Zobrazeno 1 - 10
of 185
pro vyhledávání: '"Bethel, E. Wes"'
Autor:
Bethel, E. Wes, Cramer, Vianna, del Rio, Alexander, Narins, Lothar, Pestano, Chris, Verma, Satvik, Arias, Erick, Bertelli, Nicola, Perciano, Talita, Shiraiwa, Syun'ichi, Villar, Álvaro Sánchez, Wallace, Greg, Wright, John C.
This work presents a detailed case study on using Generative AI (GenAI) to develop AI surrogates for simulation models in fusion energy research. The scope includes the methodology, implementation, and results of using GenAI to assist in model develo
Externí odkaz:
http://arxiv.org/abs/2409.06122
The Fast Fourier Transform (FFT) is a numerical operation that transforms a function into a form comprised of its constituent frequencies and is an integral part of scientific computation and data analysis. The objective of our work is to enable use
Externí odkaz:
http://arxiv.org/abs/2402.01843
Autor:
Bethel, E. Wes, Amankwah, Mercy G., Balewski, Jan, Van Beeumen, Roel, Camps, Daan, Huang, Daniel, Perciano, Talita
The focus of this Visualization Viewpoints article is to provide some background on Quantum Computing (QC), to explore ideas related to how visualization helps in understanding QC, and examine how QC might be useful for visualization with the growth
Externí odkaz:
http://arxiv.org/abs/2310.04937
The proliferation of GPUs and accelerators in recent supercomputing systems, so called heterogeneous architectures, has led to increased complexity in execution environments and programming models as well as to deeper memory hierarchies on these syst
Externí odkaz:
http://arxiv.org/abs/2310.02926
Autor:
Balewski, Jan, Amankwah, Mercy G., Van Beeumen, Roel, Bethel, E. Wes, Perciano, Talita, Camps, Daan
Compact quantum data representations are essential to the emerging field of quantum algorithms for data analysis. We introduce two new data encoding schemes, QCrank and QBArt, which have a high degree of quantum parallelism through uniformly controll
Externí odkaz:
http://arxiv.org/abs/2301.07841
We introduce a novel and uniform framework for quantum pixel representations that overarches many of the most popular representations proposed in the recent literature, such as (I)FRQI, (I)NEQR, MCRQI, and (I)NCQI. The proposed QPIXL framework result
Externí odkaz:
http://arxiv.org/abs/2110.04405
Measurements of absolute runtime are useful as a summary of performance when studying parallel visualization and analysis methods on computational platforms of increasing concurrency and complexity. We can obtain even more insights by measuring and e
Externí odkaz:
http://arxiv.org/abs/2010.02361
DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives
Autor:
Lessley, Brenton, Perciano, Talita, Heinemann, Colleen, Camp, David, Childs, Hank, Bethel, E. Wes
We present a new parallel algorithm for probabilistic graphical model optimization. The algorithm relies on data-parallel primitives (DPPs), which provide portable performance over hardware architecture. We evaluate results on CPUs and GPUs for an im
Externí odkaz:
http://arxiv.org/abs/1809.05018
Visapult is a prototype application and framework for remote visualization of large scientific datasets. We approach the technical challenges of tera-scale visualization with a unique architecture that employs high speed WANs and network data caches
Externí odkaz:
http://arxiv.org/abs/1801.09504