FORT COLLINS, Colorado -- Engineered Intelligence Corporation (EI) announced a new program, “Get a Grant with EI” - whereby EI works on grant proposals and projects with researchers and scientists in Life Sciences who want to convert serial applications in Fortran, C or C++ to parallel codes, or want to develop new applications with parallel performance and harness the power of parallel computers, grids and clusters. EI offers technical and business expertise to develop proposals and implement project plans for transforming these applications. Working with researchers to analyze Life Sciences applications for their ability to be parallelized and the performance improvements that can be expected, EI and its partners will jointly develop grant proposals and pursue development of parallel Life Sciences applications. “As the Life Sciences industry moves to the next generation of high performance computing, applications need to be updated to take advantage of parallel execution for faster and more accurate results,” said Richard Casey, Ph.D., Founder and CTO of RMC Software. “Working with EI gives companies a basis for updating old applications, creating new ones, and building a research partnership with strong commercial support.” The new program uses EI’s CxC2, a parallelization framework for transforming scientific and engineering applications written in FORTRAN, C or C++ into parallelized versions that run effectively on high-performance supercomputers, grids and clusters. In addition, CxC2 offers the ability to integrate existing C, C++ and FORTRAN libraries into CxC2 programs. The CxC2 solution significantly lowers overall time and costs of development; and enables a parallel computing paradigm scalable to millions of processors to provide the best platform for highly parallel applications. CxC2 has been used to parallelize equation solvers used in molecule simulations for biochemistry and in image-processing algorithms “This new ‘Get A Grant’ program allows researchers to move their applications to the next generation computing platforms and realize the benefits of parallel computing,” EI’s CEO, Matt Oberdorfer, reports. “By partnering with EI, researchers can move from serial to parallel computing and keep their investment in current codes – but make their algorithms more effective and gain processing and computation capability with low-cost, high-performance hardware platforms. EI brings the parallel power of supercomputers to the desktop of every engineer and provides a standard for parallel computing in heterogeneous environments.”