Memory Architecture Accessing/Allocation TRIZ Cases

A cache-plus-external-memory decompression scheme supports large match offsets while limiting latency, throughput loss, and power use.

A separate accelerator memory offloads decompression and extracts only needed data, easing CPU memory bandwidth bottlenecks during reads.

Shared global base values cut delta size and metadata across memory blocks, improving compression efficiency with lower error risk.

Inspecting neural data distribution lets one configurable compressor infer data type and tune sparse compression with less hardware and latency.

A stream identity lets an SSD send data directly to an FPGA while hiding filesystem layout, reducing host CPU intervention and security exposure.

A configuration register lets the MMU allow or deny direct TLB entry updates, balancing translation efficiency, resource use, and control.

PUF keys are generated from non-volatile memory entropy, then frozen in unchangeable cells to avoid ReRAM drift and bit errors.

Soft-decision data is compressed and overwritten through separate read and write addressing to improve NAND flash read accuracy and memory lifespan.

Diagonal data striping across NAND page lines and planes limits corruption to one portion, enabling parity-based recovery after power loss or write faults.

A dedicated SoC compression block keeps spill data in local memory, cutting off-die DRAM access, latency, and power use.

Stream IDs group compressed SSD data by compression characteristics, cutting write amplification and improving garbage collection efficiency.

Code lengths are swapped between symbols to keep Huffman codes within a maximum limit while preserving perfect coding and reducing extra processing.

Layers POSIX and ZFS file system semantics over cloud object storage to preserve legacy app compatibility while adding elastic capacity.

Concurrent constant-block detection lets compression hardware skip or discard redundant output, cutting latency while preserving memory savings.

Control logic runs ECC scrubbing on selected memory blocks while other blocks continue functional transactions, improving reliability with less throughput loss.

Separate translation and invalidation buffering lets the MMU handle TLB hits and invalidations without stalling processor operation.

Extended host-controller signaling switches decoders and manages blocks, garbage collection, and power to cut read time and extend SSD life.

Periodic blocking link state requests let the PHY pause flit traffic for reset, low power, and partial-width tasks on serial differential links.

Compressed soft information cuts LDPC read-transfer overhead in MLC and QLC flash memory while preserving decoding capability and interface bandwidth.

Periodic blocking link state requests let a serial differential interconnect pause flits for PHY tasks like reset, low power, and partial width entry.

Fine-grained cacheline decompression inside the processor core cuts DRAM and interconnect bottlenecks while reducing data access latency.

Modulo hash addressing replaces trie traversal in TCAM LPM, enabling parallel prefix comparison with lower delay and better memory use.

Content-similarity hashing groups live data blocks for concurrent compression during garbage collection, improving storage use with lower compute cost.

Speculative decompress submission starts page decompression before destination allocation, cutting latency and improving accelerator utilization.

Combining duplicate-object removal with value-locality compression cuts memory space, metadata overhead, and access latency under dynamic changes.

Different time series data types are compressed and stored separately, improving storage efficiency and speeding time-based queries.

Zone-specific compression separates hot and cold SSD data to cut write amplification, reduce garbage collection, and improve storage efficiency.

Virtual TCAM modules use assigned address ranges and hash tables to fit uneven data sets without wasting physical memory locations.

A cloud interface layer preserves POSIX file hierarchies and memory-map consistency while reducing object storage latency for legacy apps.

Real-time log analysis and compression discard non-targeted data in RAM to prevent out-of-memory errors and reduce volatile memory cost.

A hash index and storage activity map let TCAM search only active memory banks, cutting resource use, energy draw, and heat buildup.

Fixed-logical sectors map variable-size compressed memory blocks with compact metadata, improving utilization and lowering address translation latency.

Precomputed prefix-length, logarithm frequency, and cumulative tables enable parallel Huffman coding with low memory use and high throughput.

A configuration register lets the MMU allow or deny direct TLB updates, balancing address translation speed, resource use, and control.

Physical memory addresses are compressed into smaller encoded values, shrinking DDR lookup tables while preserving full address coverage.

A POSIX file-system layer bridges legacy apps and cloud object storage, preserving low-latency access, scalability, and local key control.

Hardwired FPGA or ASIC pipelines accelerate genomic mapping, alignment, sorting, and variant calling while cutting compute cost and manual effort.

A DRAM-plus-SRAM buffer stages multi-stream write data by programming unit, enabling scalable NVM writes with lower cost and power.

Stream IDs map SSD data to the right compression or encryption path, avoiding unnecessary processing to reduce latency and power.

Adaptive radar compression uses range, Doppler, path loss, and collision probability to cut memory and processing load.

Direct byte access to decoded NAND latch data cuts controller RAM transfers, reducing storage latency and memory overhead.

Zone-specific SSD compression separates hot, normal, and cold data to cut write amplification, reduce garbage collection, and improve I/O latency.

Local fabric cache and sector-aligned memory cut programmable logic reconfiguration time by caching bitstreams near the fabric.

Continuous weighted pulse position modulation shortens large-data transfer time by converting analog input into memory access signals for MAC processing.

Neighboring-set dictionary selection raises cache-line compressibility and effective cache size without increasing latency or power.

By encoding data into threshold-based slices for selected storage units, this case improves integrity and security without full-copy redundancy.

Directly linking co-processors and I/O devices to the main memory bus bypasses I/O bus bottlenecks and raises data bandwidth.

Configurable address intervals let a cache access circuit switch between tag-based hits and direct mapped access to cut retrieval delays.

Periodic blocking link states let the PHY pause flit traffic for in-band reset, low-power entry, and partial-width operation on serial links.

Master-slave memory requests and dummy slave operations detect GPU instruction faults with low area overhead while preserving peak performance.

A TLB access filter counts evictions over time and restricts noisy functions, reducing PCIe traffic and protecting translation performance.

Threshold-based access switching lets multiple processing elements share data lines to hide off-chip latency and cut scratchpad memory use.

Cold and hot data migration offloads the module processor, expanding server memory capacity with lower delay and minimal ASIC redevelopment.

A DRAM poison table marks uncorrectable L2P mapping errors so memory systems avoid assertions, protect data, and recover in milliseconds.

A separate memory engine compresses anonymous pages and shifts data across storage layers to ease memory pressure and cut secondary storage reads.

By keeping the next flash sector erased in advance, new data can be written immediately without waiting for sector cleanup.

By storing packet headers in non-volatile memory and transmitting through an onboard interface, this case cuts latency and CPU overhead.

A storage controller filters and preprocesses data blocks before host transfer, cutting bandwidth use, transfer time, and resource load.

Using append-only writes across multiple Flash pages, this case preserves valid data during write failures and power loss while spreading erase cycles.

Compressed L2P table entries pack physical addresses into fewer DRAM bits, cutting indirection table space while preserving fast access.

A switch-based cache agent reallocates cache by latency and access patterns to ease FAM congestion and cut memory access delays.

A virtual intermediate zone inside slow memory stabilizes warm-page placement, cutting repeated migrations and computational overhead.

Remaining capacitor charge is checked after mandatory table backup so extra volatile data is saved only when PLP energy is sufficient.

A WOM-coded page update scheme writes data multiple times before erase, cutting erase cycles and improving memory cell reliability.

Multiple hash functions split cache tags across SRAM and DRAM, reducing tag bits, silicon cost, and cache access energy.

Contiguous memory slabs with uniform access permissions let higher-level SLAT entries skip lower-level lookups for faster VM memory access.

Sub-cacheline filtering and stride-based trigger timing improve pointer prefetch accuracy for irregular accesses while reducing cache pollution.

Replicated write logs across replica sets preserve cached storage I/O during host failures while keeping low-latency acknowledgments.

A multi-level SATC runtime translates addresses and manages cache concurrency to improve out-of-core I/O on NVMe-backed in-memory programs.

MMU checks thread-private page entries against per-thread address ranges to block cross-thread memory access and protect private data.

Reserved and unreserved SSD pages form multi-page translation units that cut DRAM needs while handling bad blocks and non-sequential writes.

A memory controller forces uncorrectable write errors to carry corruption status through reads, improving reliability without extra ECC fields.

A bitmap-mapped telemetry namespace lets SSDs store key log parameters for faster retrieval, lower overhead, and more reliable health monitoring.

Stored live data is paged back to the same virtual address, letting managed runtimes reuse non-position-independent code with less memory overhead.

Counting ready requests across memory ranks lets the controller pick the best target rank, cutting main memory latency and improving throughput.

Write-count tracking lets a memory controller rearrange only non-hot sub-regions, preserving continuous addresses while limiting flash wear.

Chunk grouping and address-based priority let a DMA controller shift overlapping memory data without corruption or extra bandwidth.

Speculative tag checks and object-granular key IDs enforce memory safety with lower metadata overhead and less access delay.

When security tags sit away from data blocks, selective metadata prefetching cuts latency, cache misses, and wasted power.

Monitored cache hit, miss, and eviction patterns identify non-temporal workloads so cache line tenure can be reduced to limit thrashing.

An access control device maps virtual IDs to block unauthorized DMA, letting VMs share NPUs and GPUs without breaking memory isolation.

Dual mapping of SoC memory into kernel and user space cuts packet processing delay while preserving stable peripheral access.

Computing trigger-address offsets and shifted distance parameters improves indirect prefetch accuracy, cuts cache misses, and avoids pipeline stalls.

Separate read-only input-matrix caching from read-write output caching to cut cache complexity, delay, and power in matrix computing.

Reconstructing the original memory image from change data enables delta updates despite unmanaged modifications, cutting bandwidth and storage use.

Real-time storage metrics trigger automatic logical pool replacement when latency or throughput drift from application SLA targets.

A temporary SLC block absorbs small sync-cache flushes until the SRAM write buffer fills, cutting write amplification and flash wear.

Critical neural network code and weights move on-chip with NPU-only read access, improving IP security and reducing memory bandwidth.

Multiple zone map tables cut search overhead in nonvolatile memory, improving write speed while supporting both sequential and random writes.

A real-time manager routes urgent host commands to the right physical function, improving multi-host storage responsiveness within time limits.

A bitmap maps application and protection data across memory blocks, cutting overhead and bandwidth cost without OS memory changes.

Separate queues and consecutive ready-to-transfer packets cut unmap command latency in memory systems while preserving command flow.

Distributed parity across ZNS SSD zones enables RAID-6 or RAID-DP style dual-failure protection while preserving capacity with one parity drive.

A dummy delay signal is triggered after extended power-off periods to protect memory reliability while avoiding unnecessary startup delay.

Early cache reads with blocking signals hide memory access delays and preserve data accuracy under address-dependent instructions.

By updating the host L2P mapping table and sending only invalidated regions, flash erase cuts UFS traffic, latency, and power use.

By overlapping page read-and-verify with host data transfer, the controller cuts write time while preserving nonvolatile memory data integrity.

A secure processor, CAPT, and security bus module block unauthorized memory transactions and monitor stack regions in multi-processor IoT devices.

A storage device refreshes data in cluster units to maintain reliability without processing entire logical blocks.

A storage system uses recover state I/O operations to manage data access during hardware failure recovery.

Segmenting valid data copying allows incremental mapping table updates, maintaining host command processing capability during garbage collection.

A shared memory system uses a determination circuit to compare pre-loaded access tokens with region-specific memory tokens.

Segmenting memory into wear-leveling units based on data types balances writing efficiency with uniform wear distribution across PRAM, MRAM, and FeRAM devices.

A cache manager maps keys to expected locations and walks collision chains using header signatures to locate data without global synchronization.

Flush request lock queues synchronize destage and commit operations across multi-node storage arrays without acquiring cache memory locks.

Selective physical area allocation reduces controller load by managing only required snapshot data instead of entire logical storage regions.

An IOMMU transmits guest physical addresses to I/O devices instead of host physical addresses.

NETMORY interconnect enables direct core-to-network data flow, eliminating BIOS and Operating System boot latency.

Unified process address space identifier enables memory management unit to share TLB entries across processes.

Hypervisor maps guest pages to a single host page and handles faults to transfer ownership for zeroing.

Pattern-aware sub-allocation units represent known data patterns with compact identifiers to reduce backend storage access overhead.

Selective page hashing calculates exclusive ownership to reduce metadata overhead and improve system performance.

A data writing method for flash memory selects a substitute block from a spare area to store new data directly.

A memory management system designates regions to permit scrubbing after boot begins.

A block management method configures logical blocks to store data in faster lower pages of multiple physical blocks.

Hierarchical memory pool segmentation manages varying request sizes to reduce input/output overhead during read/write operations on PCIe solid-state drives.

A storage management system reallocates data sets by converting spare blocks into usable areas for new content.

Cache structure pre-fetches image data before reprojection adjustments, reducing latency and power consumption while maintaining image stability.

A shared cache manager propagates invalidation signals to edge caches, eliminating synchronous API requests and reducing bandwidth usage.

A host device manages a volatile memory cache to accelerate data retrieval from nonvolatile storage.

A storage device prefetches data using meta keys in an address map to optimize logical block address translation.

Page table entries store migration pending indications by disabling write permissions, preventing process interruptions during memory relocation.

Interface controller buffers data rows to separate read and write phases, reducing bank inaccessibility time and latency.

A magnetic disk controller creates track groups straddling management regions to enable flexible band allocation across zone boundaries.

Segmenting mapping data into a dedicated non-volatile memory reduces read operations and prevents working memory overflow, maintaining high operating speed.

A memory controller logic decodes incoming host requests to execute time-critical commands using physical addresses.

Memory management system identifies target blocks with minimum valid pages and maximum invalid pages for efficient recycling.

Cache management software organizes memory sections by logical addresses to increase physical locality and data access efficiency.

A virtual memory engine maps continuous address ranges to non-continuous physical devices via a defined namespace.

Remote storage devices delete private cryptography keys upon tamper signals, preventing misappropriation during authentication.

A content firewall unit prevents writing secure data to non-secure memory addresses.

Segmenting memory resources into independent planes allows concurrent single-level and multi-level programming, reducing access latency during high utilization.

A memory controller adjusts cache line size based on host unified memory availability to optimize data caching.

Switching between full space and subspace DAT structures via a single control bit eliminates costly invalidate instructions during context changes.

A hybrid memory module uses a DRAM cache to buffer writes and extend nonvolatile storage endurance.

An internal controller predicts upcoming data access patterns based on neural network locality, reducing latency and maximizing bandwidth utilization.

Dynamic queue selection favors requests targeting common banks, resolving underutilized memory access bandwidth in multi-core systems.

An unmap filter manages logical-to-physical address mapping information using bitmap structures to track unmapped states without modifying existing data.

A unified miss handler manages requests from distributed local caches to merge smaller cache line sizes into wider ones.

A storage controller manages host-initiated garbage collection by copying valid data to input blocks with free pages during idle periods.

A two-level cache hierarchy stores pre-computed link feature vectors, reducing iteration time and improving scalability for large-scale entity resolution.

Ordered address translation tables store location data for adjacent entries to reduce integrated circuit area.

A PCIe switch module dynamically couples and routes lanes between computing devices and storage endpoints to enable flexible data transmission paths.

Consistency point objects track user writes in cache and persistent storage, resolving data loss risks during unexpected shutdowns.

A supervisory memory management unit translates physical addresses to storage addresses for secure data access.

Tracking data overwrites prioritizes high-write zones, reducing write amplification and improving memory reclaim efficiency in ZNS devices.

Consolidating operationally proximate read commands into expanded requests reduces die collisions and improves SSD throughput.