International business machines corporation (20240289021). OPTIMIZING MEMORY MANAGEMENT USING MEMORY ACCESS HEATMAPS simplified abstract

OPTIMIZING MEMORY MANAGEMENT USING MEMORY ACCESS HEATMAPS

Organization Name

international business machines corporation

Inventor(s)

Daniel Waddington of Morgan Hill CA (US)

Saransh Gupta of San Jose CA (US)

OPTIMIZING MEMORY MANAGEMENT USING MEMORY ACCESS HEATMAPS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240289021 titled 'OPTIMIZING MEMORY MANAGEMENT USING MEMORY ACCESS HEATMAPS

Simplified Explanation: This patent application describes a method for optimizing data placement in a memory hierarchy by tracking memory accesses and generating a heatmap representing access frequency.

• Configuring a counter block with access frequency counters mapped into an application memory space.
• Configuring a counter map that associates memory regions with access frequency counters.
• Identifying memory accesses in specific memory regions and tracking them using access frequency counters.
• Generating a heatmap to visualize the frequency of memory accesses to different memory regions.
• The process is performed by hardware in the memory controller.

Key Features and Innovation:

• Configuring access frequency counters in a memory hierarchy.
• Associating memory regions with access frequency counters for tracking.
• Generating a heatmap to visualize memory access frequency.
• Hardware-based implementation in the memory controller.
• Efficient optimization of data placement in memory.

Potential Applications: This technology can be applied in:

• Data centers for optimizing memory usage.
• High-performance computing systems.
• Embedded systems for efficient memory management.
• Cloud computing environments for resource optimization.

Problems Solved:

• Inefficient data placement in memory hierarchies.
• Lack of visibility into memory access patterns.
• Difficulty in optimizing memory usage.
• Ineffective resource allocation in memory systems.

Benefits:

• Improved performance by optimizing data placement.
• Enhanced memory management efficiency.
• Better resource utilization in memory hierarchies.
• Increased visibility into memory access patterns.

Commercial Applications: Optimizing data placement in memory hierarchies can have significant commercial implications in industries such as:

• Data centers and cloud computing providers.
• High-performance computing and supercomputing facilities.
• Embedded systems and IoT devices.
• Software development companies focusing on memory optimization.

Prior Art: Readers interested in prior art related to this technology can explore research papers, patents, and publications in the field of memory management, data placement optimization, and memory access tracking.

Frequently Updated Research: Researchers in the field of memory management and optimization continuously explore new methods and technologies to enhance memory performance and efficiency. Stay updated on the latest research in memory hierarchy optimization for potential advancements in this technology.

Questions about Memory Hierarchy Optimization: 1. How does this technology improve memory access efficiency in data centers? 2. What are the potential implications of this innovation for embedded systems and IoT devices?

Original Abstract Submitted

embodiments of the present disclosure provide an enhanced system and methods for optimizing data placement in a memory hierarchy. a disclosed non-limiting computer-implemented method configures a counter block comprising access frequency counters mapped into an application memory space, and configures a counter map, where each entry in the counter map associates an application-defined memory region with the access frequency counters of the counter block. a memory controller identifies a memory access in a given application-defined memory region and compares an access address with a mask in the counter map to track the memory access. the memory controller generates a heatmap representing a frequency count of accesses to quantized memory using the access frequency counters. generating the heatmap is performed by memory controller hardware.