標題: Titlebook: Automatic Tuning of Compilers Using Machine Learning; Amir H. Ashouri,Gianluca Palermo,Cristina Silvano Book 2018 The Author(s) 2018 Embed [打印本頁] 作者: 熱情美女 時間: 2025-3-21 18:51
書目名稱Automatic Tuning of Compilers Using Machine Learning影響因子(影響力)
書目名稱Automatic Tuning of Compilers Using Machine Learning影響因子(影響力)學科排名
書目名稱Automatic Tuning of Compilers Using Machine Learning網絡公開度
書目名稱Automatic Tuning of Compilers Using Machine Learning網絡公開度學科排名
書目名稱Automatic Tuning of Compilers Using Machine Learning被引頻次
書目名稱Automatic Tuning of Compilers Using Machine Learning被引頻次學科排名
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書目名稱Automatic Tuning of Compilers Using Machine Learning年度引用學科排名
書目名稱Automatic Tuning of Compilers Using Machine Learning讀者反饋
書目名稱Automatic Tuning of Compilers Using Machine Learning讀者反饋學科排名
作者: 暫時別動 時間: 2025-3-22 00:11
Design Space Exploration of Compiler Passes: A Co-Exploration Approach for the Embedded Domain,duced hardware complexity. However, they impose higher compiler complexity since the instructions are executed in parallel based on the static compiler schedule. Therefore, finding a promising set of compiler transformations and defining their effects have a significant impact on the overall system 作者: Ascribe 時間: 2025-3-22 03:29
Selecting the Best Compiler Optimizations: A Bayesian Network Approach,best compiler passes. It leverages machine learning and an application characterization to find the most promising optimization passes given an application. This chapter proposes .: Compiler autotuning framework using Bayesian Networks. An autotuning methodology based on machine learning to speed up作者: 你不公正 時間: 2025-3-22 06:04
The Phase-Ordering Problem: An Intermediate Speedup Prediction Approach,p prediction approach followed by a full-sequence prediction approach in the next chapter and we show pros and cons of each approach in detail. Today’s compilers offer a vast number of transformation options to choose among, and this choice can significantly impact on the performance of the code bei作者: insurgent 時間: 2025-3-22 09:18
The Phase-Ordering Problem: A Complete Sequence Prediction Approach,.. Here, we present our full-sequence speedup prediction method called MiCOMP.MiCOMP: .tigating the .piler .hase-ordering problem using optimization sub-sequences and machine learning, is an autotuning framework to mitigate the compiler phase-ordering problem based on machine-learning techniques eff作者: Aerate 時間: 2025-3-22 15:18 作者: Ejaculate 時間: 2025-3-22 20:10 作者: 團結 時間: 2025-3-23 00:18 作者: monologue 時間: 2025-3-23 02:34 作者: arboretum 時間: 2025-3-23 05:31 作者: Inveterate 時間: 2025-3-23 12:25
D. Barceló,R. M. Darbra,B. Bilitewskibest compiler passes. It leverages machine learning and an application characterization to find the most promising optimization passes given an application. This chapter proposes .: Compiler autotuning framework using Bayesian Networks. An autotuning methodology based on machine learning to speed up作者: Ophthalmologist 時間: 2025-3-23 14:08
Lauran van Oers,Ester van der Voetp prediction approach followed by a full-sequence prediction approach in the next chapter and we show pros and cons of each approach in detail. Today’s compilers offer a vast number of transformation options to choose among, and this choice can significantly impact on the performance of the code bei作者: Anonymous 時間: 2025-3-23 21:09
Satellite Imagery Interpretation,.. Here, we present our full-sequence speedup prediction method called MiCOMP.MiCOMP: .tigating the .piler .hase-ordering problem using optimization sub-sequences and machine learning, is an autotuning framework to mitigate the compiler phase-ordering problem based on machine-learning techniques eff作者: 改變立場 時間: 2025-3-24 01:14 作者: Suppository 時間: 2025-3-24 03:02 作者: adumbrate 時間: 2025-3-24 09:03 作者: LIMIT 時間: 2025-3-24 11:01 作者: 發(fā)芽 時間: 2025-3-24 14:53 作者: hereditary 時間: 2025-3-24 22:29 作者: 小母馬 時間: 2025-3-24 23:43
D. Barceló,R. M. Darbra,B. Bilitewskis are carried out on an ARM embedded platform and GCC compiler by considering two benchmark suites with 39 applications. The set of compiler configurations selected by the model (less than 7% of the search space), demonstrated an application performance speedup of up?to 4.6. on Polybench (1.85. on a作者: phlegm 時間: 2025-3-25 06:18 作者: 盲信者 時間: 2025-3-25 07:48 作者: 萬靈丹 時間: 2025-3-25 13:46
2191-530X oad readership, including researchers interested in Computer Architecture, Electronic Design Automation and Machine Learning, as well as computer architects and compiler developers..978-3-319-71488-2978-3-319-71489-9Series ISSN 2191-530X Series E-ISSN 2191-5318 作者: Fresco 時間: 2025-3-25 17:29 作者: 顯示 時間: 2025-3-25 21:19 作者: CLEFT 時間: 2025-3-26 02:40
Selecting the Best Compiler Optimizations: A Bayesian Network Approach,s are carried out on an ARM embedded platform and GCC compiler by considering two benchmark suites with 39 applications. The set of compiler configurations selected by the model (less than 7% of the search space), demonstrated an application performance speedup of up?to 4.6. on Polybench (1.85. on a作者: Minikin 時間: 2025-3-26 07:38
The Phase-Ordering Problem: An Intermediate Speedup Prediction Approach,tion permutations and repetitions and (.) to extract the application dynamic features to predict the next-best optimization to be applied to maximize the performance given the current status. Experimental results are done by assessing the proposed methodology with utilizing two different search heur作者: 胰臟 時間: 2025-3-26 10:18
The Phase-Ordering Problem: A Complete Sequence Prediction Approach,oding technique to application-based reordering of passes while using a number of predictive models. We performed statistical analysis on the prediction space and compared against (i) standard optimization levels O2 and O3, (ii) random iterative compilation, and (iii) two recent non-iterative approa作者: Needlework 時間: 2025-3-26 13:22
Book 2018n and machine learning techniques. It demonstrates that not all the optimization passes are suitable for use within an optimization sequence and that, in fact, many of the available passes tend to counteract one another. After providing a comprehensive survey of currently available methodologies, in作者: 做方舟 時間: 2025-3-26 19:12 作者: 侵略 時間: 2025-3-26 22:47 作者: 增長 時間: 2025-3-27 02:39
Oscar H. Ibarraanized and who should be involved in in-service professional development to promote teacher capacity and commitment to perform their roles in classrooms and communities? What kinds of incentives can motivate teachers’ engagement with various aspects of their work? How do certain educational policies作者: Obscure 時間: 2025-3-27 06:50
Peter Abellby a sum of poles and to determine their coupling constants and eventually also their masses. In nucleon-nucleon scattering this method has been applied for example by Bugg (l) and by Verwest et al. (2). With the advent of total cross-section data in pure spin states, however, it turned out by a det作者: Bravura 時間: 2025-3-27 10:04
Women and Leadership in Sierra Leone,zation was challenged by the nationalist movement for independence of West Africa, led by Isaac Wallace-Johnson of the West African Youth League, which he founded in 1935. He had the support of women such as Constance Cummings-John, a charismatic leader and founder of the Sierra Leone Women’s Moveme作者: ureter 時間: 2025-3-27 16:35 作者: 俗艷 時間: 2025-3-27 20:24 作者: 清唱劇 時間: 2025-3-28 00:02
