Celestech - GPU Software Development

Research

  GPU Software Development

    21st Century Super Computing

    Real World Example – Fast K-Nearest Neighbor Search

  Hyperspectral Image Processing

  Precision Time Synchronization

Inc. 500

GPU Software Development

Celestech continues to develop software application expertise and world-class algorithms for high performance parallel processors. This includes adapting Graphics Processing Units (GPUs) to perform signal and hyperspectral processing applications with amazing performance. Specific platforms include the NVIDIA GeForce and Tesla using the Compute Unified Device Architecture (CUDA) application program interface.

This software interface allows an off the shelf Graphics Processing Unit to serve as a high performance floating point compute engine for a wide range of applications. These Graphics Processing Units deliver extraordinary performance (Teraflop+) in a small, inexpensive package with unequaled FLOPS per dollar, pound, watt and cubic foot ratios.

Our technology research applies to a wide range of computationally intensive problems including:

Image Processing (Hyperspectral, SAR, etc.)
Signal Processing
Fast Search Algorithms (K-Nearest Neighbor)
Artificial Intelligence
Array Processing
Matrix Operations
Encryption/Decryption

Celestech can provide:

Proof of Concept Demonstrations
Parallel GPU Algorithm Development
Desktop and Server Applications and Subsystems

While GPU technology offers significant advantages, development has a steep learning curve. Celestech’s GPU Software developers and computer scientists have mastered these learning curve challenges and have developed the skills and experience to rapidly apply their knowledge and expertise to resolving your most challenging computational and development problems.