Memory Architecture Accessing/Allocation TRIZ Cases

A computing device stores a graph data store in persistent memory and uses volatile memory for iterator objects to access nodes and edges.

A memory controller manages non-volatile memory write operations using card-level power sources to ensure data persistence during unexpected power loss events.

Active/active NVM controllers distribute I/O processing across multiple processors, reducing access time while managing heat dissipation.

Parallel flash drives route data to available controllers while occupied ones perform wear leveling, bypassing delays to maintain throughput.

A hardware security module generates unique encryption keys and digital certificates to authenticate electronic chips.

A hybrid memory system segments storage into multi-level and single-level cell regions to store write attributes.

A memory controller segments data and map units across multiple dies using interleaving to optimize storage operations.

Atomic compare-and-swap operations manage free space in a shared container, eliminating lock contention and reducing memory allocation overhead.

Hypervisor profiles application phases to remove unused memory regions and preload anticipated data, reducing virtual memory swap overhead.

Merging the TLB and way table into a single structure eliminates redundant searches, reducing energy consumption while maintaining data access efficiency.

A measurement daemon translates virtual addresses for XCP calibration tools, resolving compatibility gaps with modern operating systems.

A multi-way cache uses a configurable second way to compare data from both ways for error signals.

A DRAM controller allocates address spaces with varying bit widths to volatile memories of different capacities.

A memory device synchronizes logical-to-physical maps using obfuscated mappings to protect data integrity.

Vectorized demotion instructions reduce inter-VM communication latency and energy consumption by eliminating coherence messages.

Segmenting memory address regions between processors eliminates shared buffer copying, reducing main CPU load and heat generation during high-speed tethering.

A storage controller routes write requests to mechanical or solid-state drives based on address translation needs.

Predicts media cache fill-up rates to trigger preemptive cleaning strategies.

Dynamic block assignment matches fast and slow flash memory regions to data and code workloads, resolving erase time variability across the device.

A device driver dynamically configures a storage controller cache by switching between write-back and write-through modes based on detected queue depth.

A read cache stores data to bypass memory cell access during target address queries.

A memory controller adjusts command timing differences based on stored power profiles to manage peak energy usage.

Segmenting IO cache into macroblocks enables targeted compression algorithms that resolve the trade-off between storage capacity and processing time.

A write blocking mechanism reserves storage capacity during spontaneous de-staging events.

A memory controller performs correlation operations on read requests across multiple dies via interleaving to boost data throughput.

A way prediction circuit generates candidate way signals to selectively activate cache drivers.

A processor tracks memory page access counts to set indicators when thresholds are exceeded.

Dynamic thread adjustment reduces processor load during concurrent database recovery.

A cache eviction mechanism selects lines with minimal bit differences to perform partial writes.

Local HMB log mirrors host buffer to maintain data accessibility during link inactivity, simplifying firmware logic and reducing host power consumption.

ML-based eviction monitoring detects timing channel attacks by analyzing TLB activity, reducing false positives while isolating affected processes.

Hilbert space-filling curves map block numbers to physical locations, balancing sequential read performance with parallelism limits.

Virtual partitions allow online database table reorganization with concurrent updates, avoiding system quiescing and reducing memory requirements.

A blind hypervisor uses a page ownership table to enforce exclusive memory access rights for guest processes.

A storage device constructs map tables using historical information from previously allocated blocks to accelerate initialization.

Relative addressing segments memory locations to reduce bus occupancy while maintaining DRAM compatibility.

A load address prediction engine uses path history to generate memory addresses for processor instructions.

A data-locking memory module encrypts mission-mode data using a dedicated cryptographic circuit and non-persistent key storage.

A memory allocator evacuates large unused objects from volatile to non-volatile storage using read-write protection.

Preprocessing units prepare cache memory before peak periods, resolving contradictions between hit rates and utilization efficiency.

Segmenting non-volatile memory into stationary and non-stationary regions balances wear levels while preserving data during power interruptions.

Memory controller detects read-write conditions to increase current levels, resetting bits and reducing write latency while maintaining data integrity.

A flash memory control chip stores a root table pointer in non-volatile storage to retrieve logical-to-physical address mapping data.

A computing device extends volatile memory using non-volatile swap storage to accelerate application launch times.

Configures flash memory policies using user identifiers to tailor error correction and wear-leveling parameters, resolving complexity in managing bad blocks.

A host memory buffer stores write data in system memory before programming multi-level cells.

A control unit determines garbage collection costs for memory blocks to optimize data transfer between storage regions.

A trained decoder leverages inter-cell interference to recover true bit values from densely packed NAND flash memory cells.

Integrated controller authenticates read requests to isolate sensitive data, resolving security complexity trade-offs.

A load buffer temporarily stores issued instructions when the queue fills, allowing continued processor dispatch.