Using SGC-Ruby-CUDA on the Newly Launched Amazon EC2 Cluster GPU

Wonder if GPU works for you? No budget for a system with decent GPU? Installations and configurations are too much trouble for you? You can now try out SGC-Ruby-CUDA on Amazon EC2 with the system image, located at US East Virginia zone, called SGCRubyCUDA.1 which is available as a community AMI.

Compile for rubycu shared library and run tests.

[root@ip-10-17-130-174 sgc-ruby-cuda.git]# rake
(in /root/sgc-ruby-cuda.git)
checking for main() in -lcuda... yes
creating Makefile
g++44 -I. -I/usr/local/include/ruby-1.9.1/x86_64-linux -I/usr/local/include/ruby-1.9.1/ruby/backward -I/usr/local/include/ruby-1.9.1 -I.   -fPIC -O3 -ggdb -Wextra -Wno-unused-parameter -Wno-parentheses -Wpointer-arith -Wwrite-strings -Wno-missing-field-initializers -Wno-long-long   -o rubycu.o -c rubycu.cpp
g++44 -shared -o rubycu.so rubycu.o -L. -L/usr/local/lib -Wl,-R/usr/local/lib -L.  -rdynamic -Wl,-export-dynamic   -lcuda  -lpthread -lrt -ldl -lcrypt -lm   -lc

[root@ip-10-17-130-174 sgc-ruby-cuda.git]# rake test
(in /root/sgc-ruby-cuda.git)
/usr/local/bin/ruby -I"lib:lib" "/usr/local/lib/ruby/1.9.1/rake/rake_test_loader.rb" "test/test_rubycu.rb" 
Loaded suite /usr/local/lib/ruby/1.9.1/rake/rake_test_loader
Started
......................
Finished in 89.055900 seconds.

22 tests, 99 assertions, 0 failures, 0 errors, 0 skips

Test run options: --seed 25668

Compile for rubygems then install it and try some SGC-Ruby-CUDA APIs.

[root@ip-10-17-130-174 sgc-ruby-cuda.git]# rake gem
(in /root/sgc-ruby-cuda.git)
mkdir -p pkg
  Successfully built RubyGem
  Name: sgc-ruby-cuda
  Version: 0.0.1
  File: sgc-ruby-cuda-0.0.1-x86_64-linux.gem
mv sgc-ruby-cuda-0.0.1-x86_64-linux.gem pkg/sgc-ruby-cuda-0.0.1-x86_64-linux.gem

[root@ip-10-17-130-174 sgc-ruby-cuda.git]# cd pkg
[root@ip-10-17-130-174 pkg]# gem install sgc-ruby-cuda-0.0.1-x86_64-linux.gem 
Successfully installed sgc-ruby-cuda-0.0.1-x86_64-linux
1 gem installed
Installing ri documentation for sgc-ruby-cuda-0.0.1-x86_64-linux...
Installing RDoc documentation for sgc-ruby-cuda-0.0.1-x86_64-linux...

[root@ip-10-17-130-174 pkg]# gem list

*** LOCAL GEMS ***

minitest (1.6.0)
rake (0.8.7)
rdoc (2.5.8)
sgc-ruby-cuda (0.0.1 x86_64-linux)

[root@ip-10-17-130-174 pkg]# irb
irb(main):001:0> require 'rubycu'
=> true
irb(main):002:0> include SGC::CU
=> Object
irb(main):004:0> CUDevice.get_count
=> 2
irb(main):005:0> d = CUDevice.get(0)
=> #<SGC::CU::CUDevice:0x0000000908c920>
irb(main):006:0> c = CUContext.new.create(0, d)
=> #<SGC::CU::CUContext:0x0000000907af40>
irb(main):007:0> d.get_name
=> "Tesla M2050"
irb(main):009:0> d.compute_capability
=> {:major=>2, :minor=>0}
irb(main):010:0> d.total_mem
=> 2817982464

Note: Remember to select Cluster GPU, when launching the instance.