High Energy Physics - Lattice · Physics
MILC staggered conjugate gradient performance on Intel KNL
Carleton DeTar, Douglas Doerfler, Steven Gottlieb, Ashish Jha +3
2016-11-04
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
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
Implementation of the conjugate gradient algorithm for heterogeneous systems
Salvatore Cali, William Detmold, Grzegorz Korcyl, Piotr Korcyl +1
2021-12-01
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 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
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 Engineering for a Medical Imaging Application on the Intel Xeon Phi Accelerator
Johannes Hofmann, Jan Treibig, Georg Hager, Gerhard Wellein
2014-01-16
Distributed, Parallel, and Cluster Computing · Computer Science
GHOST: Building blocks for high performance sparse linear algebra on heterogeneous systems
Moritz Kreutzer, Jonas Thies, Melven Röhrig-Zöllner, Andreas Pieper +6
2016-10-05
Mathematical Software · Computer Science
Enhancing data locality of the conjugate gradient method for high-order matrix-free finite-element implementations
Martin Kronbichler, Dmytro Sashko, Peter Munch
2022-05-19
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
Towards Lattice Quantum Chromodynamics on FPGA devices
Grzegorz Korcyl, Piotr Korcyl
2019-12-05
Distributed, Parallel, and Cluster Computing · Computer Science
Improving strong scaling of the Conjugate Gradient method for solving large linear systems using global reduction pipelining
Siegfried Cools, Jeffrey Cornelis, Pieter Ghysels, Wim Vanroose
2019-05-17
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
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
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
Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems
Yuanhang Yu, Dong Wen, Ying Zhang, Xiaoyang Wang +2
2020-06-30