hadoop-common-commits mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Apache Wiki <wikidi...@apache.org>
Subject [Hadoop Wiki] Trivial Update of "Hama" by udanax
Date Mon, 03 Mar 2008 08:31:47 GMT
Dear Wiki user,

You have subscribed to a wiki page or wiki category on "Hadoop Wiki" for change notification.

The following page has been changed by udanax:
http://wiki.apache.org/hadoop/Hama

------------------------------------------------------------------------------
  
  Currently, several shared-memory based parallel matrix solutions can provide a scalable
and high performance matrix operations, but matrix resources can not be scalable in the term
of complexity.  The '''Hama''' approach proposes the use of 2-dimensional Row and Column(Qualifier)
space and multi-dimensional Columnfamilies of Hbase, which is able to store large sparse and
various type of matrices (e.g. Triangle Matrix, 3D Matrix, and etc.).  In addition, auto-partitioned
sparsity sub-structure will be efficiently managed and serviced by Hbase. Row and Column operations
can be done in linear-time, where several algorithms such as structured Gaussian elimination
and iterative methods run in O(~-the number of non-zero elements in the matrix-~ / ~-number
of mappers (processors/cores)-~) time on Hadoop Map/Reduce. 
  === Initial Contributors ===
-  * Edward Yoon (R&D center, NHN corp.) 
+  * [:udanax:Edward Yoon] (R&D center, NHN corp.) 
   * Chanwit Kaewkasi (Ph.D candidate, University of Manchester)
  === Dependencies ===
   * Hadoop (HDFS, Map/Reduce) License: Apache License, 2.0 
@@ -26, +26 @@

   * Crout Decomposition 
   * Doolittle Decomposition
  === API & Groovy Support ===
- The '''Hama''' project Utilities Groovy for simplification of computational language with
generalized the matrix Java Interface.
+ The '''Hama''' project utilities Groovy for simplification of computational language with
generalized the matrix Java Interface.
  For example, we can perform a parallel matrix multiplication by expressing as follows:
  {{{
  Java API :

Mime
View raw message