Optimized rotary positional embedding on neural network accelerator
TW202632536APending Publication Date: 2026-08-01INTEL CORP
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Patent Information
- Authority / Receiving Office
- TW · TW
- Patent Type
- Applications
- Current Assignee / Owner
- INTEL CORP
- Filing Date
- 2025-10-14
- Publication Date
- 2026-08-01
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Abstract
Rotary positional embedding (RoPE) execution on some DNN accelerators can be a bottleneck of performance. To address this issue, inefficient operations in RoPE are identified by a compiler and replaced by convolution operators. Executing RoPE can involve performing a reshaping operation, a concatenating operation, and a convolution operation. These operations can be executed efficiently on DNN accelerators optimized to perform convolutions.
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