Distributed, Parallel, and Cluster Computing · Computer Science
Comparison of HPC Architectures for Computing All-Pairs Shortest Paths. Intel Xeon Phi KNL vs NVIDIA Pascal
Manuel Costanzo, Enzo Rucci, Ulises Costi, Franco Chichizola +1
2021-05-18
Computational Physics · Physics
Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs
O. Kaczmarek, C. Schmidt, P. Steinbrecher, M. Wagner
2014-11-18
High Energy Physics - Lattice · Physics
Lattice QCD with Domain Decomposition on Intel Xeon Phi Co-Processors
Simon Heybrock, Bálint Joó, Dhiraj D. Kalamkar, Mikhail Smelyanskiy +3
2014-12-09
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
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
HISQ inverter on Intel Xeon Phi and NVIDIA GPUs
O. Kaczmarek, C. Schmidt, P. Steinbrecher, Swagato Mukherjee +1
2014-09-05
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
Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU
George Teodoro, Tahsin Kurc, Jun Kong, Lee Cooper +1
2013-11-05
Distributed, Parallel, and Cluster Computing · Computer Science
Performance Engineering for a Medical Imaging Application on the Intel Xeon Phi Accelerator
Johannes Hofmann, Jan Treibig, Georg Hager, Gerhard Wellein
2014-01-16
Instrumentation and Methods for Astrophysics · Physics
Accelerating gravitational microlensing simulations using the Xeon Phi coprocessor
Bin Chen, Ronald Kantowski, Xinyu Dai, Eddie Baron +1
2017-03-30
Distributed, Parallel, and Cluster Computing · Computer Science
Towards Modeling Energy Consumption of Xeon Phi
Gary Lawson, Masha Sosonkina, Yuzhong Shen
2015-05-26
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
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
The Potential of the Intel Xeon Phi for Supervised Deep Learning
Andre Viebke, Sabri Pllana
2015-07-01
Distributed, Parallel, and Cluster Computing · Computer Science
Accelerating Matrix Multiplication: A Performance Comparison Between Multi-Core CPU and GPU
Mufakir Qamar Ansari, Mudabir Qamar Ansari
2025-07-30
Performance · Computer Science
Optimizing Xeon Phi for Interactive Data Analysis
Chansup Byun, Jeremy Kepner, William Arcand, David Bestor +14
2019-12-03
Mathematical Software · Computer Science
Energy efficiency of finite difference algorithms on multicore CPUs, GPUs, and Intel Xeon Phi processors
Satya P. Jammy, Christian T. Jacobs, David J. Lusher, Neil D. Sandham
2017-09-29
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
Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs
Linpeng Tang, Yida Wang, Theodore L. Willke, Kai Li
2018-07-26