oSCJ News

Recently, there has been a lot of activity around the oSCJ project, here is a short summary.

We currently develop several new features in parallel:
  • SCJ benchmarks - we have added a set of new SCJ programs to compare performance and memory usage of the SCJ memory management againts real-time garbage collection algorithms
  • SCJ Annotations - soon, our annotation checker will be extended to cover a full-scale of different allocation scenarios to guarantee memory safety of the applications running on oSCJ. Furthermore, this feature will allow us to disable the runtime scope checks in the underlying VM, achieving 5-10% speed-up!
  • SCJ library extensions - as JSR-302 is nearing to its completion, we extend the set of supported features.
Also, the installation and running of oSCJ is now super-easy! First, you can get an academic version of FijiVM - our major platform for running oSCJ. Just contact us so we can send you the Fiji VM distribution!

Installation procedure:
$ wget fivm.tar.gz
$ untar fivm.tar.gz 
cd fivm 
$ hg clone https://scj-jsr302.googlecode.com/hg/ scj

and then compile FijiVM, which will also compile the oSCJ as well:
$ autoreconf -i 
$ ./configure
$ make 

To update oSCJ:
$ cd fivm/scj
$ hg pull
$ hg update 

For your better orientation in the distribution directory, here is a structure of the distribution directory
fivm/                 fivm/scj
  lib/                this is where "scj.jar" is 
    oSCJ/             oSCJ root dir
      doc/              Documenation 
      examples/         oSCJ examples and benchmarks dir
        minicdx/          our CDx benchmark implemented in SCJ
        hello/            SCJ helloworld example
      scj/              oSCJ library implementation
        ri/               SCJ library source codes
      tools/            our SCJ tools
        checker/          Static Checker for SCJ
        tck/              TCK for SCJ

See our oSCJ Code base for the most recent updates.


Azul@Purdue Project

Recently, our team acquired a revolutionary Azul appliance platform. I had a great opportunity to play with this exciting hardware a little when installing and running the first helloworld programs both in Java and C. This was the first time ever that this machine was used in an academic institution. Here is some more info:

Azul appliance is built around the Vega 3 chip and is a unique virtualization platform that features 54 cores pre processor giving users the power to run up to 800 Java threads in parallel.  Futhermore, the appliance offers ~700GB of memory while running a concurrent GC that achieves garbage collection without any pauses in the host application.

Find more at our webpage: http://sss.cs.purdue.edu/projects/azul/