A Compressed Data Partition and Loop Scheduling Scheme for Neural Networks

Autor: Dejian Li, Rongqiang Fang, Jing Wang, Dongyan Zhao, Ting Chong, Zengmin Ren, Jun Ma

Publikováno v: IEEE Access, Vol 10, Pp 95219-95228 (2022)

Neural networks (NNs) have been widely adopted in various application domains. Deeper NNs greatly enhance the output accuracy, but complex NNs with more parameters incur intensive memory accesses, and the data usually need to be partitioned since it

Externí odkaz: https://doaj.org/article/42a23a8f535546dbb1bb5781d7433cf8

Knowledge-Based Optimal Irrigation Scheduling of Agro-Hydrological Systems

Autor: Soumya R. Sahoo, Bernard T. Agyeman, Sarupa Debnath, Jinfeng Liu

Publikováno v: Sustainability, Vol 14, Iss 1304, p 1304 (2022)
Sustainability; Volume 14; Issue 3; Pages: 1304

Agricultural irrigation consumes about 70% of freshwater globally every year. To improve the water-use efficiency in agricultural irrigation is critical as we move toward water sustainability. An irrigation scheduler determines how much water to irri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bc8ffd76f5353efa1fc289ec94f01fc
https://www.mdpi.com/2071-1050/14/3/1304

Stability of optimal closed-loop cleaning scheduling and control with application to heat exchanger networks under fouling

Autor: Sandro Macchietto, Federico Lozano Santamaria

Publikováno v: Processes, Vol 8, Iss 1623, p 1623 (2020)
Processes
Volume 8
Issue 12

Heat exchanger networks subject to fouling are an important example of dynamic systems where performance deteriorates over time. To mitigate fouling and recover performance, cleanings of the exchangers are scheduled and control actions applied. Becau

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::641fb307c656062fa6add193b40ebf6c
http://hdl.handle.net/10044/1/85738

A comprehensive performance evaluation of the BinLPT workload‐aware loop scheduler

Autor: Antônio Tadeu A. Gomes, Henrique Freitas, Márcio Castro, Jean-François Méhaut, Patricia Della Mea Plentz, Pedro Henrique Penna, François Broquedis

Publikováno v: Concurrency and Computation: Practice and Experience
Concurrency and Computation: Practice and Experience, Wiley, 2019, 31 (18), pp.1-22. ⟨10.1002/cpe.5170⟩
Concurrency and Computation: Practice and Experience, 2019, 31 (18), pp.1-22. ⟨10.1002/cpe.5170⟩

International audience; Workload-aware loop schedulers were introduced to deliver better performance than classical loop scheduling strategies. However, they presented limitations such as inexible built-in workload estimators and suboptimal chunk sch

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e5e6c0891c6aa15858a058f035ba48f
https://doi.org/10.1002/cpe.5170

P-Aevol: an OpenMP Parallelization of a Biological Evolution Simulator, Through Decomposition in Multiple Loops

Autor: Thierry Gautier, Christian Pérez, Laurent Turpin, Jonathan Rouzaud-Cornabas

Publikováno v: OpenMP: Portable Multi-Level Parallelism on Modern Systems
16th International Workshop on OpenMP
16th International Workshop on OpenMP, Sep 2020, Austin, United States. pp.52-66, ⟨10.1007/978-3-030-58144-2_4⟩
OpenMP: Portable Multi-Level Parallelism on Modern Systems ISBN: 9783030581435
IWOMP

International audience; This paper presents how we have achieved the parallelization of Aevol, a biological evolution simulator, on multi-core architecture using the OpenMP standard. While it looks like a simple for-loop problem with independent iter

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88fe881d8681666b9d0a8abfbcb41012
https://hal.inria.fr/hal-02962838/file/p03_turpin.pdf