Resources

We have collected presentations from IXPUG workshops, annual meetings, and BOF sessions, and made them accessible here to view or download. You may search by event, keyword, science domain or author’s name. The database will be updated as new talks are made available.

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Search ResultShowing 1 - 10 of 270 Results

IXPUG Annual Meeting 2016 Oct 12, 2018

The Intel Xeon Phi Users Group Intro

Keyword(s): ixpug

Author : IXPUG User Group
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IXPUG Annual Meeting 2016 Oct 12, 2018

DOE and NIH Partners Cancer and Brain

Keyword(s): ixpug

Author : Argonne, Rick Stevens
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IXPUG Annual Meeting 2016 Oct 12, 2018

Many-core architectures such as Intel Knights Landing (KNL) are seeing widespread adoption in current and next-generation supercomputing systems due to their power/performance ratio. However, this increased density of the compute nodes and the performance characteristics of the new architecture bring in a new set of challenges that must be tackled to extract the best performance. In this work, we present some of the advanced designs to tackle such challenges in the MVAPICH2 MPI library on the KNL architecture. In particular, we focus on the following aspects --- a) how MVAPICH2 achieves fast and scalable startup on the KNL+Omni-Path architecture, b) contention-aware, kernel-assisted designs for large-message intra-node collectives, and c) designs for scalable reduction operations on different message sizes. We also compare the proposed designs against other state-of-the-art MPI libraries such as Intel MPI and OpenMPI. Experimental evaluations show that the proposed designs offer significant improvements in terms of time to launch large-scale jobs, performance of intra-node and inter-node collectives, and performance of applications.

Keyword(s): ixpug

Author : Pavan Balaji, Argonne National Laboratory
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ECP Annual Meeting, February 1, 2017 Oct 12, 2018

Tiger teams intro

Keyword(s): ixpug user

Author : Ixpug User
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IXPUG Annual Meeting 2016 Oct 12, 2018

Annual Meeting of the Intel Xeon Phi Users Group

Keyword(s): ixpug user

Author : IXPUG User Group
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IXPUG US Annual Meeting 2014 Oct 12, 2018

MVAPICH2 and MVAPICH2-MIC: Latest Status

Keyword(s): ixpug

Author : Dhabaleswar (DK) Panda, Khaled Hamidouche
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ECP Annual Meeting, February 1, 2017 Oct 12, 2018

Libsim runs on Stampede 2

Keyword(s): ixpug user

Author : Intelligent Light, Applied Research Group
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IXPUG BoF SC16 Oct 12, 2018

"Weather Research and Forecasting Model (WRF) is one of the most used models in Earth Sciences related fields. WRF code consumes significant core-hours on our Shaheen II XC40 supercomputer. The purpose of this study is to evaluate its performance on Intel Xeon Phi Knights Landing processor (KNL). Our test platform is a workstation equipped with an Intel KNL 7210, with 64 cores at 1.3Ghz, obtained through Intel’s developer access program. We compare WRF code performance on this workstation to one node of Shaheen II XC40 supercomputer, a dual socket Haswell with 16 cores per socket at 2.3Ghz. As a test case, we use the well-known domain Conus 12km on the latest WRF v3.8.1 and we try to investigate most of the approaches that we can use to identify the best execution of WRF on Intel KNL. We test and evaluate the performance of the code while using all the clustering modes with various combinations of MCDRAM usage. Moreover, we investigate the threads placement on the KNL through environment variables, the various affinity modes provided by Intel environment and we take advantage of the numtiles settings that WRF provide to achieve better performance. According to our experiments, the best performance achieved on the Intel KNL exhibits up to 20% performance improvement in comparison to a Shaheen II XC40 node, excluding I/O time."

Keyword(s): ixpug user

Author : George S. Markomanolis, Saber Feki
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ISC16 BOF Oct 12, 2018

Profiling Tools for KNL

Keyword(s): ixpug user

Author : Carols Rosales
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ISC16 Workshop Oct 12, 2018

Moderniasation of the AVBP code for KNL. Performance and Optimisation tips using Intel Vector advisor

Keyword(s): ixpug user

Author : Zakhar Matveev, Georg Zitzlsberger, G Staffelbach, J Legaux, K. D. Oertel, L Duhem
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