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DTSTAMP:20260421T090512Z
LOCATION:Bldg. 6 - Room 102
DTSTART;TZID=Europe/Stockholm:20260629T143000
DTEND;TZID=Europe/Stockholm:20260629T150000
UID:submissions.pasc-conference.org_PASC26_sess106_msa159@linklings.com
SUMMARY:How Design Choices Shape Sustainable Computing: A Hardware Acceler
 ator Perspective
DESCRIPTION:Ruben Rodriguez Alvarez and Denisa-Andreea Constantinescu (EPF
 L)\n\nData centers are experiencing rapidly rising energy consumption and 
 associated greenhouse-gas emissions. Today, GPUs are the dominant accelera
 tor in many data centers, yet they are not necessarily the most efficient 
 choice for every application domain because they remain relatively general
 -purpose. In this talk, we examine how accelerator design choices shape su
 stainable computing outcomes through case studies in genomics and AI. Firs
 t, we present an FPGA-based, parameterized accelerator family tailored to 
 a representative genomics workload and designed to expose key architectura
 l and system-level trade-offs. A hardware–software co-design approach reve
 als optimal operating points in terms of time-to-solution and energy-to-so
 lution, outperforming GPU baselines across a range of problem sizes and de
 ployment constraints. Second, we explore emerging trends in AI acceleratio
 n and energy efficiency, and how they influence total emissions and costs 
 depending on local carbon intensity and electricity prices. Across both us
 e cases, we find that the economically optimal configuration can diverge f
 rom the emissions-minimizing configuration, highlighting a gap between cos
 t-driven procurement and climate-friendly operation in data centers. We co
 nclude with practical co-design guidance to align performance goals with s
 ustainable computing targets.\n\nDomain: Engineering, Computational Method
 s and Applied Mathematics\n\nSession Chairs: Denisa-Andreea Constantinescu
  (EPFL), Florina Ciorba (University of Basel), and Can Hankendi (Boston Un
 iversity)\n\n
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