

“…Calling context trees (CCTs) couple performance metrics with call paths, helping understand the execution and performance of parallel programs…”
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Accelerating program execution using hybrid control flow and dataflow architectures by Milutinovic, Veljko, Trifunovic, Nemanja, Korolija, Nenad, Popovic, Jovan, Bojic, Dragan

“… Dataflow architectures solve the computation problem by treating the execution as a factory, where many operations are done in parallel…”
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Visualizing Hierarchical Performance Profiles of Parallel Codes Using CallFlow by Nguyen, Huu Tan, Bhatele, Abhinav, Jain, Nikhil, Kesavan, Suraj P., Bhatia, Harsh, Gamblin, Todd, Ma, Kwan-Liu, Bremer, Peer-Timo

“…Calling context trees (CCTs) couple performance metrics with call paths, helping understand the execution and performance of parallel programs…”
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A Parallel Programming Course Based on an Execution Time-Energy Consumption Optimization Problem by Cuenca, Javier, Gimenez, Domingo

“… The students work with an optimization problem in the field of Parallel Computing. The execution time and the energy consumption of a simplified master-slave scheme…”
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Symbolic Parallel Composition for Multi-language Protocol Verification by Nasrabadi, Faezeh, Kunnemann, Robert, Nemati, Hamed

“… by the interplay of different languages. To address this issue, we establish principles for combining multiple programming languages operating on different atomic types using a symbolic execution semantics…”
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GRADSPH: A parallel smoothed particle hydrodynamics code for self-gravitating astrophysical fluid dynamics by Vanaverbeke, S., Keppens, R., Poedts, S., Boffin, H.

“…We describe the algorithms implemented in the first version of GRADSPH, a parallel, tree-based, smoothed particle hydrodynamics code for simulating self-gravitating astrophysical systems written in FORTRAN 90…”
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A unified approach of program verification: Dedicated to the memory of Antal Iványi by Gregorics, Tibor, Borsi, Zsolt

“… This work considers the program constructs of nondeterministic sequential programs and also deals with the synchronization statement of parallel programs introduced by Owicki and Gries [7…”
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A Latency-Optimal Task Offloading Scheme Using Genetic Algorithm for DAG Applications in Edge Computing by Li, Qinyuan, Peng, Bo, Li, Qiang, Lin, Maosong, Chen, Cheng, Peng, Shilin

“… Scheduling tasks to the edge server for processing can effectively reduce task execution latency for the user device…”
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Dynamic tuning of algorithmic parameters of parallel scientific codes by Kang, Pilsung, Selvarasu, Naresh K.C., Ramakrishnan, Naren, Ribbens, Calvin J., Tafti, Danesh K., Varadarajan, Srinidhi

“…We present a dynamic method for tuning algorithmic parameters of parallel scientific programs…”
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Estimating resource budgets to ensure autotuning efficiency by Olha, Jaroslav, Hozzová, Jana, Antol, Matej, Filipovič, Jiří

“… Autotuning allows a program to be re-optimized for new hardware, settings, or input — even during execution…”
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Development of an isocentric rotating chair positioner to treat patients of head and neck cancer at upright seated position with multiple nonplanar fields in a fixed carbon‐ion beamline by Zhang, Xiang, Hsi, Wen Chien, Yang, Feng, Wang, Zhonghai, Sheng, Yinxiangzi, Sun, Jiayao, Yang, Chaowen, Zhou, Rong

“…∘ for treating head and neck cancer patients at an upright seated position in a fixed carbon‐ion beamline. Methods The preclinical validation of the chair was present for this study funded by a grant through the Shanghai Proton and Heavy Ion Center…”
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EQMO: Equation of motion method for efficient electronic structure calculations by Zhuravlev, V., Hermanowicz, M., Michalewicz, M.T.

“… of a billion atoms on NEC SX-Aurora TSUBASA vector computer. The legacy code has been rewritten in modern free-form Fortran, and the main developments include MPI support and optimisations for parallel execution. Program Title…”
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Making OpenVX Really "Real Time" by Yang, Ming, Amert, Tanya, Yang, Kecheng, Otterness, Nathan, Anderson, James H., Smith, F. Donelson, Wang, Shige

“… This monolithic execution hinders parallelism and can lead to significant processing-capacity loss…”
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Effective dynamic scheduling and memory management on parallel processing systems by Weiss, M., Fang, Z., Morgan, C.R., Belmont, P.

“…An effective dynamic processor self-scheduling scheme is presented for general parallel program constructs in a restructuring compiler…”
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Implementing Breadth-First Search on a Compact Supercomputer Suiren by Mitsuishi, Takuji, Kaneda, Takahiro, Torii, Sunao, Amano, Hideharu

“… A new parallel BFS method called degree-chain traversal (DC) is proposed and implemented on the energy efficient compact supercomputer Suiren…”
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Iterative instructions in the Manchester Dataflow Computer by Bohm, A.P.W., Gurd, J.R.

“… This benefit is apparent at hardware level, giving significantly reduced program execution times…”
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Detecting and Fixing Memory-Related Performance Problems in Managed Languages by Fang, Lu

“… Performance problems are notoriously difficult to find and fix in real-world systems. First, visible performance degradation is often an accumulation of the effects of a great number of invisible problems that scatter all over the program…”
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Economic Security of Smart Contracts and Blockchains by Babel, Kushal

“…). The ideals of permissionless participation, open-source execution, and decentralization bring formidable security challenges…”
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Scalar-Vector GPU Architectures by Chen, Zhongliang

“… The inefficient execution can degrade performance and deteriorate power efficiency. A significant number of SIMD instructions in GPU compute programs demonstrate scalar characteristics, i.e…”
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Predicting application behavior in large scale shared-memory multiprocessors by Harzallah, Karim, Sevcik, Kenneth C.

“…In this paper we present an analytical-based framework for parallel program performance prediction…”
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