18405933. SECTOR CACHE FOR COMPRESSION simplified abstract (Intel Corporation)

SECTOR CACHE FOR COMPRESSION

Organization Name

Intel Corporation

Inventor(s)

Abhishek R. Appu of El Dorado Hills CA (US)

Altug Koker of El Dorado Hills CA (US)

Joydeep Ray of Folsom CA (US)

David Puffer of Tempe AZ (US)

Prasoonkumar Surti of Folsom CA (US)

Lakshminarayanan Striramassarma of El Dorado Hills CA (US)

Vasanth Ranganathan of El Dorado Hills CA (US)

Kiran C. Veernapu of Bangalore (IN)

Balaji Vembu of Folsom CA (US)

Pattabhiraman K of Bangalore (IN)

SECTOR CACHE FOR COMPRESSION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18405933 titled 'SECTOR CACHE FOR COMPRESSION

Simplified Explanation

The patent application describes circuitry that compresses compute data at multiple cache line granularity before writing it to memory and decompresses it before providing it to a processing resource.

• The circuitry is coupled with cache memory and a memory interface.
• The processing resource performs general-purpose compute operations on the compute data associated with multiple cache lines.
• Compression of compute data happens before writing it to memory, while decompression occurs before providing it to the processing resource.

Key Features and Innovation

• Circuitry compresses compute data at cache line granularity.
• Processing resource performs general-purpose compute operations on compressed data.
• Efficient data handling with compression and decompression before memory read/write operations.

Potential Applications

This technology can be used in:

• High-performance computing systems
• Data centers
• Artificial intelligence and machine learning applications

Problems Solved

• Improves data handling efficiency
• Reduces memory bandwidth usage
• Enhances overall system performance

Benefits

• Faster data processing
• Reduced memory access times
• Improved system performance and efficiency

Commercial Applications

• This technology can be applied in high-performance computing systems, data centers, and AI applications to enhance processing speed and efficiency, leading to better performance and cost-effectiveness in these industries.

Questions about the Technology

How does the compression of compute data at cache line granularity improve system performance?

Compressing compute data at cache line granularity reduces memory bandwidth usage and speeds up data transfer, leading to improved overall system performance.

What are the potential drawbacks of decompressing data before providing it to the processing resource?

Decompressing data before providing it to the processing resource may introduce latency in data processing, depending on the complexity of the decompression algorithm used.

Original Abstract Submitted

One embodiment provides circuitry coupled with cache memory and a memory interface, the circuitry to compress compute data at multiple cache line granularity, and a processing resource coupled with the memory interface and the cache memory. The processing resource is configured to perform a general-purpose compute operation on compute data associated with multiple cache lines of the cache memory. The circuitry is configured to compress the compute data before a write of the compute data via the memory interface to the memory bus, in association with a read of the compute data associated with the multiple cache lines via the memory interface, decompress the compute data, and provide the decompressed compute data to the processing resource.