MulticoreWare and Imagination collaborate to boost automotive compute workloads

So far, the collaboration has achieved over 100x performance gains when running a stereo block matching (StereoBM) algorithm on the GPU rather than on the CPU on a high resolution (3200×2000) image, according to both companies.

“The automotive software revolution is driving the need for seamless intelligent features on low-power SoCs,” says Vish Rajalingam, VP & GM, mobility & transportation BU, MulticoreWare.

“Our experience with OpenCL and edge AI across all major AI accelerators, GPUs, and SoCs unlocks incredible possibilities for the future of mobility. We’re thrilled to partner with Imagination and their customers to collaboratively transform this exciting landscape.”

The partnership also enables automotive customers to use IMG BXS GPUs with OpenCL to achieve maximum performance per watt on TDA4 SoCs for sensor processing workloads (camera, radar, and lidar) augmenting other compute accelerators existing in the platform.

MulticoreWare optimized the StereoBM algorithm to leverage GPU cores. The IMG BXS-4-64 GPU intrinsics and adaptive memory handling helped achieve optimal performance on higher resolution camera data, both companies note.

Jake Kochnowicz, VP of Product Management, Imagination, adds, “The graphics processor can do so much more in a car than its traditional job of rendering pixels on the displays. It is also a flexible, programmable, and high-performance option for supporting a vehicle’s ADAS workloads.

“In a world where hardware is agreed very early in the lifecycle of a software-defined vehicle, GPUs are becoming a key differentiator that can unlock new functionality with a user-friendly software environment, just as this partnership with MulticoreWare has demonstrated.”

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Article Topics

GPU compute  |  Imagination Technologies  |  MulticoreWare  |  processor