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Accelerate Time-to-Solution with Star-P!
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Productivity Breakthrough for MATLAB®, Python, R, and others. . .
Programming that took months, can be done in days; and simulation runs that took days can be done in minutes.
The Star-P open software platform delivers revolutionary results to scientists, engineers and analysts by enabling them to transparently use high performance computing resources, using familiar desktop tools such as MATLAB®, Python, R and many others.
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10-100X Faster Computations
By transparently leveraging the parallel computing capability, Star-P enables simulations developed in desktop tools to be processed in parallel, dramatically accelerating computation time
10-100X Larger Data Sets
Using Star-P, desktop application users can work with large, distributed datasets - gigabytes and even terabytes in size - distributed across servers, clusters, and grids.
No Need for C/Fortran/MPI Re-Programming
With Star-P, there is no need to use low-level languages and constructs of C, Fortran, and MPI, to take advantage of high performance computing resources. Using the Star-P Connect library API, users can leverage library functions from open source community and commercial vendors written in C or Fortran.
The kit explores critical challenges in solving large and complex problems in science and engineering, and presents emerging trends in programming parallel servers and clusters.
- White Paper: Delivering Interactive Parallel Computing Power to the Desktop
- Reprint from Desktop Engineering: A New Parallel Programming Model
- Star-P Product Overview: Solving Critical Challenges in Science & Engineering
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