Why Choose Trenton
Multiple SBCs Configured in a Single Integrated System
System BIOS Modifications
Full System Integration, Test and Validation
Industry Leading Engineering and Customer Support
30+ Years of Design and Manufacturing Experience
Product Spotlight TCS4501
- 4U 19" rackmount server
- Short 20.0" depth chassis
- Four hot swap drive bays
- Rugged aluminum enclosure
The BPG7087 PCIe backplane inside Trenton's TCS4501 can host up to 4 NVIDIA® Tesla™ C20-series GPUs, making it an ideal rackmount server for any GPU computing application.
GPU Computing
- Bioinformatics
- Machine vision
- Seismic image analysis
- Signals intelligence
- Thermal analysis
- Modeling & Simulation
- Geonomics Research
- Video surveillance
- Radar image processing
GPU Computing Creates New Paradigm
The origin of high-performance computing was based on clustering multiple CPUs, and more recently, clustering scores of multi-core CPUs in order to achieve increasing levels of computational power. The GPU (Graphics Processing Unit), and the recent advent of GPU Computing, has created a quantum shift in computing architecture by introducing a hybrid model in which GPUs work in conjunction with CPUs.
GPU Technology Excels at Parallel Processing
While CPUs are excellent sequential processors adept at serial operations, GPUs were designed from the start to excel at processing similar data that can be split into many pieces and processed in parallel. This is due to the fact that GPUs contain hundreds of parallel cores which are capable of running thousands of parallel threads.
Programmers take advantage of this architecture by directing the most performance-critical sections of their programs to run on multiple GPU cores. By offloading the CPU, 10x or greater performance increases are common, and this factor is sure to increase as future generations of GPU computing technology are developed.
Trenton Servers are Designed for GPU Computing
Utilizing the latest Intel multi-core CPUs and industry standard PCI Express 2.0/3.0 technology, Trenton servers are ideal for building GPU Computing solutions based on advanced hardware such as the NVIDIA® Tesla™ GPU 20-series computing processors and underlying CUDA™ GPU parallel architecture. For more information about NVIDIA's approach to GPU Computing, download the NVIDIA Tesla GPU Computing Brochure.
Trenton’s knowledge of high-speed bus technology, BIOS configuration, system power requirements, shock & vibration, and thermal characteristics is incorporated into every computer system, single board computer, backplane and embedded motherboard.
Modeling System Leverages GPU Computing - Article