{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T05:17:26Z","timestamp":1740028646223,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"abstract":"<jats:p>As the size of parallel computing systems inexorably increases, the proportion of resource consumption (design effort, operating power, communication and calculation latency) absorbed by &amp;lsquo;non-computing&amp;rsquo; tasks (communication and housekeeping) increases disproportionally. The SpiNNaker (Spiking neural net architecture) engine [1,2] sidesteps many of these issues with a novel architectural model: it is an isotropic &amp;lsquo;mesh&amp;rsquo; of (ARM9) cores, connected via a hardware communication network. The topology allows uniform scalability up to a hard limit of just over a million cores, and the communications network &amp;ndash; hardware handling packets of 72 bits &amp;ndash; achieves a bisection bandwidth of 5 billion packets\/s. The state of the machine is maintained in over 8TB of 32-bit memory, physically distributed throughout the system. There is no central processing &amp;lsquo;overseer&amp;rsquo; or synchronised clock. This paper discusses opportunities and challenges in applying the SpiNNaker architecture, within neural simulation and beyond.<\/jats:p>","DOI":"10.3233\/978-1-61499-381-0-334","type":"book-chapter","created":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T15:30:51Z","timestamp":1739979051000},"source":"Crossref","is-referenced-by-count":0,"title":["Atomic computing &amp;ndash; a different perspective on massively parallel problems"],"prefix":"10.3233","author":[{"family":"Brown Andrew","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Mills Rob","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Reeve Jeff","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Dugan Kier","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Furber Steve","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Advances in Parallel Computing","Parallel Computing: Accelerating Computational Science and Engineering (CSE)"],"original-title":[],"deposited":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T15:40:46Z","timestamp":1739979646000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0927-5452&volume=25&spage=334"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-381-0-334","relation":{},"ISSN":["0927-5452"],"issn-type":[{"value":"0927-5452","type":"print"}],"subject":[],"published":{"date-parts":[[2014]]}}}