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Data Parallel

Multiprocessors, Multicore processors, Multithreading. Wednesday, April 27, 2011. Java Concurrency and Performance Testing. Any moderately complex distributed application or an application that benefits from parallelization will require the use of threads in order to fully utilize the multicore multiprocessor architecture in use virtually everywhere now. One part of your design that should be done in "parallel" is the development of a concurrency and performance testing framework. Out of order execution.

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Multiprocessors, Multicore processors, Multithreading. Wednesday, April 27, 2011. Java Concurrency and Performance Testing. Any moderately complex distributed application or an application that benefits from parallelization will require the use of threads in order to fully utilize the multicore multiprocessor architecture in use virtually everywhere now. One part of your design that should be done in parallel is the development of a concurrency and performance testing framework. Out of order execution.
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Data Parallel | dataparallel.blogspot.com Reviews

https://dataparallel.blogspot.com

Multiprocessors, Multicore processors, Multithreading. Wednesday, April 27, 2011. Java Concurrency and Performance Testing. Any moderately complex distributed application or an application that benefits from parallelization will require the use of threads in order to fully utilize the multicore multiprocessor architecture in use virtually everywhere now. One part of your design that should be done in "parallel" is the development of a concurrency and performance testing framework. Out of order execution.

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1

Data Parallel: Custom Multiprocessor Parallel Processing Hardware Experimentation

http://www.dataparallel.blogspot.com/2010/11/multiprocessor-grid-using-parallax.html

Multiprocessors, Multicore processors, Multithreading. Monday, November 1, 2010. Custom Multiprocessor Parallel Processing Hardware Experimentation. You can follow progress of the KiloCore prototype on the kilocore.blogspot.com blog. Custom Multiprocessor Parallel Processing Hardware Experimentation:. As we increase the cores past the kilocore range the actual power of the processor is less important - it is the connection topology (Hypercube or rectilinear network) and the parallel problem space that re...

2

Data Parallel: November 2010

http://www.dataparallel.blogspot.com/2010_11_01_archive.html

Multiprocessors, Multicore processors, Multithreading. Monday, November 1, 2010. Custom Multiprocessor Parallel Processing Hardware Experimentation. You can follow progress of the KiloCore prototype on the kilocore.blogspot.com blog. Custom Multiprocessor Parallel Processing Hardware Experimentation:. As we increase the cores past the kilocore range the actual power of the processor is less important - it is the connection topology (Hypercube or rectilinear network) and the parallel problem space that re...

3

Data Parallel: April 2011

http://www.dataparallel.blogspot.com/2011_04_01_archive.html

Multiprocessors, Multicore processors, Multithreading. Wednesday, April 27, 2011. Java Concurrency and Performance Testing. Any moderately complex distributed application or an application that benefits from parallelization will require the use of threads in order to fully utilize the multicore multiprocessor architecture in use virtually everywhere now. One part of your design that should be done in "parallel" is the development of a concurrency and performance testing framework. Out of order execution.

4

Data Parallel: Java Concurrency and Performance Testing

http://www.dataparallel.blogspot.com/2011/04/java-concurrency-and-performance.html

Multiprocessors, Multicore processors, Multithreading. Wednesday, April 27, 2011. Java Concurrency and Performance Testing. Any moderately complex distributed application or an application that benefits from parallelization will require the use of threads in order to fully utilize the multicore multiprocessor architecture in use virtually everywhere now. One part of your design that should be done in "parallel" is the development of a concurrency and performance testing framework. Out of order execution.

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Silicon Devices: Embedded Web Server Development kits from Parallax and XMOS

http://obriensilicon.blogspot.com/2010/11/parallax-propeller-embedded-web-server.html

Saturday, November 20, 2010. Embedded Web Server Development kits from Parallax and XMOS. XMOS: XC-2 - An XS1-G4 based Embedded Web Server running a phy Ethernet interface. The XMOS web server development kit - the XC-2 is an excellent piece of hardware that runs the 32-thread 4-core XS1-G4 processor with integrated communications switch. The kit ships with an implementation of an IP stack based on lwIP. With most of the hardware functions implemented in software in parallel XC. The web server from Paral...

distributedjava.blogspot.com distributedjava.blogspot.com

Distributed Java: January 2011

http://distributedjava.blogspot.com/2011_01_01_archive.html

Java based concurrent software and strategies for Grid, Cloud and Clustered environments. Monday, January 10, 2011. Multiple Instruction Multiple Data. We need to start thinking about how existing and future Java API's will work with all the combinations of multiple data sets, multiple virtual machines, multiple physical hardware devices and multiple clients. The issues surround how we handle concurrent access, availability, synchronization, distribution and sharing of all these resources.

distributedjava.blogspot.com distributedjava.blogspot.com

Distributed Java: Accessing multiple remote EJB 3.0 Session Beans via JNDI in an SE Client - Experiment

http://distributedjava.blogspot.com/2010/11/accessing-multiple-remote-ejb-30.html

Java based concurrent software and strategies for Grid, Cloud and Clustered environments. Tuesday, November 2, 2010. Accessing multiple remote EJB 3.0 Session Beans via JNDI in an SE Client - Experiment. This project is superceeded by the Collatz Distributed Java EE Application Tutorial. This code will run on both a Java SE client or an EE container like Oracle WebLogic. WebLogic RMI Client Configuration. Here we have a very simple JNDI client that acts as a hello world. The JNDI protocol uses t3. Statef...

kilocore.blogspot.com kilocore.blogspot.com

KiloCore: January 2011

http://kilocore.blogspot.com/2011_01_01_archive.html

About Kilo core class custom processors or machines. Friday, January 7, 2011. The following designs are possible alternatives or successors to my existing hypercube or array processor designs. The data flows in a single direction in a pipeline or tree fashion where each core performs a single process on the dataset which is passed along to the next node(s). D2: Data Parallel Processor. This architecture is fine grained and usually assigns a single core to each data point for SIMD oriented user software.

obrienscience.blogspot.com obrienscience.blogspot.com

OBrien Science: December 2010

http://obrienscience.blogspot.com/2010_12_01_archive.html

Wednesday, December 15, 2010. Http:/ ccsl.mae.cornell.edu/eureqa. Cornel has evidently expanded on traditional evolutionary algorithms (EP/EA) with a theorem generating engine. This is based on work by previous researchers such as J.Koza, M. Mitchel, J. Resnik and others. Http:/ www.evilmadscientist.com/. Posted by Michael O'Brien. Subscribe to: Posts (Atom). JAX-RS 2.0 Client API on Tomcat 8 running Spring 4, Hibernate 4 with a Jersey 2 RestController. HTML5 Canvas element has arrived.

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OBrien Science: February 2013

http://obrienscience.blogspot.com/2013_02_01_archive.html

No posts. Show all posts. No posts. Show all posts. Subscribe to: Posts (Atom). JAX-RS 2.0 Client API on Tomcat 8 running Spring 4, Hibernate 4 with a Jersey 2 RestController. HTML5 Canvas element has arrived. Java Concurrency and Performance Testing. LED Display Board using the Propeller 8-core processor driven by the javax.comm and java.net Java APIs. Lower Latitude Jet Stream means lower temperatures. View my complete profile. Picture Window template. Powered by Blogger.

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OBrien Science: January 2011

http://obrienscience.blogspot.com/2011_01_01_archive.html

Sunday, January 23, 2011. Note: 20110218 - See the following distributed application case study that uses Collatz to research concurrency issues. Http:/ wiki.eclipse.org/EclipseLink/Examples/Distributed. It turns out that you get much better performace by using the following java virtual machines in descending order. SUN 1.6 server 64bit, Oracle JRockit 32/64bit, the latest 1.6.0 23 SUN and lastly older SUN 1.6 JVM's . See: http:/ en.m.wikipedia.org/wiki/Collatz conjecture? The good news is - we now have...

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OBrien Science: March 2011

http://obrienscience.blogspot.com/2011_03_01_archive.html

Friday, March 25, 2011. Distributed and Multithreaded Applications. A problem that maps very well to multiple cores and is easily parallelized is the computation of the Mandelbrot set. The performance increase nears it's maximum 8 times increase for an Intel Corei7-920 when I approach a thread/line of 512 threads. As you can see from the graph, we benefit more from a massive number of threads - as long as they are independent. The Mandelbrot. Multicore Rendering of Mandelbrot Set. For 8 cores - to 99%.

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OBrien Science: November 2010

http://obrienscience.blogspot.com/2010_11_01_archive.html

Wednesday, November 3, 2010. Martin Gardner - thank you for the inspiration. Was one of my earliest influences. I started reading his mathematical games column in Scientific American from 1978 to 1981 when I was in grade school and had just recieved my first TRS-80 COCO 8-bit computer. His 1990 book "The New Ambidextrous Universe: Symmetry and Asymmetry from Mirror Reflections to Superstrings" was the catalyst of many experimental software explorations in mathematics on my Amiga. I am extremely gratefull.

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Data Parallel

Multiprocessors, Multicore processors, Multithreading. Wednesday, April 27, 2011. Java Concurrency and Performance Testing. Any moderately complex distributed application or an application that benefits from parallelization will require the use of threads in order to fully utilize the multicore multiprocessor architecture in use virtually everywhere now. One part of your design that should be done in "parallel" is the development of a concurrency and performance testing framework. Out of order execution.

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