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DTSTART;TZID=America/Chicago:20181112T090000
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UID:submissions.supercomputing.org_SC18_sess158@linklings.com
SUMMARY:9th Workshop on Latest Advances in Scalable Algorithms for Large-S
 cale Systems
DESCRIPTION:Workshop\nAlgorithms, Heterogeneous Systems, Resiliency, Works
 hop Reg Pass\n\nIntroduction - 9th Workshop on Latest Advances in Scalable
  Algorithms for Large-Scale Systems\n\nAlexandrov, Geist, Dongarra, Engelm
 ann\n\nNovel scalable scientific algorithms are needed in order to enable 
 key science applications to exploit the computational power of large-scale
  systems. This is especially true for the current tier of leading petascal
 e machines and the road to exascale computing as HPC systems continue to s
 cale up in ...\n\n---------------------\nCommunication Reduced Multi-Times
 tep Algorithm for Real-Time Wind Simulation on GPU-Based Supercomputers\n\
 nOnodera, Idomura, Ali, Shimokawabe\n\nWe develop a communication reduced 
 multi-time-step (CRMT) algorithm for a Lattice Boltzmann method (LBM) base
 d on a block-structured adaptive mesh refinement (AMR). This algorithm is 
 based on the temporal blocking method, and can improve computational effic
 iency by replacing a communication bottlene...\n\n---------------------\nD
 ynamic Load Balancing of Plasma and Flow Simulations\n\nDiamond, Smith, Yo
 on, Shephard\n\nExtracting performance from simulations with complex infor
 mation dependencies\non massively parallel computers requires the comput
 ational work to be evenly\ndistributed across the processing resources w
 hile maintaining low\ncommunication costs.\nPlasma simulations using a
  particle-in-cell method...\n\n---------------------\nShift-Collapse Accel
 eration of Generalized Polarizable Reactive Molecular Dynamics for Machine
  Learning-Assisted Computational Synthesis of Layered Materials\n\nLiu, Ti
 wari, Sheng, Krishnamoorthy, Hong...\n\nReactive molecular dynamics is a p
 owerful simulation method for describing chemical reactions. Here, we intr
 oduce a new generalized polarizable reactive force-field (ReaxPQ+) model t
 o significantly improve the accuracy by accommodating the reorganization o
 f surrounding media. The increased computati...\n\n---------------------\n
 Iterative Randomized Algorithms for Low Rank Approximation of Terascale Ma
 trices with Small Spectral Gaps\n\nIyer, Gittens, Carothers, Drineas\n\nRa
 ndomized approaches for low rank matrix approximations have become popular
  in recent years and often offer significant advantages over classical alg
 orithms because of their scalability and numerical robustness on distribut
 ed memory platforms. We present a distributed implementation of randomized
  b...\n\n---------------------\nCommunication Avoiding Multigrid Precondit
 ioned Conjugate Gradient Method for Extreme Scale Multiphase CFD Simulatio
 ns\n\nIdomura, Ina, Yamashita, Onodera, Yamada...\n\nA communication avoid
 ing (CA) multigrid preconditioned conjugate gradient method  (CAMGCG) is a
 pplied to the pressure Poisson equation in a multiphase CFD code JUPITER, 
 and its computational performance and convergence property are compared ag
 ainst CA Krylov methods. A new geometric multigrid precon...\n\n----------
 -----------\nMachine Learning-Aided Numerical Linear Algebra:  Convolution
 al Neural Networks for the Efficient Preconditioner Generation\n\nGötz\n\n
 Markus Götz received his Bachelors and Masters degree in Software Engineer
 ing from the University of Potsdam in 2010 and 2014 respectively. Afterwar
 ds, he has been with the Research Center Jülich and the University of Icel
 and, from which Markus obtained his PhD degree in Computational Engineerin
 g fo...\n\n---------------------\nA General-Purpose Hierarchical Mesh Part
 itioning Method with Node Balancing Strategies for Large-Scale Numerical S
 imulations\n\nKong, Stogner, Gaston, Peterson, Permann...\n\nLarge-scale p
 arallel numerical simulations are essential for a wide range of engineerin
 g problems\nthat involve complex, coupled physical processes interacting
  across a broad range of spatial\nand temporal scales. The data structur
 es involved in such simulations (meshes, sparse matrices, etc.) are...\n\n
 ---------------------\nNon-Collective Scalable Global Network Based on Loc
 al Communications\n\nBerghoff, Kondov\n\nTo efficiently perform collective
  communications in current high-performance computing systems is a time-co
 nsuming task.\nWith future exascale systems, this communication time will 
 be increased further.\nHowever, global information is frequently required 
 in various physical models.\nBy exploiting domai...\n\n-------------------
 --\nIntroduction\n\nAlexandrov\n\n---------------------\nKeynote 1: A Few 
 Scheduling Problems for Resilience at Scale\n\nRobert\n\nThe talk will add
 ress scheduling problems related to multi-level checkpointing, IO interfer
 ence,\nsilent errors detection and correction, and workflows.\n\n---------
 ------------\nKeynote 2: HPC and AI as Drivers for Industrial Engagement\n
 \nKennedy\n\nThe Hartree Centre is transforming UK industry through high p
 erformance computing, big data and cognitive technologies. Backed by over 
 £170 million of government funding and significant strategic partnerships 
 with organisations such as IBM and Atos, the Hartree Centre is home to som
 e of the most tec...\n\n---------------------\nKeynote 3: Hierarchical Alg
 orithms on Hierarchical Architectures\n\nKeyes\n\nSome algorithms achieve 
 optimal arithmetic complexity with low arithmetic intensity (flops/Byte), 
 or possess high arithmetic intensity but lack optimal complexity, while so
 me hierarchical algorithms, such as Fast Multipole and its H-matrix algebr
 aic generalizations, realize a combination of optimal ...\n\n-------------
 --------\nWorkshop Morning Break\n\n\n\n---------------------\nWorkshop Af
 ternoon Break\n\n\n\n---------------------\nWorkshop Lunch (on your own)\n
 \n\n\n---------------------\nEvent-Triggered Communication in Parallel Com
 puting\n\nGhosh, Saha, Gupta, Tryggvason\n\nCommunication overhead in para
 llel systems can be a significant bottleneck in scaling up parallel comput
 ation. In this paper, we propose event-triggered communication methods to 
 reduce such communication overhead for numerical simulation of partial dif
 ferential equations. As opposed to traditional c...\n\n-------------------
 --\nLow Thread-Count Gustavson: A Multithreaded Algorithm for Sparse Matri
 x-Matrix Multiplication Using Perfect Hashing\n\nElliott, Siefert\n\nSpars
 e matrix-matrix multiplication is a critical kernel for several scientific
  computing applications, especially the setup phase of algebraic multigrid
 . The MPI+X programming model, which is growing in popularity, requires th
 at such kernels be implemented in a way that exploits on-node parallelism.
 ..\n\n---------------------\nOn Advanced Monte Carlo Methods for Linear Al
 gebra on Advanced Accelerator Architectures\n\nLebedev, Alexandrov\n\nIn t
 his paper we present computational experiments performed using the Markov 
 Chain Monte Carlo Matrix Inversion (MCMCMI) on several architectures of NV
 IDIA accelerators and two iterations of the Intel x86 architecture and inv
 estigate their impact on performance and scalability of the method.\nThe m
 e...\n
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