Results 1 to 10 of about 218,129 (345)

Spectral Ewald Acceleration of Stokesian Dynamics for polydisperse suspensions [PDF]

Journal of Computational Physics, 2015
In this work we develop the Spectral Ewald Accelerated Stokesian Dynamics (SEASD), a novel computational method for dynamic simulations of polydisperse colloidal suspensions with full hydrodynamic interactions.
Brady, John F., Wang, Mu
core   +9 more sources

Accelerating ptychographic reconstructions using spectral initializations [PDF]

Optics Letters, 2021
Ptychography is a promising phase retrieval technique for label-free quantitative phase imaging. Recent advances in phase retrieval algorithms witnessed the development of spectral methods to accelerate gradient descent algorithms. Using spectral initializations on experimental data, for the first time, we report three times faster ptychographic ...
Valzania, Lorenzo, Dong, Jonathan, Gigan, Sylvain   +2 more
openaire   +5 more sources

Accelerated spectral approximation [PDF]

Mathematics of Computation, 1998
A systematic development of higher order spectral analysis, introduced by Dellwo and Friedman, is undertaken in the framework of an appropriate product space. Accelerated analogues of Osborn’s results about spectral approximation are presented. Numerical examples are given by considering an integral operator.
Rekha P. Kulkarni, Balmohan V. Limaye, Rafikul Alam, Rafikul Alam   +3 more
openaire   +2 more sources

Accelerating Consensus by Spectral Clustering and Polynomial Filters [PDF]

IEEE Transactions on Control of Network Systems, 2017
It is known that polynomial filtering can accelerate the convergence towards average consensus on an undirected network. In this paper the gain of a second-order filtering is investigated. A set of graphs is determined for which consensus can be attained in finite time, and a preconditioner is proposed to adapt the undirected weights of any given graph
Apers, Simon, Sarlette, Alain
openaire   +7 more sources

SPEC2: SPECtral SParsE CNN Accelerator on FPGAs [PDF]

2019 IEEE 26th International Conference on High Performance Computing, Data, and Analytics (HiPC), 2019
To accelerate inference of Convolutional Neural Networks (CNNs), various techniques have been proposed to reduce computation redundancy. Converting convolutional layers into frequency domain significantly reduces the computation complexity of the sliding window operations in space domain.
Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna, Ajitesh Srivastava, Yanzhi Wang, Kartik Lakhotia, Yue Niu   +6 more
openaire   +3 more sources

Escape-limited Model of Cosmic-ray Acceleration Revisited [PDF]

, 2009
The spectrum of cosmic rays (CRs) is affected by their escape from an acceleration site. This may have been observed not only in the gamma-ray spectrum of young supernova remnants (SNRs) such as RX J1713.7-3946, but also in the spectrum of CRs showering ...
Aharonian, Aharonian, Aharonian, Aharonian, Aharonian, Aloisio, Arons, Bamba, Bamba, Bamba, Begelman, Bell, Bell, Berezhko, Berezhko, Berezhko, Berezinsky, Biermann, Bisnovatyi-Kogan, Blandford, Blandford, Butt, Caprioli, Cronin, Drury, Drury, Drury, Drury, Enomoto, Fujita, Fujita, Gabici, Giacalone, Helder, Inoue, K. Murase, Kachelriess, Kang, Kang, Katagiri, Katz, Krymsky, Lucek, Luo, Malkov, Malkov, Malkov, Murase, Murase, Murase, Ohira, Ohira, Ostriker, Parizot, Pe'er, Pelltier, Ptuskin, Ptuskin, Putze, R. Yamazaki, Rachen, Reville, Reville, Reynolds, Riquelme, Strong, Strong, Takahara, Tanaka, Uchiyama, Vietri, Villante, Vink, Völk, Wang, Warren, Waxman, Y. Ohira, Yamazaki, Yamazaki, Yamazaki   +80 more
core   +1 more source

Accelerated graph-based spectral polynomial filters [PDF]

2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP), 2015
6 pages, 6 figures.
Andrew Knyazev, Alexander Malyshev
openaire   +2 more sources

Termination shock particle spectral features [PDF]

, 2006
Spectral features of energetic H ions accelerated at the termination shock may be evidence of two components. At low energies the energy spectrum is ~E^(–1.55), with break at ~0.4 MeV to E^(–2.2).
Cummings, A. C., Heikkila, B. C., Lal, N., McDonald, F. B., Stone, E. C., Webber, W. R.   +5 more
core   +1 more source

Incorporation of a spectral model in a convolutional neural network for accelerated spectral fitting [PDF]

Magnetic Resonance in Medicine, 2019
PurposeMRSI has shown great promise in the detection and monitoring of neurologic pathologies such as tumor. A necessary component of data processing includes the quantitation of each metabolite, typically done through fitting a model of the spectrum to the data.
Saumya S. Gurbani, Saumya S. Gurbani, Hyunsuk Shim, Hyunsuk Shim, Andrew A. Maudsley, Lee Cooper, Lee Cooper, Sulaiman Sheriff   +7 more
openaire   +3 more sources

On the nonthermal X-ray emission in blazar jets [PDF]

, 1999
We consider particle acceleration to high energy via diffusive shock acceleration in a simple, self-consistent shock in jet model for blazars. Electrons are assumed to be accelerated at a shock front in relativistic jets and radiate synchrotron emission ...
A Mastichiadis, AR Bell, CD Dermer, DB Melrose, IN Toptygin, JG Kirk, JG Kirk, K Mannheim, L Ball, LOC Drury, LOC Drury, M Catanese, M Tashiro, S Sembay, T Takahashi, TJ Bogdan, WI Axford, Y Kohmura   +17 more
core   +2 more sources