Memory Architecture Accessing/Allocation TRIZ Cases

Host-controlled registers manage memory background operations, preventing data corruption from unexpected interruptions.

A memory control circuit unit configures a physical management unit to span varying numbers of physical regions in rewritable non-volatile memory modules.

Segmented computational memory banks merge processing units with storage to cut power consumption from data movement.

A cache management system configures a frontend data array portion to store cold cache data before backend slots are overwritten with hot data.

Non-volatile primary storage circuitry powers down unused regions, eliminating state restoration overhead and reducing overall system power consumption.

Processor re-allocates main memory areas by switching boot data configurations between standard and alternative operational modes.

A storage controller automates file key generation using classkeys and random numbers to handle cryptographic operations without processor intervention.

Baseboard management controller caches media sectors in host and client storage to reduce round trip delays during virtual media redirection.

Segmenting the L2P mapping table allows concurrent data access during flush operations, reducing latency and improving system throughput.

Cube grouping eliminates data recovery delays in resistive memory by redirecting consecutive accesses across independent banks.

A zone persistence controller caches write data and stores it in parallel across multiple zones, resolving sequential write bottlenecks.

Grouping pages into chunks reduces storage waste and extends device lifetime.

A flash memory controller adjusts garbage collection using multiple threshold values based on spare block counts.

Garbage collector creates relocation information gaps to compact unpinned objects while preserving pinned object positions.

Forward and backward mapping tables route writes to high-speed sections, resolving the contradiction between data consistency and write speed.

In-memory configuration state registers convert processor access operations to memory operations, reducing context switching overhead and chip area.

A memory sub-system detects forced unit access commands to identify metadata areas for targeted storage traffic management.

Dynamic buffer allocation resolves uneven data distribution bottlenecks, improving storage efficiency in communication terminals.

A storage system dynamically adjusts non-volatile memory user capacity based on resource usage rates.

DRAM buffer absorbs write bursts, mitigating flash latency and bandwidth limits.

A memory controller rearranges logical-to-physical page mapping during refresh operations to distribute data across different physical blocks.

A storage controller generates a detachable loading thread to prioritize metadata pages for active IO requests.

A prefetch apparatus tracks memory access patterns across regions to initiate page mode prefetching for adjacent new regions.

Shared magnetic memory accelerates initialization by storing parameters, reducing reconnection delays.

Localizing cache control information reduces shared memory access overhead and improves storage system performance.

Dynamic memory bank allocation and state switching reduce power consumption in processor systems.

Parallel translation engines resolve performance bottlenecks in nested virtualization by executing guest and host level translations concurrently.

Dynamic tensor tracking and passive CPU-GPU swapping optimize memory usage, enabling efficient training of larger neural networks.

Integrates database memory management with hypervisor allocation using a balloon driver to prevent page thrashing during runtime memory fluctuations.

Consolidating cache state into a flat map eliminates sequential searches, resolving latency bottlenecks while maintaining coherence.

A network interface controller defines direct cache access settings to copy specific packet portions into CPU memory.

A memory controller with nonvolatile cache memory accelerates data persistence by transferring updated data directly to the fast cache layer.

A computing device re-allocates high usage parity data across solid state drives to balance wear distribution.

A data access method segments key-index and index-value pairs across block storage and a key-value solid state drive to enable sequential writing.

Pseudo-banks emulate fast memory banks in a hierarchical assembly, resolving latency-capacity contradictions through pre-fetching and data prediction.

Segmenting access patterns into recent and frequent lists improves hit ratios without increasing memory complexity.

Non-owner nodes validate content using parallel address hints, eliminating remote procedure calls and reducing read I/O latency.

Segmented programming zones apply localized voltage and pulse settings to compensate for geometric variations, minimizing overprogramming.

A data migration system moves blocks between volatile and non-volatile memory based on usage frequency.

Distinct logical and physical address mappings resolve performance degradation from shared physical addresses across namespaces.

Hooking untrusted application crypto functions captures keys to recover files encrypted by ransomware.

A memory macro with programmable periphery circuitry executes manifest loop instructions to control data access directly within the array.

Interval tree tracks data locations across memory layers, eliminating sequential search delays in complex storage systems.

A cache management system adjusts higher level cache power states based on lower level utilization metrics.

Shared metadata storage resolves sub-OS page granularity interleaving bottlenecks while maintaining high bandwidth and zero additional latency.

A memory controller routes write commands to a secondary nonvolatile area when improper shutdown detection is active, enabling immediate command processing.

A hybrid cache method combines inclusive and exclusive strategies to optimize memory access patterns.