Context-Adaptive Binary Arithmetic Decoder Low Latency Prefetch
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Solution Overview
Problem
Conventional context-adaptive binary arithmetic decoders suffer from two-cycle latency due to memory delays, limiting their speed and preventing them from decoding a new binary value every cycle, which affects timing closure and decode operations.
Innovation Solution
A circuit that generates a select signal to predict next states and prefetches multiple context variables several cycles in advance, allowing for simultaneous buffering and minimizing wait states, enabling decoding of a new binary value in each cycle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional context memory with single-port access is used, then device complexity is reduced, but two-cycle latency occurs preventing full-speed decoding
Solution Approach 1:
The patent implements a multi-port context memory that prefetches context variables in advance before they are needed for decoding. The memory system proactively loads context variables into buffer registers during cycles when they are not immediately required, so that when the arithmetic decoder needs them, they are already available. This preliminary action eliminates the two-cycle latency by ensuring context data is ready before the decode operation requires it.
Solution Approach 2:
The patent introduces buffer registers as an intermediary between the multi-port context memory and the arithmetic decoder. These buffer registers hold prefetched context variables and provide them to the decoder on demand. The intermediary buffer layer decouples the memory access timing from the decode operation timing, allowing the decoder to operate at full speed without being constrained by memory access latency.
2Productivity
If context variables are fetched sequentially from single-port memory, then device complexity is minimized, but productivity decreases due to wait states
Solution Approach 1:
The patent segments the context memory into multiple independent ports, allowing simultaneous access to different context variables. Instead of a single sequential access port, the memory is divided into multiple ports that can be accessed in parallel. This segmentation enables the system to fetch multiple context variables concurrently during the same time period, dramatically improving decode throughput without proportionally increasing overall system complexity.
Solution Approach 2:
The patent ensures continuous decoding operation by eliminating wait states through the multi-port memory architecture. While one port is being accessed, other ports can simultaneously prefetch the next required context variables. This continuous operation allows the arithmetic decoder to process binary values at every clock cycle without interruption, maintaining maximum productivity throughout the decoding process.
Data Source
AI summary
An apparatus includes a memory and a circuit. The memory may be configured to store a plurality of context variables. The circuit may be configured to (i) generate a select signal that identifies a prediction of a plurality of next states in each of a plurality of next cycles that follow a current cycle of an arithmetic decode of an input signal, (ii) generate a prefetch signal in the current cycle in response to the select signal, (iii) prefetch in parallel from the memory two or more of the context variables suitable to use in the next states in two or more of the next cycles based on the prefetch signal and (iv) generate an output signal by decoding the input signal based on the two or more of the context variables.


