Memory Architecture Accessing/Allocation TRIZ Cases

Split data across memory interfaces and selectively combine portions to raise retrieval speed without unnecessary precision loss.

When a shared-memory app moves to the background, active memory release and page-table updates free physical memory for reuse.

Predicting file expiration in LSM-Tree storage groups similar lifetimes in SSD blocks, cutting valid-page migration and Write Amplification.

Hierarchical caches and ML-selected fields cut memory and processor load while preserving accurate real-time streaming analytics.

Secure-world MMIO address mapping protects server-to-device channels from non-secure software while enabling confidential accelerator access.

A real-time manager prioritizes host commands and allocates controller resources so multi-host storage can meet real-time processing deadlines.

Joint hot and cold data migration cuts server memory expansion cost while easing module ASIC load and supporting more storage media.

Huge-page metadata is created first, then pages are refined by process memory size to cut page-frame overhead and reduce allocation waste.

By staggering starting word lines across chips, the controller cuts peak program power by up to 0.7 W without sacrificing throughput.

A temporary F2H region in RAM enables checkpointed H2F updates, cutting write overhead while protecting flash mapping after power loss.

Multiple short NIC event notifications are combined in a buffer and released together to better use host interface bandwidth.

A translated invalidation channel keeps host and backend caches synchronized when a distributed file system is exposed as a local device.

Successive background reads can shift flash memory thresholds; this case shows how read management preserves reliability and capacity.

Secret data is split, shuffled, and reversibly modified to block side-channel correlation during memory storage and communication.

A host-set power flag lets memory suspend or permit garbage collection based on battery and charging state to cut power use and slowdowns.

Read-location-based eviction identifies low-reusability streaming data without interface changes, improving cache memory utilization.

Separate host and controller ports let DIMM memory move data concurrently between volatile and nonvolatile devices while ready/busy signals manage timing.

A controller blocks shared memory access during OTP writes, then clears the write interface to protect immutable security data at lower cost.

Early suspend signals let a storage memory controller flush cache, shift data, and rebalance background work to cut power use and wear.

Hierarchical address mapping in a memory controller cuts translation overhead, stabilizes I/O latency, and preserves storage capacity.

A multi-stage butterfly network reorders lookup table data from registers to cut memory latency and ease routing congestion in DSPs.

Indirect requests are offloaded to an external computational storage device so parallel processing cuts response delays and improves resource use.

A dedicated update unit performs atomic GPU memory changes while cache read-count tracking improves shared-data access and eviction.

Address translation updates run in parallel with data transfer and writing, cutting delay for subsequent nonvolatile memory writes.

Host hotness data guides SSD cache eviction between SLC and QLC, keeping frequently accessed data fast while reducing write amplification.

Type-specific PEC tracking across SLC, TLC, and QLC blocks guides next-block writes to balance wear and preserve memory reliability.

Near-data processing engines placed between CPUs and storage cut data movement, ease processor load, and improve data center energy efficiency.

Buffered event log writes and indexed file chunks improve log density while avoiding read-before-write overhead and padding waste.

A memory firewall assigns executable and non-executable regions to block unauthenticated code during SoC boot and reset without slowing firmware.

Stored active-region indicators let a memory system process HPB reads after low-power entry without L2P table retransmission, cutting time and power.

Selective trim setting subsets based on retention time and temperature cut corrective read latency and power in memory systems.

TEE bits, keyID mapping, and CRC/KMAC checks let shared memory distinguish trusted commands and block unauthorized access.

Local read-only copies on virtual storage nodes cut network hops and latency, while write cache and persistent tiers preserve resilience.

A DRAM column-plane scheme stores metadata and ECC in selected column regions, preserving user data space without increasing tAA.

A GPU coprocessor adjusts kernel memory during execution to cut waste, reduce allocation overhead, and support more concurrent workgroups.

Precomputing cacheable AI requests during low processor use cuts peak-time wait times and turns idle compute into stored outputs.

Selectable trim sets let memory arrays tune programming and erase signals to balance speed, power, retention, and device life.

Dynamic memory partitioning shifts shared memory between dedicated and general space to cut die area and avoid underused client memory.

A dedicated signaling bus and in-place cache updates let accelerators notify processor cores with lower latency, less bandwidth use, and no cache pollution.

A secondary overlap buffer preserves halo data between tiled neural network passes, cutting redundant computation and memory bandwidth use.

Separate write cursors place sequential data across multiple dies and random data on fewer dies to cut fragmentation and speed reads.

A host-accessible random write area and write pointer enable byte-level writes in zoned nonvolatile memory with fewer command delays and safe flushing.

Maps processor physical addresses to remote virtual memory so extended memory can be accessed directly without swap disk overhead.

Bandwidth-aware queue bypass and configurable address conflict checks cut memory latency and idle time without sacrificing bandwidth efficiency.

Local data relocation inside a storage device bypasses the controller, preserving bandwidth while maintaining reliability and user-data throughput.

Page-location-based parameter prediction cuts NAND read scrub retries and time while preserving read voltage accuracy and data integrity.

By expanding the L2P buffer during random writes, the controller cuts flush conflicts, lowers latency, and improves memory response.

A hardware logic block uses page mapping and change-point tables to cut memory address conversion latency, power use, and throughput loss.

A memory apparatus reports pending internal maintenance work so the host can schedule it to reduce wear, limit interference, and preserve lifespan.

Pre-allocated cache-coherent memory lets servers boot workloads before local DDR training finishes, cutting reboot downtime.