Cached host address translation with PRI page-miss handling cuts PCIe I/O traffic, avoids large memory pinning, and speeds DMA reads.
An MMU reformats 24-bit framebuffer pixels into 32-bit words, simplifying memory access while preserving compact storage and pixel integrity.
Global logical addressing and page-table mapping let processors share memory contexts with less switching overhead and better parallel execution.
A dedicated signaling bus and non-cached stores keep processor cores and accelerators coherent while cutting cache pollution, latency, and bandwidth use.
Tracks partial write booster flush progress, updates host memory tables, and resumes UFS buffer flushing without full re-synchronization.
Dynamic SLC and hybrid block selection keeps cache and primary partitions balanced during garbage collection, reducing slowdowns and timeouts.
A memory-package accelerator handles coarse sparse-to-dense processing locally, cutting PCIe data transfers, power use, and inference delay.
Parallel encoders and memory-address registers cut TDM idle time and lock overhead in image data encoding workflows.
Address translation across memory extension devices lets hosts share fragmented remote memory, improving VM resource matching and hardware use.
Reliability metrics trigger fast or conservative read trim values, cutting NAND read latency without raising error risk.
Directly adding demodulated E soft bits to form Z soft bits removes de-interleaving overhead, cutting memory use and processing latency.
A single shared MTT lets multiple network adapters access one memory region, cutting redundant table storage and simplifying registration.
A local staling parameter lets only the owner client replace stale cache lines, cutting main memory traffic and power use in shared caches.
Copy-back caching tracks rewrites per storage unit, helping MRAM main memory avoid excessive writes and extend usable lifespan.
A virtual block layout spreads parity across super memory blocks to cut SSD over-provisioning and recover data lost by word line leakage.
Hotness-ranked page moves let the OS or hypervisor direct a hardware data mover for secure, fast migration across memory tiers.
Dedicated acceleration circuitry updates mapping and valid data tables during write, erase, and garbage collection to cut processor load and software errors.
Dynamic use of other caches for decoded micro-ops eases front-end stalls, cuts repeat decoding, and improves processor energy efficiency.
Occupancy bits let a set-associative cache detect full or empty sets before way scans, cutting clock cycles, power use, and thrashing.
By predicting the next UI action from interface context, mobile apps can pre-cache needed data to cut transition latency and avoid wasteful fetching.
Proactive page table prefetching with dual TLBs and a burst buffer cuts translation latency so real-time DRAM access can meet strict deadlines.
Charging-state trigger tuning lets background tasks run more aggressively during battery charging, improving memory reliability and lifespan.
Linked-list block allocation packs usage into fewer memory banks so more banks can be powered off during deep sleep without losing retained data.
By measuring L2 cache thrashing, the prefetcher throttles requests to cut cache pollution, ease bandwidth pressure, and speed demand access.
Preallocated logical addresses let overlay code load into limited buffer memory efficiently, improving firmware execution in storage controllers.
Parameterized latency and throughput let cache forwarding avoid data hazards while meeting timing and pipeline performance requirements.
Configurable first and second address generators combine matrix and element addresses to expand AI chip computation versatility without added complexity.
By remapping shared requests to exclusive states and reinitializing shadow caches, this case cuts latency during dynamic L1 cache resizing.
A flag in higher-level L2P entries lets memory bypass terminal tables for sequential data, cutting read latency, NAND wear, and table space.
Geometric memory traversal lets LLM inference retain cross-session context with lower overhead, supporting mobile and offline reasoning.
Primary and secondary indexes let the memory controller locate target storage areas faster and improve retrieval of large data sets.
By suspending ready-to-transfer requests before a scheduled target operation, the controller preserves buffer space and avoids write slowdown from space cleanup.
Extended memory instructions enforce read/write order to prevent memory consistency faults, crashes, and incorrect execution in processors.
An ANN predicts chip temperature rise before app launch, enabling early processor and memory frequency reduction to avoid heat-related failures.
Adaptive SLC, MLC, TLC, and QLC switching balances storage capacity, write speed, and memory endurance as utilization changes.
A bypass path lets selected writes skip the higher cache pipeline, cutting stalls and latency while preserving cache coherence.
Stored row and bank information preserves the failed physical address through media management, enabling accurate memory row repair.
Bias mode switching lets a processor access memory independently, then restore host-controlled cache coherency with less recovery time.
Address-sorted GPU read and write batches cut cache and DRAM latency, reducing thread stalls without adding more hardware threads.
A storage queue merges new and cached data in a victim cache to cut read-modify-write cycles and reduce cache miss latency.
Distributed flow channels send error acknowledgements upstream so switches reroute around failed links and respond faster to congestion.
A paired page-table layout stores extra memory attributes in secondary entries, preserving ISA-compatible PTEs while improving address translation.
A host-managed prefetch queue moves data from non-volatile to volatile memory early, cutting access latency and improving responsiveness.
Base data is moved to a higher-reliability memory region before rework reflow heat and restored afterward to prevent flash data loss.
Dynamic CLOS mapping and cache-way monitoring improve multi-tenant cache isolation, utilization, latency, and jitter.
Dynamic memory-page pools let GPU buffers grow with shader write demand, improving utilization and reducing latency under parallel workloads.
Maps neural network data to fast or slow memory by usage count and timing, cutting transfer delays and improving compute efficiency.
Direct network-to-NVMe translation cuts protocol-layer latency, while NVM switches separate paths and simplify storage expansion.
Gating the memory clock tree during idle periods cuts power while keeping host synchronization and avoiding extra resynchronization cycles.
Dynamic swap pool sizing and page placement balance QoS, memory pressure, and I/O contention in virtual memory management.