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    <title>Shantanu Chakrabartty | Kalyan Perumalla</title>
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    <description>Shantanu Chakrabartty</description>
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      <title>Shantanu Chakrabartty</title>
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      <title>Basic Research Needs in Analog Computing in Science</title>
      <link>https://kalper.net/kp/publication/2024-09-11-doe-analog/</link>
      <pubDate>Wed, 11 Sep 2024 00:00:00 +0000</pubDate>
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      <description>&lt;h2 id=&#34;agency-report&#34;&gt;Agency Report&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Original &lt;strong&gt;Report&lt;/strong&gt; &lt;a href=&#34;https://www.osti.gov/biblio/2476965&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Listing at OSTI&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Original &lt;strong&gt;Report&lt;/strong&gt; &lt;a href=&#34;https://www.osti.gov/servlets/purl/2476965&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;PDF at OSTI&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Cached &lt;strong&gt;Report&lt;/strong&gt; PDF &lt;a href=&#34;2024-09-11-DOE-Analog.pdf&#34;&gt;local copy&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;agency-brochure&#34;&gt;Agency Brochure&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Brochure&lt;/strong&gt; &lt;a href=&#34;https://www.osti.gov/servlets/purl/2476964&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;PDF at OSTI&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;agency-program-documents&#34;&gt;Agency Program Documents&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;ASCR Program Documents &lt;a href=&#34;https://science.osti.gov/ascr/Community-Resources/Program-Documents&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Listing&lt;/a&gt;&lt;/li&gt;
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&lt;h2 id=&#34;selected-images&#34;&gt;Selected Images&lt;/h2&gt;








    


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            &lt;img src=&#34;https://kalper.net/kp/kp/publication/2024-09-11-doe-analog/2024-09-11-DOE-Analog-Organizers_hu621cd03f2bd30ef597c214275bc6416b_207185_500x0_resize_q90_lanczos_3.png&#34; loading=&#34;lazy&#34; alt=&#34;2024-09-11-DOE-Analog-Organizers.png&#34; width=&#34;500&#34; height=&#34;707&#34;&gt;
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&lt;h2 id=&#34;selected-extracts&#34;&gt;Selected Extracts&lt;/h2&gt;
&lt;p&gt;Conventional digital computing faces fundamental physical limits: large scale computing systems already consume
tens of Megawatts of power, Dennard scaling has ended, and data movement costs dominate application
performance. Next generation experimental facilities generate data at rates that overwhelm conventional processing
and demand real-time analysis at the source. Analog computing, which exploits the continuous dynamics
of physical systems to perform computation, promises a transformative path toward orders-of-magnitude gains
in energy efficiency and time-to-solution for scientific workloads.&lt;/p&gt;
&lt;p&gt;The workshop’s findings also identified several
cross-cutting challenges underpinning all six PRDs, including a mathematical theory of continuous computation
under noise, programming abstractions and compiler toolchains, and community benchmarking infrastructure,
emphasizing the needs for a coordinated, multi-faceted effort to enable rapid progress in the area. The research
directions outlined in the workshop report aim to guide the development of energy-efficient analog computing
technologies that can support future scientific discoveries and address the growing energy demands of scientific
computing and artificial intelligence.&lt;/p&gt;
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