High-throughput entropy decoding architecture
The high-throughput decoding architecture with parallel decoders and a free-space arbitration scheme addresses bandwidth mismatches, enhancing decoding efficiency and throughput for neural network computations.
Patent Information
- Application Number
- PCT/US2024/032108
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-05-31
- Publication Date
- 2025-12-04
AI Technical Summary
Existing data decoding technologies face challenges in achieving high-throughput data transfers due to bandwidth mismatches and throughput bottlenecks, particularly in the context of neural network computations, where Huffman decoding is a low-bandwidth operation that limits performance in high-throughput scenarios.
A high-throughput decoding architecture is implemented using a hardware integrated circuit with multiple decoders operating in parallel, employing a free-space based arbitration scheme to manage buffer space efficiently, ensuring consistent data flow and reducing latency through a block interleaved decoding technique.
This approach enhances decoding efficiency and throughput, enabling efficient decompression of machine-learning data, reducing memory space and bandwidth requirements, and improving compute utilization and energy consumption.
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Abstract
Citation Information
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