Memory Architecture Accessing/Allocation TRIZ Cases

A data processing apparatus handles snoop requests with forwarding indicators to enable direct data transfer between nodes.

Analyzing system manages information storage tables by mapping unit regions to physical basic regions and dividing them into uniform sub-regions.

A flash memory controller stores timestamps with data to identify physically damaged blocks accurately.

Memory allocation device selects optimal remote nodes based on latency and congestion to improve resource utilization in multi-processing systems.

Segmenting duplicate data via a fingerprint index reduces unnecessary SSD write cycles, extending device lifespan while maintaining high IOPS performance.

Periodically updating log likelihood ratio tables in a flash memory controller maintains low bit error rates as program-and-erase cycles increase.

A decoupled management engine unifies access to application configuration sets across embedded platforms.

Segmenting the texture cache into compressed and decompressed levels minimizes unnecessary decompression operations and lowers power consumption.

Wire format resources with cache keys and hint information facilitate data re-allocation across nodes, reducing computing overhead during fault recovery.

Segmented storage interface directs sequential writes to independent zones, eliminating large-scale erasure latency and reducing write amplification.

A cache unit maintains a dependency matrix to track translation engine assignments in virtual addressing systems.

A cache management method classifies workloads by architecture and level to configure priorities.

Expansion unit memory switching routes operation data between embedded storage and external cards via a dedicated CPU interface.

A multi-streaming memory system clusters logical block addresses using frequency, temporal locality, sequentiality, and congruency attributes.

A quality-aware cache controller manages partial read and write operations to minimize energy consumption in memory systems.

Cache controller uses history registers to selectively snoop other partitions on misses.

Offloading processing-intensive tasks from a flash memory controller to a host device reduces complexity while maintaining high storage density.

Offset tables and free space logs ensure power-fail write atomicity across any file size while maintaining performance.

A branch prediction unit performs weight product-sum operations across multiple cycles to predict instruction branches.

An inode flag marks objects for removal, allowing the system to bypass exclusive lock acquisition and reduce superfluous lock upgrades.

A dedicated cache flush engine coordinates asynchronous writeback and invalidation across multiple sockets.

Unified memory and storage tiering architecture manages data placement across host and array tiers, resolving inflexible storage location determination.

A buffer tracks speculative, validated, and cancelled cache line statuses to isolate transient execution states from persistent storage.

Consolidates infrequently accessed data from multiple active tables into a single archive structure, reducing network resource demands and backup times.

A memory control module adjusts logical-to-physical segment mappings to distribute data evenly across storage units.

A hardware bridge translates cache requests to activate programmable input output memory within a unified address space.

Stream layer converts active data into erasure-coded fragments across distributed nodes.

Caches write requests in the host memory buffer to suspend writes, allowing immediate execution of read requests and improving drive performance by 30%.

A local memory manager component optimizes data relocation within flash memory regions.

Segmenting critical state information into non-volatile memory reduces recovery time and prevents cascading failures while retaining essential logging data.

A metadata controller manages map tables to allocate address ranges across multiple nonvolatile memory systems.

Separating NAND flash onto a daughter-card improves thermal margins while an EEPROM tracks wear history for field replacement.

Pre-decompressing cached chunks eliminates inline processing overhead, boosting read throughput during active retrieval cycles.

Multi-target post-copy guest migration system coordinates isolated guest transfers across host nodes.

A die translation table maps logical addresses to physical dies, balancing workload across idle units to reduce latency and improve overall system performance.

A cache system performs parallel tag and data access using partial tag values to identify potential matches before full verification.

A weak page buffer stores data from partially written memory pages to stabilize voltage levels before read operations occur.

Segmenting the address mapping table into smaller units allows independent parity-based correction, reducing latency as storage capacity grows.

A configuration register enables processing cores to read and update core status for synchronized operations.

Multi-level caching segments memory into DRAM and PMEM tiers, resolving the speed-capacity trade-off by dynamically migrating pages based on access patterns.

Evaluates predicates against native columnar data to eliminate row stitching and decompression overhead, reducing computational costs.

Segmenting Number-Theoretic Transform stages into buffered operations reduces power consumption while maintaining processing speed.

A copy-on-write module redirects data to a secondary system when the primary drive fails.

Selective cache flushing reduces computational resource consumption while ensuring data availability for memory-centric operations.

Global lock managers coordinate inter-node cache access to pull or push data, reducing duplicate I/O requests and minimizing disk latency.

A semiconductor memory device uses line-type electrodes with protrusions to stack variable resistance layers and second electrodes vertically.

A dual controller storage system mirrors only changed metadata blocks between processors instead of entire cache pages.

Masking logic inside cache memory adjusts addresses via size signals, removing redundant logic from timing paths and reducing validation effort.