17988626. MECHANISM TO IDENTIFY KEY SECTIONS OF IO PACKETS AND ITS USE FOR EFFICIENT IO CACHING simplified abstract (Intel Corporation)

From WikiPatents
Revision as of 07:28, 24 May 2024 by Wikipatents (talk | contribs) (Creating a new page)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

MECHANISM TO IDENTIFY KEY SECTIONS OF IO PACKETS AND ITS USE FOR EFFICIENT IO CACHING

Organization Name

Intel Corporation

Inventor(s)

George Leonard Tkachuk of Phoenix AZ (US)

Aneesh Aggarwal of Portland OR (US)

Niall D. Mcdonnell of Limerick (IE)

Youngsoo Choi of Alameda CA (US)

Chitra Natarajan of Queens Village NY (US)

Prasad Ghatigar of Shannon (IE)

Shrikant M. Shah of Chandler AZ (US)

MECHANISM TO IDENTIFY KEY SECTIONS OF IO PACKETS AND ITS USE FOR EFFICIENT IO CACHING - A simplified explanation of the abstract

This abstract first appeared for US patent application 17988626 titled 'MECHANISM TO IDENTIFY KEY SECTIONS OF IO PACKETS AND ITS USE FOR EFFICIENT IO CACHING

Simplified Explanation

The patent application describes mechanisms for identifying key sections of input-output (IO) packets to improve IO caching efficiency. Data received from an IO device is logically partitioned into cache lines, and embedded logic on the processor is used to identify important cache lines using a cache importance pattern. Important cache lines are written to a cache, while unimportant cache lines are written to memory or a higher-level cache.

  • Efficient IO caching mechanism based on cache importance patterns
  • Logical partitioning of data into cache lines for improved caching
  • Embedded logic on the processor to identify important cache lines
  • Differentiation between important and unimportant cache lines for optimized storage
  • Software programmability for cache importance patterns for various data types or transaction types

Potential Applications

The technology can be applied in various fields such as:

  • Data centers
  • Network infrastructure
  • High-performance computing
  • Cloud computing

Problems Solved

The technology addresses the following issues:

  • Inefficient IO caching
  • Limited cache storage capacity
  • Slow data retrieval from memory
  • Performance bottlenecks in data processing

Benefits

The benefits of this technology include:

  • Improved IO caching efficiency
  • Faster data access
  • Enhanced overall system performance
  • Reduction in latency

Potential Commercial Applications

The technology can be commercially applied in:

  • Server systems
  • Storage solutions
  • Networking equipment
  • Data processing units

Possible Prior Art

One possible prior art related to this technology is the use of cache importance patterns in optimizing cache storage in computer systems.

What are the specific cache importance patterns used in this technology?

The specific cache importance patterns used in this technology are designed to identify key sections of input-output packets for efficient caching.

How does the software programmability aspect of cache importance patterns work?

The software programmability aspect allows users to program cache importance patterns for different data types or transaction types, enabling customization for specific application requirements.


Original Abstract Submitted

Mechanisms to identify key sections of input-output (IO) packets and use for efficient IO caching and associated apparatus and methods. Data, such as packets, are received from an IO device coupled to an IO port on a processor including a cache domain including multiple caches, such as L1/L2 and L3 or Last Level Cache (LLC). The data are logically partitioned into cache lines and embedded logic on the processor is used to identify one or more important cache lines using a cache importance pattern. Cache lines that are identified as important are written to a cache or a first cache level, while unimportant cache lines are written to memory or a second cache level that is higher than the first cache level. Software running on one or more processor cores may be used to program cache importance patterns for one or more data types or transaction types.