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Perfomance Models for Blocked Sparse Matrix-Vector Multiplication Kernels

Vasileios Karakasis, Georgios Goumas, Nectarios Koziris
<span title="">2009</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3qrmigawsbhbljazwy2rerl5ni" style="color: black;">2009 International Conference on Parallel Processing</a> </i> &nbsp;
Sparse Matrix-Vector multiplication (SpMV) is a very challenging computational kernel, since its performance depends greatly on both the input matrix and the underlying architecture.  ...  block shape and size for a specific sparse matrix.  ...  INTRODUCTION Sparse Matrix-Vector Multiplication (SpMV) is one of the most important and widely used scientific kernels arising in a variety of scientific problems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icpp.2009.21">doi:10.1109/icpp.2009.21</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icpp/KarakasisGK09.html">dblp:conf/icpp/KarakasisGK09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cazo5q5tpvcipf6snar6ehvrry">fatcat:cazo5q5tpvcipf6snar6ehvrry</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20101226052827/http://www.cslab.ece.ntua.gr/~bkk/files/papers/icpp09.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/e8/0c/e80cd796e3e26296ab081e15a4a83cd81b952917.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icpp.2009.21"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Parallel MMF: a Multiresolution Approach to Matrix Computation [article]

Risi Kondor, Nedelina Teneva, Pramod K. Mudrakarta
<span title="2015-07-15">2015</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Multiresolution Matrix Factorization (MMF) was recently introduced as a method for finding multiscale structure and defining wavelets on graphs/matrices.  ...  In this paper we derive pMMF, a parallel algorithm for computing the MMF factorization. Empirically, the running time of pMMF scales linearly in the dimension for sparse matrices.  ...  The complexity of matrix-free MMF/vector multiplication is O(kpn).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1507.04396v1">arXiv:1507.04396v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/i5ackte2uzgq7cejtrddvkc5gy">fatcat:i5ackte2uzgq7cejtrddvkc5gy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200929064233/https://arxiv.org/pdf/1507.04396v1.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/76/b8/76b8aea27630aa0ab6c5502b328202e206edc2f2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1507.04396v1" 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>

Performance Coupling: Case Studies for Improving the Performance of Scientific Applications

Jonathan Geisler, Valerie Taylor
<span title="">2002</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rwjg7tprafhufajayuvxj2q4n4" style="color: black;">Journal of Parallel and Distributed Computing</a> </i> &nbsp;
The second study involves the Block Tridiagonal NAS Parallel Benchmark, for which the coupling parameter aided in revising the program to reduce the level-two c a c he misses by 1 4 % .  ...  In particular, we present a methodology for measuring the interaction, or coupling, b e t ween kernels within an application and describe how the measurements can be used to improve the performance of  ...  We considered three di erent sparse matrix representations in addition to the original representation for the matrix-vector multiply kernel: CMNS 3] stores the matrix non-zeros by columns.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1006/jpdc.2002.1839">doi:10.1006/jpdc.2002.1839</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rr7peukmqbcnznpf4zwarwf5oe">fatcat:rr7peukmqbcnznpf4zwarwf5oe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20040513045225/http://prophesy.cs.tamu.edu:80/publications/jpdc02.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/43/76/43762b35fec66b5f0e4c4a5d1aae7ef5a0bc269f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1006/jpdc.2002.1839"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Computing Graph Neural Networks: A Survey from Algorithms to Accelerators [article]

Sergi Abadal, Akshay Jain, Robert Guirado, Jorge López-Alonso, Eduard Alarcón
<span title="2021-07-23">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Graph Neural Networks (GNNs) have exploded onto the machine learning scene in recent years owing to their capability to model and learn from graph-structured data.  ...  Besides of their novelty, GNNs are hard to compute due to their dependence on the input graph, their combination of dense and very sparse operations, or the need to scale to huge graphs in some applications  ...  ACKNOWLEDGMENTS The authors would like to thank the anonymous reviewers and the editorial team for their constructive criticism, which has helped improve the quality of the paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.00130v3">arXiv:2010.00130v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u5bcmjodcfdh7pew4nssjemdba">fatcat:u5bcmjodcfdh7pew4nssjemdba</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210727181921/https://arxiv.org/pdf/2010.00130v3.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/2e/92/2e92728e393538304555e48a8d7532daf5ebabd4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.00130v3" 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>

Generic compressed sparse matrix insertion

Peter Gottschling, Dag Lindbo
<span title="">2009</span> <i title="ACM Press"> Proceedings of the 8th workshop on Parallel/High-Performance Object-Oriented Scientific Computing - POOSC &#39;09 </i> &nbsp;
With the Matrix Template Library 4 (MTL4) we provide a generic library support for dense and compressed sparse matrices.  ...  Sparse matrices are indispensable components of most scientific applications. Nevertheless, there is very little generalpurpose software support.  ...  Some libraries also offer sparse matrices as vector of sparse vectors. Such matrices are very flexible for modifications but impose poor memory locality when used in operations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1595655.1595657">doi:10.1145/1595655.1595657</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/77zasdwse5ae5boy3tc5uacq3a">fatcat:77zasdwse5ae5boy3tc5uacq3a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160909195202/http://simunova.com/system/files/mtl4_fenics.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/1f/72/1f72d3da843493b3374bd973fa7d8942bcfe7a37.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1595655.1595657"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Massively Parallel Linearly-Implicit Extrapolation Algorithms as a Powerful Tool in Process Simulation [chapter]

R. Ehrig, U. Nowak, P. Deuflhard
<span title="">1998</span> <i title="Elsevier"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ubikuqtgk5gsjplis3d6r2e6k4" style="color: black;">Advances in Parallel Computing</a> </i> &nbsp;
Additive Krylov-Schwarz methods yield high parallel perfomance for such extrapolation methods.  ...  Furthermore we get important advantages through the explicit computation of the matrix-products of the preconditioner and the matrix of the linear system.  ...  They studied approximations for a sparse matrix which can be written as B = D + UV T , U and V matrices composed of only a "few" vectors.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s0927-5452(98)80066-x">doi:10.1016/s0927-5452(98)80066-x</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jmdjge4egncnflmgfdaolt2yse">fatcat:jmdjge4egncnflmgfdaolt2yse</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170813103803/https://opus4.kobv.de/opus4-zib/frontdoor/deliver/index/docId/312/file/SC-97-43.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/36/82/3682c4307aa6fbbb5b31512688ae0597f6d9d0d7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s0927-5452(98)80066-x"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

New implementations for the Simultaneous-FETI method

Roberto Molina, François-Xavier Roux
<span title="2019-03-07">2019</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/d5kmo4wqzvfsdp5d4ufrrlufwy" style="color: black;">International Journal for Numerical Methods in Engineering</a> </i> &nbsp;
The algorithm is based on the exploitation of the sparsity patterns found on the block of search directions, allowing to store less vectors per iteration in comparison to a full storage scheme.  ...  In this work, we present alternative implementations for the Simultaneous-FETI (S-FETI) method. Developed in recent years, this method has shown to be very robust for highly heterogeneous problems.  ...  We allocatall the j < p vectors z (i ) j as a single block, giving z (i ) 1 , . . . , z (i ) p−1 T F (s) z (k ) p , i , k ∈ nei g hbour (s) ∪ {s } (30) This new matrix-vector multiplication allows the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/nme.6024">doi:10.1002/nme.6024</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3rypt3nnrbcilchkb7zje3vlrm">fatcat:3rypt3nnrbcilchkb7zje3vlrm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200313095722/https://hal.archives-ouvertes.fr/hal-02294320/document" 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/72/5b/725bfccc2280bbb8625126fa65907de49ef9c248.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/nme.6024"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>

High Resolution Radar Sensing with Compressive Illumination [article]

Nithin Sugavanam and Siddharth Baskar and Emre Ertin
<span title="2021-06-22">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We show that for a sufficiently large number of modulating tones, the system achieves high-resolution in range and successfully recovers the range and angle-of-arrival of targets in a sparse scene.  ...  We present recovery guarantees for the proposed illumination technique.  ...  Let Ξ be the event that the sampled measurement matrix satisfies the conditions required for successful recovery and recovers a K-sparse vector x selected from the target model.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.11490v1">arXiv:2106.11490v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dsc5nc6rkbgunc6agrkesqsmgq">fatcat:dsc5nc6rkbgunc6agrkesqsmgq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210624073159/https://arxiv.org/pdf/2106.11490v1.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/c5/57c57a90f6c38db6bef2640f9ef3bbafc5501694.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.11490v1" 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>

D6.6: Report on petascale software libraries and programming models

Giovanni Erbacci, Carlo Cavazzoni, Filippo Spiga, Iris Christadler
<span title="2009-10-30">2009</span> <i title="Zenodo"> Zenodo </i> &nbsp;
Starting from this basis an accurate survey and analysis of the new upcoming programming models and languages suitable for petascale applications is presented, trying to identify gaps and opportunities  ...  provided in terms of performance and efficiency and benefit for parallelism.  ...  Kernel Abbreviation mod2as The sparse matrix-vector multiplication is less dependent on the problem size.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6546116">doi:10.5281/zenodo.6546116</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ojachtibqfeorbsef6z2lpvbie">fatcat:ojachtibqfeorbsef6z2lpvbie</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220524102719/https://zenodo.org/record/6546116/files/PP-D6.6.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/3b/f1/3bf1e8e03f582a63cdcdcd32e85c9b397ffa1271.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6546116"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks [article]

Vasimuddin Md, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha
<span title="2021-04-16">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
It is challenging due to large memory capacity and bandwidth requirements on a single compute node and high communication volumes across multiple nodes.  ...  In this paper, we present DistGNN that optimizes the well-known Deep Graph Library (DGL) for full-batch training on CPU clusters via an efficient shared memory implementation, communication reduction using  ...  Inspired by SUMMA algorithm [30] for matrix multiplication, they apply different kinds of matrix blocking strategies for work division among the compute nodes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2104.06700v3">arXiv:2104.06700v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/he2ciftnpbgwnj4rp4yzgc3nmm">fatcat:he2ciftnpbgwnj4rp4yzgc3nmm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210416001624/https://arxiv.org/pdf/2104.06700v1.pdf" title="fulltext PDF download [not primary version]" 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] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/de/5f/de5f6f198f515cf00a321d00c0ff9aae90912484.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2104.06700v3" 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>

High-performance Implementation of Matrix-free High-order Discontinuous Galerkin Methods [article]

Steffen Müthing and Marian Piatkowski and Peter Bastian
<span title="2017-11-29">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
compared to a matrix-based implementation while at the same time enabling SIMD vectorization and the use of fused-multiply-add.  ...  Assuming tensor product structure of basis functions and quadrature on cuboid meshes in a matrix-free approach a substantial reduction in computational complexity can be achieved for operator application  ...  A single matrix-vector product (with stored matrix A) is memory bound as only two flops are executed per matrix element read from memory (this holds for sparse and dense matrices).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1711.10885v1">arXiv:1711.10885v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kadfnpkts5brbo2peanykwz3vu">fatcat:kadfnpkts5brbo2peanykwz3vu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200914110513/https://arxiv.org/pdf/1711.10885v1.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/ed/aa/edaa7ae1971a98f0ca010922c3f0020017a3351b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1711.10885v1" 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>

Survey on Efficient Linear Solvers for Porous Media Flow Models on Recent Hardware Architectures

Ani Anciaux-Sedrakian, Peter Gottschling, Jean-Marc Gratien, Thomas Guignon
<span title="">2014</span> <i title="EDP Sciences"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/43w4njdiybhs5kr3okskkifg4i" style="color: black;">Oil &amp; Gas Science and Technology</a> </i> &nbsp;
We study first the Sparse Matrix-Vector product (SpMV) which is the base Kernel, common among all the preconditioners discussed before and two preconditioner based on SpMV: ILU(0), BSSOR and Polynomial  ...  Figure 2 shows the matrix profile for this reordering: the matrix has c diagonal blocks (D i ) where c is the number of colors and other sparse coefficients lie in upper U i and lower L i blocks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2516/ogst/2013184">doi:10.2516/ogst/2013184</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zdxhrlm5nvdujn7stynit4vyg4">fatcat:zdxhrlm5nvdujn7stynit4vyg4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721054152/https://ogst.ifpenergiesnouvelles.fr/articles/ogst/pdf/2014/04/ogst130036.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/df/b4/dfb4e838007d917d935b621308b0158bccbe42a4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2516/ogst/2013184"> <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>

A Study of Techniques for Facial Detection and Expression Classification

Hemalatha G, Sumathi C.P
<span title="2014-04-30">2014</span> <i title="Academy and Industry Research Collaboration Center (AIRCC)"> International Journal of Computer Science &amp; Engineering Survey </i> &nbsp;
Automatic recognition of facial expressions is an important component for human-machine interfaces.  ...  The various approaches for facial recognition are categorized into two namely holistic based facial recognition and feature based facial recognition.  ...  with Support Vector Machine with different kernels.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/ijcses.2014.5203">doi:10.5121/ijcses.2014.5203</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2o2am6iftrdsdjkhn7d2k46unm">fatcat:2o2am6iftrdsdjkhn7d2k46unm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150404071926/http://airccse.org:80/journal/ijcses/papers/5214ijcses03.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/0d/25/0d2583d07283b21ea1034b8b52b8401b6148c59e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/ijcses.2014.5203"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Optimizing Euterpe For Petascaling

Xavier Sáez
<span title="2012-07-30">2012</span> <i title="Zenodo"> Zenodo </i> &nbsp;
Our initial findings indicate that particle-in-cell algorithms such as EUTERPE are suitable candidates for the new computing paradigms involving heterogeneous architectures.  ...  The first routines we considered were: prod (computing the dot product), mult_Ab_asim (computing the matrix-vector product) and mult_jacobian_matrix (computing the block Jacobi matrix-vector product).  ...  EUTERPE uses a Fourier transform library (either one of the free FFTW, IBM's FFT_ESSL, or Intel's FFT_MKL) and a sparse matrix library (either the free PETSc or IBM's WSMP library).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.814429">doi:10.5281/zenodo.814429</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pxz5e2w3j5aqfa6i6lq6uca5hu">fatcat:pxz5e2w3j5aqfa6i6lq6uca5hu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220128183608/https://zenodo.org/record/814430/files/Optimizing%20EUTERPE%20for%20Petascaling.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/c2/5d/c25d896b81e8604cfc4098841577ffb3b628799c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.814429"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Fast multiresolution image operations in the wavelet domain

I. Drori, D. Lischinski
<span title="">2003</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hjrujdrg7zaghbdsp5pdzq7cmm" style="color: black;">IEEE Transactions on Visualization and Computer Graphics</a> </i> &nbsp;
However, in order to represent a convolution of an n ¢n image as a matrix-vector multiplication, the corresponding operator matrix must be n 2 ¢n 2 .  ...  Similarly, the matrix B is a linear ramp, and all of its columns are the same vector. The matrix C is constant.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tvcg.2003.1207446">doi:10.1109/tvcg.2003.1207446</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bcaqcklx4jdijewsonxnlm2unq">fatcat:bcaqcklx4jdijewsonxnlm2unq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20060524085828/http://www.cs.huji.ac.il:80/labs/cglab/papers/wavops/Drori-tvcg2003.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/91/ae/91aeca6118f0cf7d7211599ff46aee0bce5af9f0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tvcg.2003.1207446"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>
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