Distributed, Parallel, and Cluster Computing · Computer Science
Benchmarking with Supernovae: A Performance Study of the FLASH Code
Joshua Martin, Catherine Feldman, Eva Siegmann, Tony Curtis +6
2024-08-30
Distributed, Parallel, and Cluster Computing · Computer Science
An Empirical Study of Intel Xeon Phi
Jianbin Fang, Ana Lucia Varbanescu, Henk Sips, Lilun Zhang +2
2013-12-23
Distributed, Parallel, and Cluster Computing · Computer Science
Towards Modeling Energy Consumption of Xeon Phi
Gary Lawson, Masha Sosonkina, Yuzhong Shen
2015-05-26
Performance · Computer Science
Optimizing Xeon Phi for Interactive Data Analysis
Chansup Byun, Jeremy Kepner, William Arcand, David Bestor +14
2019-12-03
Distributed, Parallel, and Cluster Computing · Computer Science
Co-design of a particle-in-cell plasma simulation code for Intel Xeon Phi: a first look at Knights Landing
Igor Surmin, Sergey Bastrakov, Zakhar Matveev, Evgeny Efimenko +2
2016-08-04
Distributed, Parallel, and Cluster Computing · Computer Science
Splotch: porting and optimizing for the Xeon Phi
Timothy Dykes, Claudio Gheller, Marzia Rivi, Mel Krokos
2016-06-15
Distributed, Parallel, and Cluster Computing · Computer Science
Performance Analysis and Efficient Execution on Systems with multi-core CPUs, GPUs and MICs
George Teodoro, Tahsin Kurc, Guilherme Andrade, Jun Kong +2
2015-05-15
Distributed, Parallel, and Cluster Computing · Computer Science
Honing and proofing Astrophysical codes on the road to Exascale. Experiences from code modernization on many-core systems
Salvatore Cielo, Luigi Iapichino, Fabio Baruffa, Matteo Bugli +1
2020-06-08
Computational Physics · Physics
Multi-threaded Geant4 on the Xeon-Phi with Complex High-Energy Physics Geometry
Steven Farrell, Andrea Dotti, Makoto Asai, Paolo Calafiura +1
2016-05-27
Distributed, Parallel, and Cluster Computing · Computer Science
Efficient Hybrid Execution of C++ Applications using Intel(R) Xeon Phi(TM) Coprocessor
Jiri Dokulil, Enes Bajrovic, Siegfried Benkner, Sabri Pllana +2
2012-11-26
Computational Physics · Physics
Explorations of the viability of ARM and Xeon Phi for physics processing
David Abdurachmanov, Kapil Arya, Josh Bendavid, Tommaso Boccali +8
2014-10-24
Performance · Computer Science
Performance analysis of a 240 thread tournament level MCTS Go program on the Intel Xeon Phi
S. Ali Mirsoleimani, Aske Plaat, Jos Vermaseren, Jaap van den Herik
2014-11-10
Distributed, Parallel, and Cluster Computing · Computer Science
Deep and Shallow convections in Atmosphere Models on Intel Xeon Phi Coprocessor Systems
Srinivasan Ramesh, Sathish Vadhiyar, Ravi Nanjundiah, PN Vinayachandran
2017-11-02
Cosmology and Nongalactic Astrophysics · Physics
CosmoFlow: Using Deep Learning to Learn the Universe at Scale
Amrita Mathuriya, Deborah Bard, Peter Mendygral, Lawrence Meadows +13
2018-11-13
Computational Physics · Physics
Particle-in-Cell Laser-Plasma Simulation on Xeon Phi Coprocessors
I. A. Surmin, S. I. Bastrakov, E. S. Efimenko, A. A. Gonoskov +2
2016-08-05
Distributed, Parallel, and Cluster Computing · Computer Science
Performance Characterization of Multi-threaded Graph Processing Applications on Intel Many-Integrated-Core Architecture
Lei Jiang, Langshi Chen, Judy Qiu
2019-02-26
Distributed, Parallel, and Cluster Computing · Computer Science
Model-based optimization of MPDATA on Intel Xeon Phi through load imbalancing
Alexey Lastovetsky, Lukasz Szustak, Roman Wyrzykowski
2015-07-07
Distributed, Parallel, and Cluster Computing · Computer Science
Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU
George Teodoro, Tahsin Kurc, Jun Kong, Lee Cooper +1
2013-11-05
Instrumentation and Methods for Astrophysics · Physics
ELT-scale Adaptive Optics real-time control with the Intel Xeon Phi Many Integrated Core Architecture
David Jenkins, Alastair Basden, Richard Myers
2018-05-25
Performance · Computer Science
Tuning Streamed Applications on Intel Xeon Phi: A Machine Learning Based Approach
Peng Zhang, Jianbin Fang, Tao Tang, Canqun Yang +1
2018-02-09
Distributed, Parallel, and Cluster Computing · Computer Science
The Potential of the Intel Xeon Phi for Supervised Deep Learning
Andre Viebke, Sabri Pllana
2015-07-01