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Parallel LU factorization of sparse matrices on FPGA-based configurable computing engines

Xiaofang Wang, Sotirios G. Ziavras
<span title="2004-02-20">2004</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/o454xj4tdjfllm3oragfkdrffi" style="color: black;">Concurrency and Computation</a> </i> &nbsp;
In this paper, we describe our design and implementation of a parallel machine on an SOPC development board, using multiple instances of a soft IP configurable processor; we use this machine for LU factorization  ...  It is possible to implement various specialized parallel machines in a single silicon chip.  ...  Our research objective in this paper is to design a parallel machine on an SOC for the implementation of LU factorization using the BDB sparse matrix algorithm.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/cpe.748">doi:10.1002/cpe.748</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3n3dt37nabei7jdrlcfvoz72dq">fatcat:3n3dt37nabei7jdrlcfvoz72dq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20080425133226/http://web.njit.edu/~ziavras/Ziavras-CPE04.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/57/36/5736e1442dc3c1bfdcdcb0017e00899d5a971e9f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/cpe.748"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>

GPU accelerated circuit analysis using machine learning-based parallel computing model

Shital V. Jagtap, Y. S. Rao
<span title="2020-04-11">2020</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wxtpc7l3qzds3ojx4uwv4dvlr4" style="color: black;">SN Applied Sciences</a> </i> &nbsp;
In this paper, we propose machine learning-based parallel implementations of circuit analyser on graphics card with Compute Unified Device Architecture (CUDA).  ...  Further, we propose a Design-Level Parallelism with hybrid parallel implementation of components and processing methods.  ...  Compliance with ethical standards Conflict of interest On behalf of all authors, the corresponding author states that there is no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s42452-020-2667-6">doi:10.1007/s42452-020-2667-6</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pysxnvp5mbf75iyg76fizqv6zu">fatcat:pysxnvp5mbf75iyg76fizqv6zu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200711075612/https://link.springer.com/content/pdf/10.1007/s42452-020-2667-6.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/48/e5/48e575da2812cb4438cef2f5e030051991df294c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s42452-020-2667-6"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Editorial introduction: special issue on advances in parallel and distributed computing for neural computing

Jianguo Chen, Ahmad Salah
<span title="2020-04-02">2020</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a3wauupnbbdj7hbo62upc6grdq" style="color: black;">Neural computing &amp; applications (Print)</a> </i> &nbsp;
The paper by Yuedan Chen et al. focused on the partitioning and parallelization of the general sparse matrix-sparse matrix (SpGEMM) on HPC systems, which is used as the basic kernel in many NC/ML/AI algorithms  ...  The papers in the special issue represent a broad spectrum of parallel and distributed computing, machine learning models, and neural network models.  ...  A parallel MvC method based on the concept factorization with local manifold learning is proposed, which is represented by parallel multi-view concept clustering (PMCC).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00521-020-04887-7">doi:10.1007/s00521-020-04887-7</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/aydztes3cjfrffsw7ext7g6c4i">fatcat:aydztes3cjfrffsw7ext7g6c4i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200510095712/https://link.springer.com/content/pdf/10.1007/s00521-020-04887-7.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/19/23/19235cc4fd91dcadee55e8780214b5f05cd76f28.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00521-020-04887-7"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Preparing sparse solvers for exascale computing

Hartwig Anzt, Erik Boman, Rob Falgout, Pieter Ghysels, Michael Heroux, Xiaoye Li, Lois Curfman McInnes, Richard Tran Mills, Sivasankaran Rajamanickam, Karl Rupp, Barry Smith, Ichitaro Yamazaki (+1 others)
<span title="2020-01-20">2020</span> <i title="The Royal Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ercgg4vn2fenngurcnadfzdfri" style="color: black;">Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences</a> </i> &nbsp;
Highly parallel sparse solvers are essential for continuing advances in high-fidelity, multi-physics and multi-scale simulations, especially as we target exascale platforms.  ...  We address the demands of systems with thousands of high-performance node devices where exposing concurrency, hiding latency and creating alternative algorithms become essential.  ...  in machine learning, etc.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1098/rsta.2019.0053">doi:10.1098/rsta.2019.0053</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31955673">pmid:31955673</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bqw6xqixbrabddmxglmtcbw2wa">fatcat:bqw6xqixbrabddmxglmtcbw2wa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200507183315/https://escholarship.org/content/qt0r56p10n/qt0r56p10n.pdf?t=q733f0" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e1/02/e102222e5749c041aa26fe66670353a9ab94c923.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1098/rsta.2019.0053"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Batched matrix computations on hardware accelerators based on GPUs

Azzam Haidar, Tingxing Dong, Piotr Luszczek, Stanimire Tomov, Jack Dongarra
<span title="2015-02-09">2015</span> <i title="SAGE Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/prmoui3bz5a2jktzh4pt7dtery" style="color: black;">The international journal of high performance computing applications</a> </i> &nbsp;
., sparse direct multifrontal methods, preconditioners for sparse iterative methods, tiled algorithms in dense linear algebra, etc.; ]  LU, QR, or Cholesky on small diagonal matrices Sparse / Dense  ...  LA • Example matrix from Quantum chromodynamics • Reordered and ready for sparse direct multifrontal solver • Diagonal blocks can be handled in parallel through batched LU, QR, or Cholesky factorizations  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1177/1094342014567546">doi:10.1177/1094342014567546</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lb3idu5ksvgdtk3tmtpfd2putq">fatcat:lb3idu5ksvgdtk3tmtpfd2putq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200319182624/http://www.icl.utk.edu/files/publications/2015/icl-utk-825-2015.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c9/d4/c9d46ff8e880d0bbc1cdd4eb3615129464aae3ce.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1177/1094342014567546"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> sagepub.com </button> </a>

An object-oriented bulk synchronous parallel library for multicore programming

A.N. Yzelman, Rob H. Bisseling
<span title="2011-10-02">2011</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/o454xj4tdjfllm3oragfkdrffi" style="color: black;">Concurrency and Computation</a> </i> &nbsp;
This is important since it enables easy learning, and helps with keeping the (idealised) parallel machine transparent.  ...  The total number of parallel computing units (cores) of a BSP machine is given by p, while r measures the speed of each such core, in flops per second.  ...  This reordering was done on an AMD Opteron 2378. • the AMD Phenom II 945e quad-core processor, • the Intel Core 2 Q6600 quad-core processor, and • the Sun Niagara2 processor.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/cpe.1843">doi:10.1002/cpe.1843</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h3eau35vbvhndhrpjsztyhvpfy">fatcat:h3eau35vbvhndhrpjsztyhvpfy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171126215614/https://core.ac.uk/download/pdf/34565054.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/56/fc/56fcfbaf3cd35e8760af0c4ce052132d05ffe813.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/cpe.1843"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>

Numerical algorithms for high-performance computational science

Jack Dongarra, Laura Grigori, Nicholas J. Higham
<span title="2020-01-20">2020</span> <i title="The Royal Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ercgg4vn2fenngurcnadfzdfri" style="color: black;">Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences</a> </i> &nbsp;
multi- ple precisions of floating-point arithmetic, including half-precision.  ...  A number of features of today's high-performance computers make it challenging to exploit these machines fully for computational science.  ...  We thank Massimilano Fasi, Theo Mary, Mantas Mikaitis, Srikara Praensh, and Mawussi Zounon for their comments on a draft manuscript.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1098/rsta.2019.0066">doi:10.1098/rsta.2019.0066</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31955676">pmid:31955676</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2l4iy3yxwvc3njht5smpsqloma">fatcat:2l4iy3yxwvc3njht5smpsqloma</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200505224642/https://www.research.manchester.ac.uk/portal/files/157204300/paper.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/77/7a/777a3a98b163ae458f9d2f81901c33fa116e805c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1098/rsta.2019.0066"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Memory-aware Thread and Data Mapping for Hierarchical Multi-core Platforms

Eduardo Henrique Molina da Cruz, Marco Antonio Zanata Alves, Alexandre Carissimi, Philippe Olivier Alexandre Navaux, Christiane Pousa Ribeiro, Jean-François Méhaut
<span title="">2012</span> <i title="IJNC Editorial Committee"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kyw3w6chebckjklmvvtpyxoewu" style="color: black;">International Journal of Networking and Computing</a> </i> &nbsp;
In order to evaluate our proposal, we use the NAS Parallel Benchmarks (NPB) running on two modern multi-core NUMA machines.  ...  The problem is even more important in multi-core machines with NUMA characteristics, since the remote access imposes high overhead, making them more sensitive to thread and data mapping.  ...  Multi-core NUMA Platforms Evaluated In order to evaluate the proposed method, we selected two representative parallel machines.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15803/ijnc.2.1_97">doi:10.15803/ijnc.2.1_97</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pcbmir2eirc4dbobn47efmplcq">fatcat:pcbmir2eirc4dbobn47efmplcq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190502105617/https://www.jstage.jst.go.jp/article/ijnc/2/1/2_97/_pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/40/8d/408ddf3c617ecc7f577c836f77ce9ac591b7387d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15803/ijnc.2.1_97"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Alternating directions parallel hybrid memory iGRM direct solver for non-stationary simulations

Maciej Woźniak, Anna Janina Bukowska
<span title="2020-11-03">2020</span> <i title="AGHU University of Science and Technology Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7bci47kvi5ed7epwn4ly4x2hoi" style="color: black;">Computer Science</a> </i> &nbsp;
In this paper, we show a hybrid parallelization method to reduce the computational cost of the integration phase using hybrid-memory parallel machines.  ...  Both IGA and rIGA come with challenging sparse matrix structure, that is expensive to generate.  ...  The parallelization of the work on one node is performed by using OpenMP. All of the processors of a given node must exit before the factorization stage begins. 3.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7494/csci.2020.21.4.3834">doi:10.7494/csci.2020.21.4.3834</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rs5eediifbbghcgpqtuundx6bq">fatcat:rs5eediifbbghcgpqtuundx6bq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201106125301/https://journals.agh.edu.pl/csci/article/download/3834/2535" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/82/02/8202724f049e860193af793bb0411907eb939a35.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7494/csci.2020.21.4.3834"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Parallel matrix factorization for recommender systems

Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon
<span title="2013-09-01">2013</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/eiwbm5rd75c6rd44ak254zrpdy" style="color: black;">Knowledge and Information Systems</a> </i> &nbsp;
In addition, CCD++ can be easily parallelized on both multi-core and distributed systems. We empirically show that CCD++ is much faster than ALS and SGD in both settings.  ...  As an example, with a synthetic dataset containing 14.6 billion ratings, on a distributed memory cluster with 64 processors, to deliver the desired test RMSE, CCD++ is 49 times faster than SGD and 20 times  ...  The processor has 8 cores, and the OpenMP library is used for multi-core parallelization. Results on training time. We ensure that eight cores are fully utilized for each method.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10115-013-0682-2">doi:10.1007/s10115-013-0682-2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/w52nemt7hzd4hjwu5voxv7ggqu">fatcat:w52nemt7hzd4hjwu5voxv7ggqu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150314214158/http://www.cs.utexas.edu:80/~inderjit/public_papers/kais-pmf.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c0/16/c016970eb294523c8fd663950383f9b3ec37fc56.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10115-013-0682-2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Fast Parallel Newton-Raphson Power Flow Solver for Large Number of System Calculations with CPU and GPU [article]

Zhenqi Wang, Sebastian Wende-von Berg, Martin Braun
<span title="2021-02-17">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This is achieved with the proposed batched sparse matrix operation and batched linear solver based on LU-refactorization.  ...  operation and innovative researches e.g. data-driven machine learning studies.  ...  The innovative researches in the data-driven machine-learning methods in power systems can be great benefitted.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2101.02270v2">arXiv:2101.02270v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p22vmp5w7nht3kabshmd4zltzq">fatcat:p22vmp5w7nht3kabshmd4zltzq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210219115949/https://arxiv.org/pdf/2101.02270v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e1/bb/e1bbf790dd4d1fa691ff994255e7f6132fedd072.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2101.02270v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Parallel Power Flow Computation Trends and Applications: A Review Focusing on GPU

Dong-Hee Yoon, Youngsun Han
<span title="2020-05-01">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a2yvk5xhdnhpxjnk6yd33uudqq" style="color: black;">Energies</a> </i> &nbsp;
In this review paper, we summarize issues related to parallel processing in power flow studies and analyze research into the performance of fast power flow computations using parallel computing methods  ...  with GPU.  ...  Currently, because HPC technologies such as multi-core processors, clusters, and GPUs have made significant strides, many more studies have been undertaken into accelerating power system analysis by using  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/en13092147">doi:10.3390/en13092147</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ofic3va3rnb6fjacse3yw2jbzm">fatcat:ofic3va3rnb6fjacse3yw2jbzm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200505185705/https://res.mdpi.com/d_attachment/energies/energies-13-02147/article_deploy/energies-13-02147.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bc/f9/bcf96fdb9c10a4e795f3e36150e081ebd83cb39e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/en13092147"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Predicting multi-core performance

Akbar Siami Namin, Mohan Sridharan, Pulkit Tomar
<span title="">2010</span> <i title="ACM Press"> Proceedings of the 3rd International Workshop on Multicore Software Engineering - IWMSE &#39;10 </i> &nbsp;
Multi-core technology is an emerging hardware trend that provides significant capabilities for computationally expensive applications.  ...  This paper reports a case study on the use of Solaris containers to control the assignment of threads to the available CPUs in a set of applications.  ...  Machines Used For our experiments, we used two Sun machines. The first was a Sun Fire T1000 with a UltraSPARC T1 processor, which is a multi-threaded, multi-core CPU.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1808954.1808960">doi:10.1145/1808954.1808960</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/axc7vnu4inhohmkjz3tiobltu4">fatcat:axc7vnu4inhohmkjz3tiobltu4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20151008140507/http://www.depts.ttu.edu/cs/research/avesta/publications/papers/ICSE2010/MultiCore_IWMSE10.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/09/98/099848b8af3aae81837bbc2bae32b474c1f98644.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1808954.1808960"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Author retrospective for PYRROS

Tao Yang, Apostolos Gerasoulis
<span title="">2014</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3sq4a52jknfqpfyjfszyrlkedm" style="color: black;">25th Anniversary International Conference on Supercomputing Anniversary Volume -</a> </i> &nbsp;
Given a program with annotated task parallelism represented as a directed acyclic graph (DAG), the PYRROS project was focused on fast DAG scheduling, code generation and runtime execution on distributed  ...  annotated task parallelism on modern parallel and cloud architectures.  ...  Using RAPID, we developed fast DAG-based parallel code for sparse LU factorization with partial pivoting and set up a new performance record [16, 15] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2591635.2591647">doi:10.1145/2591635.2591647</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ics/YangG14.html">dblp:conf/ics/YangG14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/35dgziip7rbrnacduqv2z7z3ji">fatcat:35dgziip7rbrnacduqv2z7z3ji</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150921200946/http://www.cs.ucsb.edu/~tyang/papers/2014pyrros.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/79/5b/795b2646977d49d0437b017c019c3989505c3c53.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2591635.2591647"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Cluster-Based and GPU-Driven Parallel Computing Model to Accelerate Circuit Simulation

<span title="2020-02-10">2020</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cj3bm7tgcffurfop7xzswxuks4" style="color: black;">VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE</a> </i> &nbsp;
Clustering approach is used which helps in finding kernel of uniform operations to map on GPU cores.  ...  Mathematical operations are redesigned so that it will execute in parallel. LU decomposition algorithm and complex math operations are converted in parallel form.  ...  Second approach is to use machine learning methods. Circuit analysis functions are classified based on uniformity in components and methods.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.d1836.029420">doi:10.35940/ijitee.d1836.029420</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kf3fal2rqjdynnuv6ladwqnd7i">fatcat:kf3fal2rqjdynnuv6ladwqnd7i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220225231924/https://www.ijitee.org/wp-content/uploads/papers/v9i4/D1836029420.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/68/bf/68bfbf14c60f26af7914ae62f7ecefb19f3210a0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.d1836.029420"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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