GPU Memory Compression for Repeated-Byte Sequences and Cache Latency
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Solution Overview
Problem
Current graphics processing units (GPUs) face limitations in efficiently processing and accelerating graphics operations and machine-learning tasks due to bottlenecks in data compression and cache access latency, which affect overall performance and efficiency.
Innovation Solution
The implementation of dynamic byte size most frequent value compression techniques and write operation acceleration methods, including storing sequences of identical bytes as single bytes, to optimize data processing and reduce cache access latency, thereby enhancing GPU performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is stored and processed in standard byte format, then data processing is straightforward and simple, but data processing time is long and efficiency is low
Solution Approach 1:
The patent changes the parameter of data representation from standard byte format to variable-length encoding format. By encoding frequent byte values using fewer bits and less frequent byte values using more bits, the system reduces the average number of bits per byte sequence, thereby reducing data processing time and improving processing efficiency without sacrificing data integrity.
2Productivity
If compression techniques are implemented to reduce data size, then data processing efficiency improves, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing the frequency distribution of byte values in a lookup table before actual data compression. This pre-computed frequency information is used during compression to determine the optimal bit allocation for each byte value, eliminating the need for complex real-time frequency analysis and simplifying the compression process while maintaining high efficiency.
3Speed
If cache access latency is reduced through optimization, then overall GPU performance improves, but implementation complexity increases
Solution Approach 1:
The patent segments the cache system into multiple ways (e.g., 4-way set associative cache) where each way stores a portion of the cached data. This segmentation allows parallel access to different cache ways, reducing cache access latency by enabling simultaneous retrieval of data from multiple locations. The segmentation strategy balances between reducing access time and managing cache complexity through organized data distribution across multiple segments.
Data Source
AI summary
Methods and apparatus relating to techniques for data compression. In an example, an apparatus comprises a processor receive a data compression instruction for a memory segment; and in response to the data compression instruction, compress a sequence of identical memory values in response to a determination that the sequence of identical memory values has a length which exceeds a threshold. Other embodiments are also disclosed and claimed.