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- From: li@polaris.cs.pdx.edu (Jingke Li)
- Newsgroups: psu.msgs,pdx.general,or.general
- Subject: PSU Computer Science Colloquium (Monday 11/23)
- Message-ID: <6334@pdxgate.UUCP>
- Date: 20 Nov 92 16:18:22 GMT
- Article-I.D.: pdxgate.6334
- Sender: news@pdxgate.UUCP
- Reply-To: li@polaris.cs.pdx.edu (Jingke Li)
- Distribution: pdx
- Organization: Computer Science Dept., Portland State University, Portland, OR
- Lines: 42
-
-
- PSU Computer Science Colloquium
- ===============================
-
-
- Monday, November 23, 1992, 4PM
- -------------------------------
- SBA 290, SW 6th and SW Harrison
- (For parking info, call 725-4036)
-
-
- MetaMP: An Array Abstraction for Distributed Memory
-
- Steve W. Otto
- Oregon Graduate Institute
-
- ABSTRACT:
- MetaMP is an extension to the message passing environments Express
- or NX that supports distributed, multi-dimensional arrays. It is
- implemented as a pre-processor combined with a C runtime system. In
- the jargon of object-oriented techniques, MetaMP supports
- multi-dimensional arrays as distributed objects, and important
- patterns of communication and control involving the array are provided
- as object methods.
-
- MetaMP abstracts the single most important data structure for
- scientific computation, arrays, but many other data structures and
- associated mechanism need support. I will discuss our efforts to make
- MetaMP a user-extensible system. The tradeoffs involved in doing this
- versus embedding everything within a compiler is our current
- pre-occupation and will be covered.
-
- BIOGRAPHY:
- Steve Otto received a PhD in theoretical physics from Caltech in 1983.
- After graduation he worked as a PostDoc in the Caltech Concurrent
- Computation Program. He has worked for the NASA Jet Propulsion
- Laboratory, Ncube, and he spent a year as a visiting professor at
- Southampton University, UK. He is now an Assistant Professor in the
- Computer Science and Engineering Dept of the Oregon Graduate
- Institute. His research concerns programming environments for
- massively parallel computers, parallel algorithms, and combinatoric
- optimization algorithms.
-