Comments on: Programming a Parallel Future

By: Improved Means for Achieving Deteriorated Ends / Normal Thoughts, Nerd Thoughts

Improved Means for Achieving Deteriorated Ends / Normal Thoughts, Nerd Thoughts — Fri, 30 Jan 2009 18:57:05 +0000

[...] BitC and Coyotos. I came into programming last year excited about my understanding that to support the trend towards parallelism we had to rework something significant on at least one of the following levels [...]

By: Big Money for Big Database Company

Big Money for Big Database Company — Tue, 13 Jan 2009 17:45:52 +0000

[...] Parallel programming in the age of big data. 2. Programming a parallel future. 3. Terracotta doesn’t wnat to kill your database, just maim it. 4. Supercomputers, Hadoop, [...]

By: Thread Pool

Thread Pool — Sun, 09 Nov 2008 17:10:09 +0000

Very interesting article. I'm looking forward to further tech reports on this topic.

One thing I'd like to point out. The hardware CAD industry is another industry that has adopted parallelism through languages like Verilog, because of their need to model hardware which is inherently parallel in nature.

By: Mike

Mike — Sun, 09 Nov 2008 16:55:46 +0000

Just extrapolating Moore’s law give us super machines in just 10 years: http://disruptionmatters.com/2008/06/11/2018-what-laptop-will-you-use-in-ten-years/

By: Steve

Steve — Sun, 09 Nov 2008 06:55:02 +0000

…Links to TDWI webcast and whitepaper:

Webcast: http://www.asterdata.com/product/mapreduce.php

Whitepaper: http://download.101com.com/pub/TDWI/Files/TDWI_Monograph_BeyondReporting_October2008.pdf

By: Steve

Steve — Sun, 09 Nov 2008 06:50:43 +0000

Hi Joe,

Good article and whitepaper - (and thanks for the Aster mention). There is a clear shift toward parallelism to overcome data challenges. In case you didn't see it, there was a good article in the San Jose Mercury News last week.

Wayne Eckerson from TDWI also did a Webcast with Aster on MapReduce , as well as authored a whitepaper which folks might find interesting.

Thanks for shining a light on this.

By: First GigaOm post on data-parallelism is up « Data Beta

First GigaOm post on data-parallelism is up « Data Beta — Sun, 09 Nov 2008 04:50:10 +0000

[...] in Uncategorized The first of two invited posts at GigaOm are up. These are not researchy, they’re intended to be informative to a broad audience. [...]

By: 2 Blog ~ 2 Belong « Data Beta

2 Blog ~ 2 Belong « Data Beta — Sun, 09 Nov 2008 02:42:09 +0000

[...] invitations to guest blog at CCCBlog and GigaOM [...]

By: gp

gp — Sat, 08 Nov 2008 23:12:38 +0000

map reduce / fork and join was designed to distribute problem set to multiple computers or nodes in a grid not mutli core processors ….I think using mutiple threads with thread pool would help more muttli core processing ……or just use erlang !!