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EdgeCortix Collaborates with Renesas to Deliver Enhanced Feature-Rich Compiler for the Renesas DRP-AI AI-Accelerator

PRNewswire July 12, 2022

TOKYO, July 12, 2022 /PRNewswire/ — EdgeCortix┬« Inc., an innovative fabless semiconductor design company with a software first approach, focused on delivering class-leading compute efficiency and latency for edge artificial intelligence (AI) inference, announced today a collaboration with Renesas Electronics Corporation (Renesas).

Through this collaboration, EdgeCortix has taken its industry leading heterogeneous platform-based compiler framework MERA and developed a new compiler, DRP-AI* TVM for Renesas’ DRP-AI1 accelerator. The new compiler is available with associated┬ásoftware and tools and works in combination with Renesas’ DRP-AI tools.

“We are eager to apply the power of our MERA compiler across many heterogeneous environments, including leading FPGA boards, EdgeCortix’s own custom AI-Inference ASIC and today, integration with Renesas’ DRP-AI,” said Sakyasingha Dasgupta, Founder and CEO of EdgeCortix.┬á “We are very pleased that Renesas has realized the value, utility, and performance that our MERA solution offers in developing the compiler for DRP-AI. By applying EdgeCortix’s MERA compiler technology to DRP-AI TVM, this combination will create significant business opportunities and value for both Renesas and their end customers in four key functional areas. Namely, Expanded Model Support, ML Framework Expansion, Support for Floating-point 16 and overall Performance Enhancements.”

EdgeCortix Delivered Key Business Outcomes via MERA collaboration with Renesas DRP-AI Tool:

  • Expanded Model Support:┬áMore robust AI model support (20+ models explored) with significantly enhanced flexibility and end-user ease-of-use enhancement.
  • ML Framework expansion:┬áFuture proofing the DRP-AI product utility, by adding PyTorch support and making the ONNX support more robust. TensorFlow support to be added in ongoing future work.
  • Support for Floating-point 16 bit to MERA and extended OSS tool Apache TVM. Lower-precision support being added in ongoing future work.
  • Performance Enhancements:┬áImproved performance especially for models with operators shared between host CPU and DRP-AI (a new feature added with this integration work).

“We recognized immediately the value of adding the MERA compiler and associated tool set to the RZ/V MPU series, as we expect many of our┬ácustomers to implement application software including AI technology,” said Shigeki Kato, Vice President, Enterprise Infrastructure Business Division┬áat Renesas. “As we┬ádrive innovation to meet our customer’s needs, we are┬ácollaborating with EdgeCortix to rapidly provide our customers with robust, high-performance and flexible AI-inference solutions. The EdgeCortix team has been terrific, and we are excited by the future opportunities and possibilities for this ongoing relationship.”

About EdgeCortix Inc.

EdgeCortix┬áis a fabless semiconductor design company focused on enabling energy-efficient edge intelligence. It was founded in 2019 with the radical idea of taking a software first approach, while designing an artificial intelligence specific runtime reconfigurable processor from the ground up using a technique called “hardware & software co-exploration”.┬á Targeting advanced computer vision applications first, using proprietary hardware and software IP on existing processors like FPGAs and custom designed ASIC, the company is geared towards positively disrupting the rapidly growing AI hardware space across defense, aerospace, smart cities, industry 4.0, autonomous vehicles and robotics.

For more details, contact: info@edgecortix.com

┬® Copyright 2022 EdgeCortix, Inc. All rights reserved worldwide. EdgeCortix, the EdgeCortix logo and Dynamic Neural Accelerator are trademarks or registered trademarks of EdgeCortix, Inc. (or its group companies) in the US and other countries. EdgeCortix Inc. is a wholly owned subsidiary of EdgeCortix Pte. Ltd.

1 Dynamically Reconfigurable Processor for AI

SOURCE Edgecortix, Inc.

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