Search Results - "Parallel Programs"

HPCTOOLKIT: tools for performance analysis of optimized parallel programs by Adhianto, L., Banerjee, S., Fagan, M., Krentel, M., Marin, G., Mellor-Crummey, J., Tallent, N. R.

“…HPCTOOLKIT is an integrated suite of tools that supports measurement, analysis, attribution, and presentation of application performance for both sequential and parallel programs…”
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Bright z ∼ 9 Galaxies in Parallel: The Bright End of the Rest-frame UV Luminosity Function from HST Parallel Programs by Bagley, Micaela B., Finkelstein, Steven L., Rojas-Ruiz, Sofía, Diekmann, James, Finkelstein, Keely D., Song, Mimi, Papovich, Casey, Somerville, Rachel S., Baronchelli, Ivano, Dai, Y. Sophia

“…The abundance of bright galaxies at z > 8 can provide key constraints on models of galaxy formation and evolution, as the predicted abundance varies greatly…”
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Analyzing Parallel Programs with PIN by Bach, M., Charney, M., Cohn, R., Demikhovsky, E., Devor, T., Hazelwood, K., Jaleel, A., Chi-Keung Luk, Lyons, G., Patil, H., Tal, A.

“…Software instrumentation provides the means to collect information on and efficiently analyze parallel programs…”
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Disentanglement in nested-parallel programs by Westrick, Sam, Yadav, Rohan, Fluet, Matthew, Acar, Umut A.

“…, Java, Haskell, and ML. Yet, writing efficient and scalable nested parallel programs remains challenging, primarily due to difficult concurrency bugs arising from destructive updates or effects…”
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Structural testing for communication events into loops of message‐passing parallel programs by Diaz, Silvia M. D., Souza, Paulo S. L., Souza, Simone R. S.

“…There is a growing demand for correct parallel programs, mainly due to nowadays availability of parallel architectures…”
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The Role of Idle Waves, Desynchronization, and Bottleneck Evasion in the Performance of Parallel Programs by Afzal, Ayesha, Hager, Georg, Wellein, Gerhard

“…The performance of highly parallel applications on distributed-memory systems is influenced by many factors. Analytic performance modeling techniques aim to…”
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Deductively Verifying Functional Scalable Parallel Programs with Why3 by Loulergue, Frédéric, Proust, Olivia

“…Bulk Synchronous Parallelism (BSP) is a simple, yet realistic, model of scalable parallel computing. BSML is a pure functional library for the multi-paradigm…”
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Autotuning Parallel Programs by Model Checking by Garanina, N. O., Gorlatch, S. P.

“…This paper presents a new approach to autotuning data-parallel programs. Autotuning is a search for optimal program settings, which maximize its performance…”
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Automation of Debugging Parallel Programs in the DVM System by Bakhtin, V. A.

“…Debugging parallel programs is a labor-intensive and nontrivial task. Parallel algorithms are usually significantly more complex than their sequential counterparts for the same problems…”
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Design-time performance modeling of compositional parallel programs by Czappa, Fabian, Calotoiu, Alexandru, Höhl, Thomas, Mantel, Heiko, Nguyen, Toni, Wolf, Felix

“…Performance models are powerful instruments for understanding the performance of parallel systems and uncovering their bottlenecks. Already during system…”
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Improving Cache Utilization of Nested Parallel Programs by Almost Deterministic Work Stealing by Shiina, Shumpei, Taura, Kenjiro

“…Nested (fork-join) parallelism eases parallel programming by enabling high-level expression of parallelism and leaving the mapping between parallel tasks and…”
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TAPAS: generating parallel accelerators from parallel programs by Margerm, Steven, Sharifian, Amirali, Guha, Apala, Shriraman, Arrvindh, Pokam, Gilles

“…High-level-synthesis (HLS) tools generate accelerators from software programs to ease the task of building hardware. Unfortunately, current HLS tools have…”
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Reversing Imperative Parallel Programs by Hoey, James, Ulidowski, Irek, Yuen, Shoji

“…We propose an approach and a subsequent extension for reversing imperative programs. Firstly, we produce both an augmented version and a corresponding inverted…”
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Visualizing a Moving Target: A Design Study on Task Parallel Programs in the Presence of Evolving Data and Concerns by Williams, Katy, Bigelow, Alex, Isaacs, Kate

“…Common pitfalls in visualization projects include lack of data availability and the domain users' needs and focus changing too rapidly for the design process…”
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Design-time performance modeling of compositional parallel programs by Czappa, Fabian, Calotoiu, Alexandru, Höhl, Thomas, Mantel, Heiko, Nguyen, Toni, Wolf, Felix

“…Performance models are powerful instruments for understanding the performance of parallel systems and uncovering their bottlenecks. Already during system…”
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A novel method of grouping target paths for parallel programs by Gong, Dunwei, Tian, Tian, Wang, Jinxin, Du, Ying, Li, Zheng

“…•The problem of grouping traget paths for parallel programs is focused on.•The measurement of the path similarity is refined when grouping target paths…”
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A feedback-directed method of evolutionary test data generation for parallel programs by Gong, Dunwei, Pan, Feng, Tian, Tian, Yang, Su, Meng, Fanlin

“… Test data of a parallel program include not only the program input, but also the communication information between each pair of processes…”
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Parallel programs execution optimization using behavior control in LuNA system by Malyshkin, Victor, Akhmed-Zaki, Darkhan, Perepelkin, Vladislav

“… This allows implementing the algorithm by automatic construction of various parallel programs, which possess different non-functional properties, such as execution time, memory consumption, network workload…”
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Autotuning Parallel Programs by Model Checking by Garanina, Natalia Olegovna, Gorlatch, Sergei Petrovich

“…The paper presents a new approach to autotuning data-parallel programs. Autotuning is a search for optimal program settings which maximize its performance…”
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Multi-Objective region-Aware optimization of parallel programs by Durillo, Juan J., Gschwandtner, Philipp, Kofler, Klaus, Fahringer, Thomas

“…•A study of the computed trade-off in terms of the three considered criteria. Auto-tuning has become increasingly popular for optimizing non-functional parameters of parallel programs…”
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