PUMA publications for /tag/energy-efficiency%20computinghttps://puma.ub.uni-stuttgart.de/tag/energy-efficiency%20computingPUMA RSS feed for /tag/energy-efficiency%20computing2024-03-28T10:13:46+01:00- Energy-efficient and Error-resilient Iterative Solvers for Approximate Computinghttps://puma.ub.uni-stuttgart.de/bibtex/2bfd0a364cc8901abde747841b8f60a69/clausbraunclausbraun2018-03-19T16:15:07+01:00AxC SimTech approximate computing energy-efficiency fault monitoring myown quality tolerance <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alexander Schöll" itemprop="url" href="/person/170d88e8ae6518962c2cc6a2b24f8fbd6/author/0"><span itemprop="name">A. Schöll</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Claus Braun" itemprop="url" href="/person/170d88e8ae6518962c2cc6a2b24f8fbd6/author/1"><span itemprop="name">C. Braun</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hans-Joachim Wunderlich" itemprop="url" href="/person/170d88e8ae6518962c2cc6a2b24f8fbd6/author/2"><span itemprop="name">H. Wunderlich</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the 23rd IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS'17)</span>, </em></span><em>page <span itemprop="pagination">237--239</span>. </em>(<em><span>2017<meta content="2017" itemprop="datePublished"/></span></em>)</span>Mon Mar 19 16:15:07 CET 2018Proceedings of the 23rd IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS'17)237--239{Energy-efficient and Error-resilient Iterative Solvers for Approximate Computing}2017AxC SimTech approximate computing energy-efficiency fault monitoring myown quality tolerance Iterative solvers like the Preconditioned Conjugate Gradient (PCG) method are widely-used in compute-intensive domains including science and engineering that often impose tight accuracy demands on computational results. At the same time, the error resilience of such solvers may change in the course of the iterations, which requires careful adaption of the induced approximation errors to reduce the energy demand while avoiding unacceptable results. A novel adaptive method is presented that enables iterative Preconditioned Conjugate Gradient (PCG) solvers on Approximate Computing hardware with high energy efficiency while still providing correct results. The method controls the underlying precision at runtime using a highly efficient fault tolerance technique that monitors the induced error and the quality of intermediate computational results.
- EXCESS: Execution Models for Energy-Efficient Computing Systemshttps://puma.ub.uni-stuttgart.de/bibtex/2926bc5dae578374864d09875f1a19147/michaelgiengermichaelgienger2015-11-07T08:00:23+01:00Analysis Computing EXCESS Energy-Efficiency Monitoring Parallel Performance myown <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Yosandra Sandoval" itemprop="url" href="/person/1d4c2c5bc8837f066015ec74af811797c/author/0"><span itemprop="name">Y. Sandoval</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dennis Hoppe" itemprop="url" href="/person/1d4c2c5bc8837f066015ec74af811797c/author/1"><span itemprop="name">D. Hoppe</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dmitry Khabi" itemprop="url" href="/person/1d4c2c5bc8837f066015ec74af811797c/author/2"><span itemprop="name">D. Khabi</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Michael Gienger" itemprop="url" href="/person/1d4c2c5bc8837f066015ec74af811797c/author/3"><span itemprop="name">M. Gienger</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Kessler" itemprop="url" href="/person/1d4c2c5bc8837f066015ec74af811797c/author/4"><span itemprop="name">C. Kessler</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Lu Li" itemprop="url" href="/person/1d4c2c5bc8837f066015ec74af811797c/author/5"><span itemprop="name">L. Li</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Usman Dastgeer" itemprop="url" href="/person/1d4c2c5bc8837f066015ec74af811797c/author/6"><span itemprop="name">U. Dastgeer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Phuong Ha" itemprop="url" href="/person/1d4c2c5bc8837f066015ec74af811797c/author/7"><span itemprop="name">P. Ha</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ibrahim Umar" itemprop="url" href="/person/1d4c2c5bc8837f066015ec74af811797c/author/8"><span itemprop="name">I. Umar</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Vi Tran" itemprop="url" href="/person/1d4c2c5bc8837f066015ec74af811797c/author/9"><span itemprop="name">V. Tran</span></a></span></span> and 4 other author(s). </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">PODC</span>, </em> </span>(<em><span>2015<meta content="2015" itemprop="datePublished"/></span></em>)</span>Sat Nov 07 08:00:23 CET 2015PODCEXCESS: Execution Models for Energy-Efficient Computing SystemsEnergy Efficient Distributed and Parallel Computing2015Analysis Computing EXCESS Energy-Efficiency Monitoring Parallel Performance myown