Position Papers for the 2024 ASCR Workshop on Analog Computing for Science

Technical Report · Mon Jan 01 00:00:00 EST 2024

DOI:https://doi.org/10.2172/2506701· OSTI ID:2506701

Soloveichik, David ^[1]; Tumeo, Antonino ^[2]; Achour, Sara ^[3]; Berloff, Natalia ^[4]; Chakrabartty, Shantanu ^[5]; Cardwell, Suma George ^[6]; Hasler, Jennifer ^[7]; Joshi, Siddharth ^[8]; Roychowdhury, Jaijeet ^[9]

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1. Univ. of Texas at Austin, TX (United States)
2. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
3. Stanford Univ., CA (United States)
4. Univ. of Cambridge (United Kingdom)
5. Washington Univ., St. Louis, MO (United States)
6. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
7. Georgia Institute of Technology, Atlanta, GA (United States)
8. University of Notre Dame, IN (United States)
9. Univ. of California, Berkeley, CA (United States)

Analog computing capabilities have existed since the dawn of science, but modern techniques potentially allow for the construction, verification, and characterization of complicated analog computing systems in a wide variety of contexts, from high-performance computational accelerators to nanorobotics and synthetic biology. In short, advances in analog computing can enable the creation of physical systems with complex behaviors that meet sophisticated requirements. Meeting our nation's needs, from needs in computing and modeling, to needs for advanced materials and energy technologies, continues to motivate pursuing novel kinds of complex systems, and thus analog computing techniques, in all of these spaces.

• Research Organization: US Department of Energy (USDOE), Washington, DC (United States). Office of Science
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
• DOE Contract Number: NONE
• OSTI ID: 2506701
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING