Superpy distributes python programs across a cluster of machines or across multiple processors on a single machine. This is a coarse-grained form of parallelism in the sense that remote tasks generally run in separate processes and do not share memory with the caller.

IanLewis のブックマーク 2010/05/14 11:22

<blockquote class="hatena-bookmark-comment"><a class="comment-info" href="https://b.hatena.ne.jp/entry/17194143/comment/IanLewis" data-user-id="IanLewis" data-entry-url="https://b.hatena.ne.jp/entry/s/code.google.com/archive/p/superpy" data-original-href="https://code.google.com/archive/p/superpy" data-entry-favicon="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fcode.google.com%2Farchive%2Fp%2Fsuperpy" data-user-icon="/users/IanLewis/profile.png">Google Code Archive - Long-term storage for Google Code Project Hosting.</a><ul class="comment-tag" style="list-style: none; margin: 0px;"><li style="float: left">[<a href="https://b.hatena.ne.jp/q/parallel">parallel</a>]</li><li style="float: left">[<a href="https://b.hatena.ne.jp/q/programming">programming</a>]</li><li style="float: left">[<a href="https://b.hatena.ne.jp/q/python">python</a>]</li><li style="float: left">[<a href="https://b.hatena.ne.jp/q/computing">computing</a>]</li></ul><br><p style="clear: left">Superpy distributes python programs across a cluster of machines or across multiple processors on a single machine. This is a coarse-grained form of parallelism in the sense that remote tasks generally run in separate processes and do not share memory with the caller.</p><a class="datetime" href="https://b.hatena.ne.jp/IanLewis/20100514#bookmark-17194143"><span class="datetime-body">2010/05/14 11:22</span></a></blockquote><script src="https://b.st-hatena.com/js/comment-widget.js" charset="utf-8" async></script>

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