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New Approach Proves Highly Effective at Attending to Automobile Data Processing Demands

12 January 2024

Working in collaboration, MulticoreWare and Imagination Technologies have been successful in undertaking ground-breaking graphics processing unit (GPU) operations on Texas Instruments’ TDA4VM automotive-grade Arm-based Jacinto architecture system-on-chip (SoC) device.

Consequently a dramatic performance improvement has been witnessed in relation to the workloads that need addressing in modern vehicles - whether it is in respect to autonomous/semi-autonomous driving or advanced driver assistance system (ADAS) implementations. A doubling of the performance figures was achieved when running a stereo block matching (StereoBM) algorithm on the IMG BXS-4-64 GPU rather than relying on the central processing unit (CPU). Greater performance/Watt can thus be attained on the TDA4 SoC when dealing with heavy processing workloads (like 3D imaging data and suchlike). 

According to MulticoreWare’s VP for Mobility & Transportation, Vish Rajalingam; “The automotive software revolution is driving the need for seamless intelligent features on low-power SoCs. 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 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,” adds Jake Kochnowicz, VP of Product Management at Imagination Technologies.

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