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 356 Results

IXPUG SC18 BOF Nov 30, 2018

Many-core oriented lightweight kernel named McKernel

Keyword(s): SC18,BOF,kernel

Author : NA
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IXPUG SC18 BOF Nov 28, 2018

Update on Machine Learning for Large-Scale Weather and Climate Prediction.

Keyword(s): SC18,BOF,machine learning,weather

Author : Hatem Ltaief
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IXPUG SC18 BOF Nov 28, 2018

Update from IXPUG Software Defined Visualization Workshop held at Argonne in July 2018.

Keyword(s): SC18,BOF,visualization

Author : Paul A. Navratil
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IXPUG SC18 BOF Nov 28, 2018

Machine Learning at Scale - Lightning Talk at SC18 BOF

Keyword(s): SC18,BOF,machine learning

Author : Wahid Bhimji
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IXPUG SC18 BOF Nov 28, 2018

OmniPath deployment on Bridges system at PSC to new user communities

Keyword(s): SC18,BOF,Omnipath,OPA

Author : Richard Underwood
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IXPUG SC18 BOF Nov 28, 2018

Update on Address Hashing and Snoop Filters -- new information since IXPUG Fall 2018 Workshop

Keyword(s): SC18,BOF,snoop filters

Author : John D. McCalpin
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IXPUG SC18 BOF Nov 28, 2018

Introduction to IXPUG and Overview

Keyword(s): SC18,BOF

Author : David Martin
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IXPUG Annual Fall Conference 2018 Nov 27, 2018

We are at an unprecedented convergence of massive compute with massive data ... This confluence will have a lasting impact on both how we do computing and what computing can do for us!

Keyword(s): artificial intelligence,HPC,cloud

Author : Pradeep Dubey
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IXPUG ISC17 Nov 22, 2018

In this paper we present the results of optimizing the performance of the gyrokinetic full-f fusion PIC code XGC1 on the Cori Phase 2 Knights Landing system. The code has undergone substantial development to enable the use of vector instructions in its most expensive kernels within the NERSC Exascale Science Applications Program. We study the single-node performance of the code on an absolute scale using the roofline methodology to guide optimization efforts. We have obtained 2x speedups in single node performance due to enabling vectorization and performing memory layout optimizations. On multiple nodes, the code is shown to scale well up to 4000 nodes, near half the size of the machine. We discuss some communication bottlenecks that were identified and resolved during the work.

Keyword(s): ixpug

Author : T. Koskela, J. Deslippe
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IXPUG ISC17 Nov 22, 2018

Today's multi- and many-core systems have NUMA nodes, sockets, tiles, cores, and Symmetric Multi-Threading (SMT) which may require complicated affinity settings to optimally map processes to processors. In many-core systems with hundreds of processors, evaluating the affinity of a single process by surveying a list of processor numbers is time consuming and error prone. Comparing two or more process affinities is even more troublesome. The amask tool displays all process affinities as an easy-to-read matrix of processor-ids versus ranks and/or thread-ids, allowing researchers to quickly confirm default settings and the effect of manipulating affinity, either before or during a parallel execution (through a stand-alone executable or API, respectively).

Keyword(s): ixpug

Author : Kent Milfeld
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