All-in-one GPU Programming solution

The fastest way to GPGPU results

The perfect marriage, NVIDIA Tesla GPU workstation with CAPS DevDeck Linux. The suite includes CAPS HMPP™, a simple directive-based compiler to build parallel GPU accelerated applications. Also included is HMPP Performance analyzer, and HMPP Wizard, to guide your development choices.

Based on a C and FORTRAN directives, HMPP source-to-source compiler preserves your original code investment. HMPP simplifies code parallelization, memory management, to fully leverage the computing power of GPU processors, while integrating with the massively data-parallel backend for NVIDIA CUDA. The HMPP runtime also ensures application deployment on multi-GPU systems. And last but not least , the cost of all DevDeck elements purchased separately amounts to 8000 Eu, but our announced price is only 2900 Eu with a 65% cost saving!

Work smarter! Use a 3 step methodology to reduce the cost:

1. Diagnostic
This preliminary code study will highlight the potential of optimization of your code on hybrid architecture;

2. Functional migration to GPU
CPU code optimization, exhibition of SIMT parallelism, hotspot push on GPU and validation of CPU-GPU execution.

3. GPU Code Tuning for improving performance.
By using this methodology you can implement the migration in a fast, easy and incremental way.

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