A two-phase Global Persistent Flush protocol coordinates decentralized CXL cache and buffer flushing, with error reporting.
A translation extension unit caches client mappings, reducing MMU transactions and manual DRAM page-table walks after cache hits.
An iterative set-based process identifies subdirectories, then deletes directory trees in parallel without requiring deletion order.
NAND page-buffer latches generate transient PUF keys without dedicated SRAM or ring oscillators.
A controller tracks reset, start, and end command transmission with flag bits to detect incomplete memory command sets.
A storage data reorganizing unit converts source data for computing resources, reducing redundant access and power consumption.
A cache controller routes write misses to a parallel victim cache, reducing cycles and latency without waiting on the main cache.
A lean NAND read sequence removes column addressing, confirm commands, and dummy busy cycles to cut command latency.
An access timer compares actual and specified command timing, stores violations, and supports host detection of interface faults.
This case interrupts in-progress flash programming when it would delay a high-priority read, reducing storage latency.
This case uses CXL-attached memory and storage access queues to balance fast access with data preservation during power loss.
This case uses allocated host RAM to preserve storage context, reduce flash writes, and shorten re-initialization after power-off.
A caching agent applies coherency models to requested memory ranges, reducing constant overhead while preserving needed data consistency.
Automatic stream advancement reduces address-generation work and cache misses while dual head registers support varied DSP access patterns.
Weak and strong store paths let the MMU preserve cumulative ordering while processors continue other work during pending operations.
Application-specific cache scripts tune eviction and prefetching across DRAM and NAND for more efficient data access.
A buffer manager queues commands during data preservation to reduce processing delays.
Configurable grouping and address rules support varied data sizes, reducing separate chip designs and development time.
This model management platform combines RAG, validation, distillation, and adversarial training to improve AI reliability and security.
Signature checks secure external firmware modules before loading.
Split address control reduces SSD memory overhead and improves I/O handling.
An SDK lets applications control loading, eviction, and prefetching, improving cache efficiency and DRAM use across tiered storage.
This case delays or pauses memory reclaim during application entry, preserving processor capacity while maintaining memory availability.
This case uses valid-bit tracking across page versions to retrieve requested cache lines during erase operations.
Segmented cache storage retains evicted data, services write misses, and improves cache transaction efficiency.
Near-memory compression keeps zswap data in a buffer, reducing transfer costs.
This processor integrates table writes into instruction execution, reducing memory-management overhead for complex look-up functions.
This case uses programmable neural hardware for workload-aware dispatch, scheduling, and cache prefetching in GPU pipelines.
Configuration files let SIMD datapaths and PCUs switch task contexts, improving flexibility and capacity use in complex dataflow graphs.
A controller merges unaligned page reads across memory planes, reducing command invocations and status checks for better I/O efficiency.
This case aligns virtual-to-physical address translation with storage page size, reducing redundant operations and resource use.
The SSD controller maps writes to zones with the fewest program/erase cycles, reducing host overhead and distributing wear.
Bad-block classification helps SSD controllers balance reserved capacity and random writes.
A buffer, decoder, and pooling circuit reduce embedding-table size, access time, and energy during neural-network lookups.
A channel selection device routes pseudo-channels to shared I/O and wider buses, reducing burst-related latency at lower DDR frequencies.
This case uses application memory profiles to allocate pages proactively, reducing runtime migration, delays, and power consumption.
Block-level LBA mapping lets non-volatile storage namespaces expand or shrink while reducing fragmentation and improving capacity use.
This case maps I/O requests to non-contiguous memory pools, preserving cache isolation while enabling fast CPU access to I/O data.
Pair-tuple physical zones stage random writes, then transfer data at a threshold to streamline zoned SSD management.
This case combines variable segmentation, chaff, encryption, and separate reconstruction records to resist unauthorized data recovery.
A user-space CO-PAGER framework assigns storage devices per application, balancing kernel stability with adaptable memory swapping.
A storage controller selects homomorphic or conventional encryption by command mode, reducing CPU transfers while protecting data.
This case coordinates container execution and write removal so SSD data is cleared without moving it between blocks.
This case uses memory-system MPI and predictive data movement to coordinate peripheral access and improve cache hit ratios.
Heap-based thresholds delay arena deallocation, relocating live objects to the managed heap before memory is reclaimed.
The host preloads address translations so persistent storage can execute I/O commands with direct memory access and less latency.
A traffic analyzer reads packet metadata to trigger DMA data movement and address translation updates across CXL-connected devices.
A two-level Redis cache uses DRAM for hot data and CXL memory for warm data, expanding capacity while maintaining low access latency.
A storage controller buffers write-pointer mismatches and synchronizes zoned data to reduce garbage collection and preserve capacity.
A controller balances bad blocks and free blocks during garbage collection to preserve performance and extend flash device life.
A resource manager adjusts cache operating states by distinguishing between flash memory and network latencies.
Grouping unaligned XTS cache data reduces padding volume and encryption operations, enabling complete memory flushing within limited power duration.
Pre-allocated superblocks eliminate flushing delays, maintaining data coherency after unexpected power loss.
A storage system caches control information in local memory to reduce access latency.
A file system filter driver intercepts host commands to determine associated data attributes and directs storage devices to cache related information.
Pre-aging flash memory via dummy cycles reduces programming time, eliminating the need for multiple parallel chips and lowering system cost.
Symmetrical codeword grouping across memory dice reduces thermal disturb effects while simplifying firmware complexity by limiting tracking offsets.
A memory controller generates heatmaps to track usage data across multiple accessing agents.
A host system detects Universal Flash Storage cards using standard Secure Digital interrogation signals to identify protocol capabilities.
Segmenting device interfaces into virtualized control and direct data planes balances security against access speed.
A memory controller categorizes host addresses into hot and cold tables to optimize data placement in nonvolatile storage.
Seed-based address layout varying process selects physical memory locations for software code and data across IoT devices.
A cryptographic system derives unique message keys from a shared secret to encrypt data segments with distinct validators.
A memory controller allocates common free blocks across regions to isolate write and copy operations.
Direct RDMA access via a shared memory aperture reduces network overhead and latency by bypassing multiple virtualization steps during inter-VM communication.
A translation lookaside buffer merges multiple page translations into single entries using spatial locality patterns.
Memory indirection operations resolve addresses concurrently to reduce serialization latency in data center memory systems.
A hybrid controller dynamically adapts SSD block pool sizes between SLC and multi-bit-per-cell modes.
A memory controller adjusts allocation parameters based on device temperature to manage available storage space efficiently.
A NAND flash memory system uses a dual buffer to write data simultaneously to two districts via a single command.
A DDMA controller segregates data tags into lists based on descriptor thresholds to enable out-of-order processing of typical commands.
A memory controller generates mirror information to enable dynamic mirroring operations within a semiconductor system.
Segmented cache line transfers reduce page fault latency and software overhead while maintaining data consistency through hardware automation.
A memory controller assigns logical addresses to multiple cores using a bitmap storage system for balanced workload distribution.
A controller coordinates data transfer between volatile DRAM and non-volatile flash using a platform hub signal to prevent data loss during power interruptions.
Partitioned emulated EEE memory distributes high dynamic records to specific nonvolatile sections, preventing premature wear on low activity areas.
A storage controller uses per-record access information to determine optimal data placement across multiple storage tiers.
A max heap structure organizes page counters to identify candidate blocks for erasure in flash memory subsystems.
A flash memory controller tracks program erase cycles to predict block wear levels.
A storage device control circuit monitors power circuits to generate retry requests for hardware initialization failures.
A memory controller allocates exclusive near memory regions to priority applications, ensuring dedicated resource access.
Dynamic VBN-DBN mapping assigns virtual block numbers to disk blocks via programmatic calculation rather than static tables.
A tag management system retrieves specific product data from a server using a single physical identifier.
A storage controller dynamically resizes the single-level cell area using reinforcement learning to optimize performance.
A memory control process switches between die-fast and channel-fast addressing schemes to optimize write throughput.
Firmware resolves out-of-resource conditions by redistributing PCI memory addresses from allocated to unallocated stacks, preventing system boot failures.
Intercepting container access commands consolidates private data into shared structures, eliminating redundant replication and lowering cloud storage costs.
Intelligent solid-state drives execute Map-Reduce tasks locally, reducing power consumption and processing time by eliminating data transfers to server CPUs.
Segmenting cache hints over a fast PCIe link while transferring data on a slower path eliminates transmission delays and improves I/O performance.
Segmenting heap space into local pools minimizes remote memory access latency in NUMA systems.
Controller routes write data to storage or random access memory based on size thresholds, resolving speed and capacity trade-offs.
Dedicated level-2 cache memory in virtual storage subsystems reduces response times by fetching transaction data over a communication path.
A cache management system calculates data scores from inquiry frequency to determine optimal storage locations across local and server caches.
A storage configuration manager dynamically assembles encrypted volumes from available partitions for containerized applications.
A detachable storage device uses a RAM cache to buffer data before writing to flash memory.
Skipping specific logic pages reduces horizontal, diagonal, and vertical floating gate coupling effects, lowering error rates and extending service life.
Dynamic globalization logic masks region identifiers in a memory protection unit, eliminating redundant descriptors and reducing device complexity.
Auto-commit memory manages background writes to ensure data persistence during power failures, resolving the contradiction between fast access and reliability.
Relative delta entries halve buffer space usage by tracking block-local offsets, resolving RAM constraints in flash storage systems.
A storage controller compares current erase counts against stored reference values to determine purge necessity.