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Squid Systems

Squid Systems, with headquarters in the U.S and development center in Hyderabad, India is an innovative software and hardware IP provider for low power, high performance computing applications such as image, vision, and video processing.

Squid’s R&D expertise includes image processing algorithms, efficient mapping of algorithms to architectures, audio/video codecs design and optimization, video standards such as H.264 , HEVC,  JPEG2000, DivX, in-depth knowledge of DSPs, embedded and desktop GPUs, multi-core system design and optimization, media frameworks on Android™, iOS, Windows and Linux, programming frameworks such as OpenCL™, OpenCV, among others.

Squid’s highly optimized video codec solutions (hardware and software IP) have been deployed  by major customers  in variety of systems ranging from tablets running on ARM® Cortex™-A9 processors and Cortex-A15 processors, to surveillance systems running on SoCs comprising of ARM cores in addition to Squid’s own IP blocks for video codec acceleration.

Squid's optimized HEVC Main Profile 1080p HD decoder

Squid’s video experts have created a highly parallel, multi-core optimized HEVC decoder for the ARM Cortex-A series such as ARM Cortex-A9 processors and ARM Cortex-A15 processors, supporting Main Profile Level 4.0, decoding 1920x1080p images at 30fps. The decoder effectively utilizes all available cores without recompilation by identifying the number of cores available at runtime and dynamically creating enough threads to handle all the high level parallelism in the decoding process. The decoder is further optimized to exploit ARM NEON™ vector instruction set fully in the compute intensive decoder functions.

  • Squid Systems HEVC decode demo
  • HEVC decode

    The decoder is compliant to HM 10.0 of the reference model and documentation and supports Tiles, Slices, Dependent slices, all slice types, entropy coding, SAO and deblocking filters. See all ARM demos
  • Tick Box
  • Optimized for Mali

    Squid Systems are working on the optimization of HEVC decoder and encoder currently and in the future advanced computer vision based object detection algorithms for mobile computing devices using the latest advancements in GPU Computing technologies on Mali graphics processor. Learn more about Mali GPUs

Further information

Squid Systems' website
See the latest updates from Squid Systems on their website

Smile to the camera, it's OpenCL!
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Realizing the benefits of GPU Compute for real application with Mali GPUs
An blog on the wide arrange of real use cases being addressed by OpenCL with Mali

Seeing the future with Computer Vision
How machines are interpreting the outside world; including ARM's acquisition of Apical.