Memory Architecture Accessing/Allocation TRIZ Cases

An application directs a virtualization layer to identify duplicate memory ranges using specific identifiers and match tokens.

Direct mapping module links backing store logical addresses to non-volatile cache locations.

Classifies GPU wavefronts into subsets to minimize virtual address translation latency caused by high memory system pressure during SIMD processing.

A memory controller copies physical-logical address mapping data to single-level cell blocks during normal operation.

A graphics processing unit computes texture coordinate derivatives to estimate future memory addresses and prefetch texel data into local cache.

A cache controller manipulates mapping information to execute non-blocking memory operations without processor intervention.

A memory controller designates used storage locations for encryption while leaving empty blocks unencrypted.

A cache streaming apparatus manages machine learning data flow within a graphics processor hierarchy.

Control logic selects program algorithms from registers based on page addresses to execute efficient memory operations.

Segmenting memory into SLC and MLC zones with dynamic spare block compaction prevents data loss from faulty blocks.

Memory controller calculates reliability periods for flash memory blocks using deterioration degree and read frequency to schedule targeted refresh operations.

A spool cache management system estimates data block residency time to calculate admission metrics for efficient memory utilization.

A coordination unit manages data access between processor cores and global memory, eliminating access collisions to ensure predictable execution times.

Direct memory access controller automates data transfer via stream number tracking, reducing CPU occupation time during multi-channel processing.

A memory system translates logical addresses to physical locations using cumulative offset values stored in a key range table.

A tagless access buffer system predicts memory references to optimize data retrieval and reduce energy consumption in computing systems.

A memory controller manages flash memory sectors using group definition tables for independent wear leveling.

Resiliency groups segment storage blades to write data stripes across subsets, enabling dynamic reconfiguration as system geometry changes.

Virtual space management maps random write requests to sequential SMR zones, resolving the conflict between high track density and file system compatibility.

Partitioning bulk copy requests into sequential batches resolves out-of-order completion issues that confuse prefetchers and degrade performance.

A memory control method manages cell states to enable safe data writing in EEPROMs.

A storage controller uses a reordering buffer to track and rearrange out-of-order data sectors, resolving sequence disruption from processing delays.

A die assignment scheme distributes data across multiple memory dies to maintain high write and read speeds.

A network interface device injects data into a host cache using a directed acyclic graph structure.

A disk array control device detects discrete data to select optimal write methods and reduce processing commands.

Dynamic section transfer amounts adjust based on waiting source blocks to optimize throughput and extend flash memory life.

Segmenting data streams allows independent erase operations on SSD cache blocks, resolving storage inefficiencies caused by predefined portion constraints.

Persistent storage device queries logical-to-physical tables to determine allocation granularity mapping status.

Segmenting addresses into fast and slow categories allows the controller to batch writes, reducing programming latency in MLC NAND storage.

A storage control apparatus detects physical address jumps in write requests to manage cache allocation policies dynamically.

A cache spawns a castout command to preserve an invalid global indication while installing a shared line.

Locks specific storage areas and caches user data in memory to maintain consistency while improving response speed for write requests.

A computer program encrypts captured data before transmission to a remote server, ensuring the information never resides in local non-volatile memory.

A memory controller uses a map caching controller to allocate physical slots for map segments in volatile memory.

Solid state drive controller prioritizes host read operations over garbage collection program commands to reduce random read latency.

Test control circuit supplies ramp voltages to memory cells and outputs result information signals based on clock signals.

Dynamic range reallocation within a unified logical block address space expands metadata capacity without reducing usable object data storage.

An interface memory caches data between internal and external buses to lower total bus capacitance.

A memory system adjusts data unit sizes to optimize resource usage across namespaces.

Separating read-only and write-read caches in a memory subsystem reduces backing store requests and improves component endurance.

A shared memory manager divides memory into chunks and allocates them to distinct cache managers.

Unified address space links CPU and GPU via IOMMUv2 to reduce latency and power consumption.

A multi-bank memory apparatus uses interleaved operations across independent banks to achieve high throughput via a standard LPDDR bus.

Virtual block segmentation and check maps reduce mapping table access during garbage collection.

Integrating multi-accumulator MAC units within memory regions reuses weight values, reducing latency and power consumption from data transfers.

A memory protection circuit partitions vector operations into subvectors to optimize scanning.

Latching multi-bit data in page buffers allows programming each bit relative to previously stored values, eliminating sequential read-back verification steps.

Segmenting cache coherency into local and global fabrics reduces latency by suppressing unnecessary inter-node hops.

A garbage collection method selects source blocks and copies valid data to destination blocks while updating mapping tables.