Memory Architecture Accessing/Allocation TRIZ Cases

A Context-Based Security System generates unique encryption keys from environmental parameters to secure data instances.

NAND controller writes temperature information to auxiliary bytes, reducing host burden and unnecessary refreshes.

An upsert token stores key-value updates in non-volatile memory.

Sequential detection of all logical pages at startup or threshold triggers identifies errors in long-unread data without affecting active read performance.

An overlap circuit merges activate and precharge operations within shared clock cycles to enhance memory device compatibility.

Segmented data silos across field devices eliminate centralized compression, preserving measurement precision while expanding storage capacity.

An SRAM buffer moves data between non-volatile memory and DRAM using reserved refresh cycles to enable synchronous bus access.

A processor control module extends word line signals to access multiple memory cells during a single activation period.

Transaction execution status logic detects active regions to reduce serialization overhead and eliminate deadlocks in multi-threaded environments.

Address reorder circuit encrypts internal addresses via unique identifiers and seed codes, preventing unauthorized data theft in external memory.

Segmenting non-volatile memory into SLC and MLC swap areas enables rapid data transfer during burst operations.

A use time managing circuit tracks accumulated operation time to generate activation signals and adjust internal parameters.

A virtual memory system compacts application data into a compressed freezer file to preserve process state.

A deduplication manager broadcasts fingerprints to peer storage devices for reference flag verification.

Hardware acceleration using a conversion look aside buffer reduces translation overhead by caching native instruction blocks for rapid retrieval.

A calculation apparatus rotates data between active and spare blocks to counter coupling effects that degrade flash memory reliability.

A disaggregated memory system uses context values to classify workloads and independently manage access logs for prefetch target selection.

A compressed logical-to-physical table reduces volatile memory usage by storing only sequential write entries in high-speed storage.

Control circuitry tracks operation counts to trigger independent remedial actions, extending lifespan without host intervention or throughput loss.

A content delivery network acts as a proxy and cache within a distributed file system to optimize data access paths.

Designating an in-core cache level for write-back and invalidation prevents redundant operations that interfere with other core execution speeds.

A host determines an access path for IO requests using virtual address mapping to deliver data directly to target controllers.

Hierarchical memory management units translate virtual addresses in stages, reducing page table sizes and cache misses.

An IOMMU prefetches virtual to physical address translations into its cache before DMA operations require them.

A memory broker allocates remote RDMA-accessible RAM to relational database engines when local main memory depletes.

Controller allocates logical addresses differently based on defect counts, avoiding collisions with bumps and suppressing performance deterioration.

A hybrid storage system uses autonomous address translation to eliminate host intervention during data access operations.

A storage controller merges old and new logical addresses into a single command to write data while invalidating previous entries.

Centralized tag comparison reduces DRAM read frequency and update overhead, shortening memory access latency in hybrid architectures.

A memory controller transmits map data to a host for direct physical address access.

Move specification block automates storage class memory clearing to resolve efficiency and complexity trade-offs.

A coherency controller manages divided L2 cache memories across processor cores to ensure data integrity during store requests.

A memory device refresh management section skips operations for unused row addresses to reduce power consumption.

A computing device divides executable images into chunks for dynamic loading into secure enclaves using hash tree verification.

A storage controller identifies full stripes to destage write data from its cache.

Storage directors access object storage subsystems in global memory to manage metadata locations across backing storage devices.

A host-side flash translation layer module performs RAID encoding using logical block address to physical block address binding information from storage devices.

Multi-level metadata cache system dynamically adjusts memory allocation based on performance parameters to optimize storage operations.

A flash memory controller copies data from frequently read blocks to a buffer storage area for faster access.

Translation circuitry updates lookaside buffers while instruction management circuitry ensures correct program order for external instructions.

A nonvolatile memory device implements a quick erase operation to set cells to a pseudo erase state, reducing overall erase time.

A dynamic garbage threshold adjustment system optimizes block storage capacity through automated parameter tuning.

A Java Card device manages volatile memory by dividing it into distinct portions for OS and JCVM stacks.

A memory controller manages a logical block address list and storage location information to preserve critical metadata during unexpected power loss events.

A storage controller manages log and data portions to selectively transfer valid entries based on usage frequency.

A translation lookaside buffer directory cache filters invalidation instructions by tracking mapping presence across processing elements.

A storage controller maps virtual streams onto physical streams based on write data lifetime to organize memory blocks.

Byte-addressable storage class memory reduces latency and power consumption by eliminating fixed block size processing overhead.

A parallel computer relocates job data by matching cache index levels between nodes to maintain memory access performance.