Memory Adressing/Allocation/Relocation TRIZ Cases

A processor front-end shadow cache fetches target instructions in a single cycle, eliminating stalls caused by unpredictable far branch paths.

A system uses object identifiers to access memory locations in an object-addressed memory system.

Dynamic array allocation resolves the contradiction between memory usage and measurement precision by storing only required significant digits.

Remaps disabled graphics processing elements to active units via virtual addressing, increasing manufacturing yield.

Patchable ROM lookup tables modify shader pipeline instructions, resolving the contradiction between processing speed and repair flexibility.

Assigns synchronized identification to store queue entries for concurrent retirement, reducing area and power costs by eliminating complex dependency vectors.

Dynamic bank address mapping resolves SIMT bank conflicts by adapting per-thread address mappings to varying bit widths.

A routing device determines stream credit values to select and remove low-credit data segments from full queues.

An embedded compute engine processes data locally to reduce latency and power consumption caused by moving information between storage and external processors.

A call transfer table in volatile memory maps ROM indices to dynamic addresses, enabling stable code execution across different hardware configurations.

A memory management unit stores missed virtual addresses in a queue buffer for parallel translation lookup.

A logic system allocates objects across memory channels based on interleave set information to optimize data placement.

Token-based coordination synchronizes mirrored storage processors, enabling active-active cache operations while minimizing message exchange overhead.

A dynamic threshold mechanism accelerates translated code regeneration for high-frequency instructions within an instruction processing apparatus.

Circuitry manages shared cache entries by tracking allocation sources and applying retention policies based on multi-core access patterns.

A guest memory bitmap tracks page states to guide host eviction, avoiding disk I/O delays during virtual machine memory management.

Multiplexing refresh requests on the shared cache pipeline eliminates dedicated circuitry, reducing device complexity while maintaining data integrity.

A multi-level cache hierarchy uses a selector array to track data presence within the tag structure.

Segmenting cache flushes by track count reduces host command delays while maintaining data integrity across multiple write passes.

Segmenting a physical mesh network into logical trees creates loop-free routing paths, preventing unpredictable behavior during dynamic component scaling.

A BIOS interface stores user-defined device names in non-volatile memory for system initialization.

A tree-LRU scheme selects high-priority cachelines for eviction, reducing rollback frequency and improving processing performance.

A storage media controller adjusts data strobe signal phase shifts to ensure synchronous reception with clock signals.

Satellite mesh networks cache data in orbit to reduce latency and mitigate single-point failures.

A cache coherence protocol introduces in-process and committed states to synchronize persistent memory updates.

Processor stores tracing data across multiple non-contiguous memory slices using directory tables.

A solid-state memory controller randomizes input data by shifting a multi-bit sequence value based on accumulated block access counts.

A memory pipeline controller adjusts instruction issuance rates to optimize non-volatile memory operations.

A graphics system coalesces Z data and color data into memory-aligned tile entries to optimize storage packing efficiency.

Segmenting address translation buffers eliminates switching overhead between operating systems while maintaining stable address maps.

An abort determination unit checks cache tags to resolve conflicts between read and write-back operations, reducing circuit size and power consumption.

A memory controller divides non-volatile memory pages into distinct areas to manage write operations and store invalidation marks.

Calculating redundancy via XOR on spatially separated data portions to recover uncorrectable errors from simultaneous physical failures.

Queued byte-addressed system enables direct local non-volatile memory access using RDMA Read and Write directives, eliminating block-based transfer overhead.

Address adjusting module segments packets and overwrites bank IDs to distribute data across multiple memory banks.

Segmented counters for same and different bank sets issue early reads based on tWR parameters to prevent bus conflicts.

Virtual machine monitor devirtualizes memory at runtime, eliminating unnecessary translation overhead when single operating systems run.

A memory management processor monitors processing threads to detect cache state disruptions and trigger automated recovery actions.

Interface die remaps address space to replace defective memory cells with spares, maintaining storage capacity despite manufacturing yield losses.

Virtual machine memory page sharing identifies common content across instances using data tags and logical links.

A storage control system schedules recycle and host writes via a dedicated scheduler to optimize memory operations.

A storage system autonomously identifies unused units in thin provisioned data containers and deallocates them to reclaim space.

A bus system assigns addresses using a daisy-chained power supply line with integrated switching elements.

A data transfer device segments storage across multiple units to distribute data and manage invalid storage locations.

Repair probes replace incorrect code sections at runtime to defend against MMU attacks that reroute data fetches.

A memory access request buffer unit reorders incoming requests to minimize row opening operations in memory banks.

Segmenting extractors into distinct processes prevents cascading failures from corrupted data formats.

Segmented address format enables storage expansion while maintaining legacy application compatibility, resolving migration disruption.