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Reducing the energy consumption of software:

<p>The energy consumption of data centers and information and communication technology (ICT) devices is growing at an alarming rate, projected to constitute up to 20 percent of global energy consumption by 2030. To support the digital transformation effectively, we need to enhance software efficiency. A promising avenue in this endeavor is incremental computing, where computations react to input changes rather than recomputing results from scratch. However, existing approaches to incrementality have limited applicability: They either demand expert knowledge, support only specialized domains (e.g., database queries), or yield only modest speedups. At Johannes Gutenberg University Mainz (JGU), Professor Sebastian Erdweg and his team aim to develop a methodology for automatically incrementalizing computations and significantly improving their time and energy efficiency. The European Research Council (ERC) is sponsoring the new project &quot;AutoInc&quot; to the extent of EUR ....

Zuid Holland , Sebastian Erdweg , European Research Council , Johannes Gutenberg University Mainz , Institute Of Computer Science , Professor Sebastian Erdweg , Computer Science , Programming Languages , Professor Sebastian , Asymptotic Speedups , Automatic Incremental Computing , Johannes Gutenberg University ,

Mathematicians make 5G network scheme more efficient and reliable

Mathematicians make 5G network scheme more efficient and reliable
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Irina Kochetkova , Helena Makeeva , G Networks , Institute Of Computer Science , Ultra Reliable Low Latency Communications , Enhanced Mobile Broadband , Associate Professor , Computer Science , Retrial Queueing System , Analyzing Impact , Enhanced Mobile Broadband Quality , Service Degradation ,