In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms, a State-of-the-art (STAR) Report

Autor: Bethel, EW, Bauer, A, Abbasi, H, Ahrens, J, Childs, H, Geveci, B, Klasky, S, Moreland, K, O'Leary, P, Vishwanath, V, Whitlock, B

Publikováno v: Bethel, EW; Bauer, A; Abbasi, H; Ahrens, J; Childs, H; Geveci, B; et al.(2016). In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms, a State-of-the-art (STAR) Report. Computer Graphics Forum. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/93q94959

The considerable interest in the high performance computing (HPC) community regarding analyzing and visualization data without first writing to disk, i.e., in situ processing, is due to several factors. First is an I/O cost savings, where data is ana

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7f90b5638528f907bd0fd719a221ff5d
https://escholarship.org/uc/item/93q94959

Statistical Projections for Multi-dimensional Visual Data Exploration and Analysis

Autor: Bethel, EW, Stone, D, Nguyen, H

Publikováno v: Bethel, EW; Stone, D; & Nguyen, H. (2016). Statistical Projections for Multi-dimensional Visual Data Exploration and Analysis. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/2r03j602

When working with large, multidimensional and multivariate data, science users are frequently interested in understanding variation in data, as opposed to the actual data values. Our work focuses on exploring how a simple statistical metric, the Coef

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______325::1248042bbe698b3695b5937d313f9cdd
http://www.escholarship.org/uc/item/2r03j602

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Quantum-parallel vectorized data encodings and computations on trapped-ion and transmon QPUs.

Autor: Balewski J; National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Amankwah MG; National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.; Department of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University, Cleveland, OH, 44106, USA., Van Beeumen R; Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Bethel EW; Computer Science Department, San Francisco State University, San Francisco, CA, 94132, USA., Perciano T; Scientific Data Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. tperciano@lbl.gov., Camps D; National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. dcamps@lbl.gov.

Publikováno v: Scientific reports [Sci Rep] 2024 Feb 10; Vol. 14 (1), pp. 3435. Date of Electronic Publication: 2024 Feb 10.