EM Photonics, Inc.


EM Photonics provides high-performance computing and embedded-systems solutions that accelerate computationally intensive applications using GPUs, FPGAs and other parallel platforms. The company develops GPU- and FPGA-based software and hardware for image processing, linear algebra, scientific computing and defense-related signal processing, and offers consulting, training and custom embedded-device development.

Industries

N/A

Nr. of Employees

small (1-50)

EM Photonics, Inc.

51 East Main Street, Suite 203, Newark, DE 19711


Patents

Method for using a graphics processing unit for accelerated iterative and direct solutions to systems of linear equations

US-8495120-B2

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Products

GPU-accelerated linear algebra library (commercial)

A commercial software library providing GPU-accelerated dense and sparse linear algebra routines to accelerate numerical workflows.

Imaging enhancement systems for long-range surveillance

Hardware and software solutions for enhancing long-range imaging, including atmospheric compensation algorithms implemented on embedded platforms.


Services

Advisory and hands-on services to analyze, port, and optimize applications for GPU platforms, including performance tuning and algorithm redesign.

Design and development of custom embedded devices using GPU and FPGA platforms optimized for power, size and real-time performance.

Training courses and workshops in GPU programming models and best practices for porting and optimizing code on parallel hardware.

Expertise Areas

  • High-performance computing (HPC)
  • GPU-accelerated computing
  • Embedded systems design (GPU and FPGA)
  • Image processing and atmospheric compensation
  • Show More (4)

Key Technologies

  • General-purpose GPU computing
  • Field-programmable gate arrays (FPGAs)
  • Multi-GPU clusters
  • GPU-accelerated linear algebra
  • Show More (4)

News & Updates

Company participation in NVIDIA's GPU Technology Conference.

Company presence at SC'11 conference.

Press release announcing a GPU-accelerated sparse linear algebra product.

Press release about a software release with updated GPU platform support.

Press release describing development of advanced algorithms on a multi-GPU cluster for a defense customer.

Conference paper on GPU acceleration of sparse linear algebra presented at SPIE DSS 2011.

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