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
Performance · Computer Science
Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL Many-Core Processor
Chansup Byun, Jeremy Kepner, William Arcand, David Bestor +14
2018-03-06
Distributed, Parallel, and Cluster Computing · Computer Science
Enhanced OpenMP Algorithm to Compute All-Pairs Shortest Path on x86 Architectures
Sergio Calderón, Enzo Rucci, Franco Chichizola
2024-07-02
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
Energy-efficiency evaluation of Intel KNL for HPC workloads
E. Calore, A. Gabbana, S. F. Schifano, R. Tripiccione
2018-04-06
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
Distributed, Parallel, and Cluster Computing · Computer Science
Early Experience on Using Knights Landing Processors for Lattice Boltzmann Applications
Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione
2018-04-06
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
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
Accelerating HPC codes on Intel(R) Omni-Path Architecture networks: From particle physics to Machine Learning
Peter Boyle, Michael Chuvelev, Guido Cossu, Christopher Kelly +2
2017-11-15
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
High Energy Physics - Lattice · Physics
MILC Code Performance on High End CPU and GPU Supercomputer Clusters
Ruizi Li, Carleton DeTar, Steven Gottlieb, Doug Toussaint
2017-12-04
Distributed, Parallel, and Cluster Computing · Computer Science
Parallel Algorithm for Time Series Discords Discovery on the Intel Xeon Phi Knights Landing Many-core Processor
Andrey Polyakov, Mikhail Zymbler
2019-01-03
Distributed, Parallel, and Cluster Computing · Computer Science
Performance Optimisation of Smoothed Particle Hydrodynamics Algorithms for Multi/Many-Core Architectures
Fabio Baruffa, Luigi Iapichino, Nicolay J. Hammer, Vasileios Karakasis
2017-09-27
Distributed, Parallel, and Cluster Computing · Computer Science
First Experiences Optimizing Smith-Waterman on Intel's Knights Landing Processor
Enzo Rucci, Carlos Garcia, Guillermo Botella, Armando De Giusti +2
2017-02-24
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
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
Mathematical Software · Computer Science
Optimizing Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures
Shizhao Chen, Jianbin Fang, Donglin Chen, Chuanfu Xu +1
2018-05-31
Computational Physics · Physics
Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs
O. Kaczmarek, C. Schmidt, P. Steinbrecher, M. Wagner
2014-11-18
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
Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor
Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong +4
2013-09-03
Distributed, Parallel, and Cluster Computing · Computer Science
Sparse Matrix-Matrix Multiplication on Multilevel Memory Architectures : Algorithms and Experiments
Mehmet Deveci, Simon D. Hammond, Michael M. Wolf, Sivasankaran Rajamanickam
2018-04-04
Performance · Computer Science
Optimizing Xeon Phi for Interactive Data Analysis
Chansup Byun, Jeremy Kepner, William Arcand, David Bestor +14
2019-12-03