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      <div class="TdmEntry">Research Program<ul><li><a href="uid12.html&#10;&#9;&#9;  ">Algorithms for probabilistic environments</a></li><li><a href="uid15.html&#10;&#9;&#9;  ">Platform-aware scheduling strategies</a></li><li><a href="uid18.html&#10;&#9;&#9;  ">High-performance computing and linear algebra</a></li><li><a href="uid25.html&#10;&#9;&#9;  ">Compilers, code optimization and high-level synthesis for FPGA</a></li></ul></div>
      <div class="TdmEntry">Application Domains<ul><li><a href="uid31.html&#10;&#9;&#9;  ">Applications of sparse direct solvers</a></li></ul></div>
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      <div class="TdmEntry">New Results<ul><li><a href="uid64.html&#10;&#9;&#9;  ">A backward/forward recovery approach for the preconditioned conjugate gradient method </a></li><li><a href="uid65.html&#10;&#9;&#9;  ">High performance parallel algorithms for the tucker decomposition of sparse tensors</a></li><li><a href="uid66.html&#10;&#9;&#9;  ">Preconditioning techniques based on the Birkhoff–von Neumann decomposition</a></li><li><a href="uid67.html&#10;&#9;&#9;  ">Parallel CP decomposition of sparse tensors using dimension trees</a></li><li><a href="uid68.html&#10;&#9;&#9;  ">Scheduling series-parallel task graphs to minimize peak memory</a></li><li><a href="uid69.html&#10;&#9;&#9;  ">Matrix symmetrization and sparse direct solvers</a></li><li><a href="uid70.html&#10;&#9;&#9;  ">Robust Memory-Aware Mapping for Parallel Multifrontal Factorizations</a></li><li><a href="uid71.html&#10;&#9;&#9;  ">Fast 3D frequency-domain full waveform inversion with a parallel Block Low-Rank multifrontal direct solver: application to OBC data from the North Sea</a></li><li><a href="uid72.html&#10;&#9;&#9;  ">Matching-Based Allocation Strategies for Improving Data Locality of Map Tasks in MapReduce</a></li><li><a href="uid73.html&#10;&#9;&#9;  ">Minimizing Rental Cost for Multiple Recipe Applications in the Cloud</a></li><li><a href="uid74.html&#10;&#9;&#9;  ">Malleable task-graph scheduling with a practical speed-up model</a></li><li><a href="uid75.html&#10;&#9;&#9;  ">Dynamic memory-aware task-tree scheduling</a></li><li><a href="uid76.html&#10;&#9;&#9;  ">Optimal resilience patterns to cope with fail-stop and silent errors</a></li><li><a href="uid77.html&#10;&#9;&#9;  ">Two-level checkpointing and partial verifications for linear task graphs</a></li><li><a href="uid78.html&#10;&#9;&#9;  ">Resilient application co-scheduling with processor redistribution</a></li><li><a href="uid79.html&#10;&#9;&#9;  ">A different re-execution speed can help</a></li><li><a href="uid80.html&#10;&#9;&#9;  ">Coping with recall and precision of soft error detectors</a></li><li><a href="uid81.html&#10;&#9;&#9;  ">Checkpointing strategies for scheduling computational workflows</a></li><li><a href="uid82.html&#10;&#9;&#9;  ">Assessing General-Purpose Algorithms to Cope with Fail-Stop and Silent Errors</a></li><li><a href="uid83.html&#10;&#9;&#9;  ">A failure detector for HPC platforms</a></li><li><a href="uid84.html&#10;&#9;&#9;  ">Optimal multistage algorithm for adjoint computatio</a></li><li><a href="uid85.html&#10;&#9;&#9;  ">Assessing the cost of redistribution followed by a computational kernel: Complexity and performance results</a></li><li><a href="uid86.html&#10;&#9;&#9;  ">When Amdahl Meets Young/Daly</a></li><li><a href="uid87.html&#10;&#9;&#9;  ">Computing the expected makespan of task graphs in the presence of silent errors</a></li><li><a href="uid88.html&#10;&#9;&#9;  ">Toward an Optimal Online
Checkpoint Solution under a Two-Level HPC Checkpoint Model</a></li><li><a href="uid89.html&#10;&#9;&#9;  ">Cell morphing: from array programs to array-free Horn clauses</a></li><li><a href="uid90.html&#10;&#9;&#9;  ">Symbolic Analyses of pointers</a></li><li><a href="uid91.html&#10;&#9;&#9;  ">High-Level Synthesis of Pipelined FSM from Loop Nests</a></li><li><a href="uid92.html&#10;&#9;&#9;  ">Estimation of Parallel Complexity with Rewriting Techniques</a></li></ul></div>
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	    2016</a> | <a href="http://www.inria.fr/en/teams/roma">Presentation of the Project-Team ROMA</a> | <a href="http://www.ens-lyon.fr/LIP/ROMA/">ROMA Web Site
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        <div class="Titrepage1">2016 Project-Team Activity Report
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        <div class="Projetpage1">
          <div class="ProjetCourtpage1">ROMA</div>
          <div class="ProjetLongpage1">Optimisation des ressources : modèles, algorithmes et ordonnancement<div class="DescriptionTeam"/></div>
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          <span class="definition">Research centre: </span>
          <a href="http://www.inria.fr/centre/grenoble">Grenoble - Rhône-Alpes</a>
        </div>
        <div class="partner"><span class="definition">In partnership with: </span>CNRS, Ecole normale supérieure de Lyon, Université Claude Bernard (Lyon 1)<br/><span class="definition">In collaboration with: </span>Laboratoire de l'Informatique du Parallélisme (LIP)<br/><br/></div>
        <div class="domainepage1"><span class="definition">Field: </span><a href="&#10;&#9;      http://www.inria.fr/en/domains/Networks-Systems-and-Services-Distributed-Computing">Networks, Systems and Services, Distributed Computing</a><br/><span class="definition">Theme: </span>Distributed and High Performance Computing</div>
        <div class="Keywordspage">
          <span class="definition">Keywords: </span>
        </div>
        <div class="Keywordspage1">
          <span class="definition2">
            <a href="/keywords/2016/computing">Computer Science and Digital Science: </a>
          </span>
          <ul>
            <li>1.1.1. - Multicore</li>
            <li>1.1.2. - Hardware accelerators (GPGPU, FPGA, etc.)</li>
            <li>1.1.3. - Memory models</li>
            <li>1.1.4. - High performance computing</li>
            <li>1.1.5. - Exascale</li>
            <li>1.1.9. - Fault tolerant systems</li>
            <li>1.6. - Green Computing</li>
            <li>6.1. - Mathematical Modeling</li>
            <li>6.2.3. - Probabilistic methods</li>
            <li>6.2.5. - Numerical Linear Algebra</li>
            <li>6.2.6. - Optimization</li>
            <li>6.2.7. - High performance computing</li>
            <li>6.3. - Computation-data interaction</li>
            <li>7.1. - Parallel and distributed algorithms</li>
            <li>7.2. - Discrete mathematics, combinatorics</li>
            <li>7.3. - Optimization</li>
            <li>7.9. - Graph theory</li>
            <li>7.11. - Performance evaluation</li>
          </ul>
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            <a href="/keywords/2016/other">Other Research Topics and Application Domains: </a>
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            <li>3.2. - Climate and meteorology</li>
            <li>3.3. - Geosciences</li>
            <li>4. - Energy</li>
            <li>4.1. - Fossile energy production (oil, gas)</li>
            <li>4.5.1. - Green computing</li>
            <li>5.2.3. - Aviation</li>
            <li>5.5. - Materials</li>
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