A frontend cache system segments data files into chunks and stores only unique entries to optimize storage utilization.
Targeted notifications ensure data consistency without full-cache flushing, resolving performance penalties from traditional flush commands.
Pre-computing hash values for memory page mappings eliminates page table walks, reducing cache thrashing and processing latency in virtual environments.
Switching CPU page table structures isolates user space driver code from application memory regions, preventing improper device access and corruption.
A memory system combines volatile and non-volatile storage under a single controller to optimize data access.
Segmenting memory into OS and IO areas enables selective image data generation, reducing resumption time and power consumption during hibernation.
A distributed deduplication garbage collection process uses Bloom filters to identify live data segments across multiple computing devices.
A check buffer accumulates partial data locally to maintain pipeline throughput without waiting for memory transactions.
Dynamic threshold management reduces idle power waste by turning off clocks while preserving data through proactive copying.
Explicit dependency keys define instruction ordering constraints within the processor ISA to replace synchronization barriers.
A virtual shim layer intercepts kernel requests to user space, enforcing strict access controls through separate page tables and encrypted data regions.
Granular address allocation distributes conflict sets between near and far memory, preventing noisy neighbor bandwidth reduction in multi-tenant systems.
A virtual address control circuit manages logical storage regions to optimize physical address generation.
A hierarchical metadata structure manages address translation through tiered storage mechanisms.
A detachable memory device retrieves image restoration information to re-image hard disk drives.
A temporal ordering policy manages processor resource allocation during speculative execution using speculative-use indicators.
A storage accelerator controller maps addresses to cache or memory to serve preprocessed data directly.
A subroutine stack protection unit uses address registers to define hardware-protected regions within the stack memory.
A game device monitors memory usage and reproduces event scenes to allocate available memory areas efficiently.
A memory controller automatically creates fill-files by populating file allocation tables and root directories when the host system reads formatted partitions.
Pre-configured MPU, SMPU, and PPU structures restrict unauthorized access while minimizing bus latency.
A hybrid scheme dynamically selects between IPI and broadcast TLBI mechanisms to optimize shootdown performance.
A memory controller distributes read requests across multiple dies using dynamic interleaving to boost data transfer rates.
A memory controller sets variable latency for threads in a data queue to prevent bank conflicts.
A cache management module assigns scores to files based on access statistics.
A solid state drive retains previous data copies in lookup tables to create point-in-time snapshots without performance loss.
An information processing device retrieves additional data from a server to ensure complete transfer during media format conversion.
Controller manages data transfer to multiple nonvolatile memories in parallel using a temporary buffer for host write commands.
A two-level memory subsystem dynamically scales near memory bandwidth using a dedicated controller to manage data flow.
Uniform grid mapping aligns geographical proximity with processor communication paths, reducing data move costs while maintaining load balancing efficiency.
Unified memory controller links RDMA-SSD clusters with DRAM and MRAM caches to enable zero-copy network data transfers, reducing write latency.
A non-speculative cache memory system defers state updates until speculative requests commit.
A memory control device stores compression information in an additional data area alongside error correcting codes to manage readout operations efficiently.
A memory controller generates header copies to synchronize mapping information between logical and physical addresses.
Control logic skips unnecessary caching after normal reads, resolving the speed-reliability trade-off and accelerating data retrieval.
Pointer structures with checksums manage data branches in a log-structured file system, reducing write amplification and extending solid state storage life.
Segmenting cache lines by access frequency allows the controller to select replacement candidates from a limited set, reducing system overheads.
A single bus transaction conveys cache address and evicted line data to remote caches, reducing directory lookups from two to one.
Selection logic couples a memory array to either neural processing units or cache control logic, resolving resource utilization trade-offs.
Segmenting physical memory into dedicated zones prevents resource contention and reduces latency.
A distributed cache system manages data access using consistent hashing and a data processing layer service.
Storage device reduces performance overheads by computing parity for valid stripe units and migrating them to idle space instead of full garbage collection.
A Unified Write Filter redirects write operations to an overlay area in persistent memory.
A memory unit with a step cache and scratchpad filters subsequent references to reduce hardware complexity.
A random tag setting instruction assigns unpredictable values to memory address tags within a guard-tagged architecture.
Intercepting disk requests via a virtual controller caches frequent data in RAM, resolving the trade-off between storage capacity and access speed.
Internal processor calculates target physical addresses using stored offset information to overcome von Neumann bottleneck delays.
A cache coherent FPGA tracks dirty cache lines during virtual machine live migration, eliminating page faults and reducing bandwidth consumption.
Host device manages memory state transitions to execute patrol reads, resolving data retention reliability issues during power saving modes.
A storage block allocation method selects cylinder groups using counters to reserve contiguous data blocks for files.