VISUALIZATION

Engineered Intelligence (EI), the leader in Enterprise Parallel Computing, today introduced two new versions of its CxC (“C by C”) parallel application development software, enabling academic users to easily create and run parallel applications without being parallel computing experts. Priced at $49, the Linux version of CxC is intended for students who want a simpler solution than MPI (Message Passing Interface). For users who prefer Windows, the CxC Academic Version for Windows is available for $99. "We plan to use the CxC Parallel Computing Development System as the key software resource in our graduate-level course in parallel algorithms” said William Root, Department of Computer Science, San Diego State University, San Diego, California. “The capability this product affords our students to design and test parallel algorithms in a virtual parallel environment on their own PC's at home, and then to run their code unaltered on a real cluster in our laboratory on campus, makes the CxC Parallel Computing Development System an ideal teaching tool.” SDSU plans to offer the CxC academic versions to students through the university bookstore. Designed for users who have never done parallel computing, EI developed CxC specifically for parallel applications. From the beginning, CxC was built with Symmetric Multi-Processing (SMP) cluster computing in mind, using virtualization techniques that make it unique in its approach. CxC was designed to simplify the modeling and simulation of complex scientific and engineering algorithms. It is multi-platform and allows for the creation of parallel applications on a laptop or PC, running Linux or Windows. By running the same executable on hundreds of low-cost processors in a compute cluster, supercomputing performance is achieved. Unlike other parallel programming approaches, CxC allows easy prototyping and development of parallel algorithms, combining simple deadlock-free syntax and semantics with powerful linear scalability. CxC programs are easier to develop and are faster in performance than equivalent message passing or shared memory programs. “The academic versions of CxC bring parallel computing to students and researchers who want better, faster results without having to learn complex programming paradigms like MPI. We’re pleased that SDSU and other schools want to use CxC to teach parallel computing to these users.” said Matt Oberdorfer, President and CEO of Engineered Intelligence. “With CxC, science, engineering, mathematics and finance students can easily create parallel algorithms and benefit from powerful cluster computing.” Pricing and Availability List price for CxC Academic Version for Linux is $49 and the Windows version, which includes a graphical user interface in an integrated development environment, is $99. Both versions are available immediately and can be ordered online through the EI Store at www.engineeredintelligence.com, by contacting sales@engineeredintelligence.com, or by calling 650-587-7114.