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.