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Performance Analysis of GPU Programming Models Using the Roofline Scaling Trajectories

Autor: Ibrahim, KZ, Williams, S, Oliker, L

Performance analysis is a daunting job, especially for the rapid-evolving accelerator technologies. The Roofline Scaling Trajectories technique aims at diagnosing various performance bottlenecks for GPU programming models through the visually intuiti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::080ae964daf7c358f446ebda1f4d85a9
https://escholarship.org/uc/item/5nv5d9b2

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Akademický článek

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Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation

Autor: Koanantakool, P, Ali, A, Azad, A, Buluç, A, Morozov, D, Oliker, L, Yelick, K, Oh, SY

Publikováno v: Koanantakool, P; Ali, A; Azad, A; Buluç, A; Morozov, D; Oliker, L; et al.Storkey, AJ; & Pérez-Cruz, F eds. (2018). Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation.. AISTATS, 84, 1376-1386. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/9w968384
Koanantakool, P; Ali, A; Azad, A; Buluc, A; Morozov, D; Oliker, L; et al.(2018). Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/7tz0395m
AISTATS, vol 84

Across a variety of scientific disciplines, sparse inverse covariance estimation is a popular tool for capturing the underlying dependency relationships in multivariate data. Unfortunately, most estimators are not scalable enough to handle the sizes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e0668c6ca5bc777840f04c172722005
http://www.escholarship.org/uc/item/9w968384

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Akademický článek

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Akademický článek

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LiRa: A New Likelihood-Based Similarity Score for Collaborative Filtering

Autor: Strnadova-Neeley, V, Buluc, A, Gilbert, JR, Oliker, L, Ouyang, W

Publikováno v: Strnadova-Neeley, V; Buluc, A; Gilbert, JR; Oliker, L; & Ouyang, W. (2018). LiRa: A New Likelihood-Based Similarity Score for Collaborative Filtering. UC Santa Barbara: Retrieved from: http://www.escholarship.org/uc/item/3px6g8zk

Recommender system data presents unique challenges to the data mining, machine learning, and algorithms communities. The high missing data rate, in combination with the large scale and high dimensionality that is typical of recommender systems data,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d483c22f1c3998cfb2c620b61874e37
https://escholarship.org/uc/item/3px6g8zk

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Exploiting Thread Parallelism for Ocean Modeling on Cray XC Supercomputers

Autor: Sarje, A, Jacobsen, D, Williams, S, Ringler, T, Oliker, L

Publikováno v: Sarje, A; Jacobsen, D; Williams, S; Ringler, T; & Oliker, L. (2016). Exploiting Thread Parallelism for Ocean Modeling on Cray XC Supercomputers. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/1kd706h2

The incorporation of increasing core counts in modern processors used to build state-of-the-art supercomputers is driving application development towards exploitation of thread parallelism, in addition to distributed memory parallelism, with the goal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1f1bb217301c5f18fb039cdcc36747c6
https://escholarship.org/uc/item/1kd706h2

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Roofline model toolkit: A practical tool for architectural and program analysis

Autor: Lo, YJ, Williams, S, Van Straalen, B, Ligocki, TJ, Cordery, MJ, Wright, NJ, Hall, MW, Oliker, L

Publikováno v: Lo, YJ; Williams, S; Van Straalen, B; Ligocki, TJ; Cordery, MJ; Wright, NJ; et al.(2015). Roofline model toolkit: A practical tool for architectural and program analysis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8966, 129-148. doi: 10.1007/978-3-319-17248-4_7. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/9rj9s4b6

© Springer International Publishing Switzerland 2015. We present preliminary results of theRooflineToolkit formulticore, manycore, and accelerated architectures. This paper focuses on the processor architecture characterization engine, a collection

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::24de999dbf9e809684704bac31c46643
https://escholarship.org/uc/item/9rj9s4b6

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Performance Characterization for Fusion Co-design Applications

Autor: Narayanan, P, Koniges, A, Oliker, L, Preissl, R, Williams, S, Wright, N, Umansky, M, Xu, X, Ethier, S, Wang, W, Candy, J, Cary, J

Publikováno v: Narayanan, P; Koniges, A; Oliker, L; Preissl, R; Williams, S; Wright, N; et al.(2011). Performance Characterization for Fusion Co-design Applications. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/4n56s6mn

Magnetic fusion is a long-term solution for producing electrical power for the world, and the large thermonuclear international device (ITER) being constructed will produce net energy and a path to fusion energy provided the computer modeling is accu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::217c19a7568e8cdad27efe58d7ee169e
http://www.escholarship.org/uc/item/4n56s6mn

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