Tag: Sustainability
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CEEC at the Ferienakademie
Earlier this fall, Samuel Kemmler, a member of CEEC first through the partner FAU and now BAM, worked alongside other scientists in his field to organize a course of the […]
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Summer Round-Up
It’s been a while since our last update, and we’re still in the early days of our work. That said, we’ve been travelling to introduce ourselves and present some of the work we’ll be building on during our 4 project years. Maybe you’ve seen us? This summer we had various presentations both at ISC High-Performance…
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VPREC to analyze the precision appetites and numerical abnormalities of several proxy applications
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The third in a series of presentations from Roman Iakymchuk on work using tools to investigate mixed precision possibilities. He and his co-author Pablo de Oliveira Castro introduce an approach to address the issue of sustainable computations with computer arithmetic tools. They use the variable precision backend (VPREC) to identify parts of code that can…
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Sustainable and Reliable Computing with Tools: Analyzing Precision Appetites of CFD Applications with VerifiCarlo
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Energy consumption constraints for large-scale computing encourage scientists to revise the architecture design of hardware but also applications, algorithms, as well as the underlying working/ storage precision. I will introduce an approach to address the issue of sustainable, but still reliable, computations from the perspective of computer arithmetic tools. We employ VerifiCarlo and its variable…
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What is Mixed Precision?
What is Mixed Precision? Computers have been getting faster for as long as they’ve existed. However, not every computer part has been speeding up at the same rate. For example, […]
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Reliable and sustainable computations: An application-driven approach
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In this talk, Roman Iakymchuk presents his work on accuracy and reproducibility assuring strategies for parallel iterative solvers that may not hold due to the non-associativity of floating-point operations. These strategies primarily rely on guarding every bit of result until final rounding, hence they can be costly. The energy consumption constraint for large-scale computing encourages…
