ALL-IN-ONE GPU PROGRAMMING SOLUTION GUIDED GPU CODE MIGRATION METHODOLOGY
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 analyser, 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 parallelisation, 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.

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

This preliminary code study will highlight the potential of optimisation of your code on hybrid architecture.

Functional migration to GPU

CPU code optimisation, exhibition of SIMT parallelism, hotspot push on GPU and validation of CPU-GPU execution.

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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PC WITH TESLA GPU & CUDA
CAPS DevDeck Linux 65% off

For HPC solutions and further information, please use the following contact details.

Tel: 01727 201860   Fax: 01727 201888   Email: hpc@viglen.co.uk

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