{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9852781","patent":{"patent_number":"US-9852781","title":"Dynamically allocable regions in non-volatile memories","assignee":null,"inventors":[],"filing_date":"2010-02-10T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["G11C","G11C","G11C","G11C"],"num_claims":28,"abstract":"An embodiment of a non-volatile memory device is proposed. Said memory device comprises a matrix of memory cells; each memory cell is individually programmable to at least a first logic level and individually erasable to a second logic level. The memory device further comprises partition means for logically subdividing the matrix into a plurality of subspaces; each subspace comprises at least one respective memory cell. The memory device further comprises selection means for selecting a subspace, operative means for performing an operation on all the memory cells of the selected subspace, and means for dynamically modifying the number of subspaces and/or the number of memory cells included in each subspace."},"analysis":{"summary":"The Dynamically Allocable Regions in Non-volatile Memories patent introduces a revolutionary approach to managing non-volatile memory (NVM) devices, fundamentally enhancing their efficiency, performance, and longevity. At its core, this innovation proposes a memory device featuring a matrix of individually programmable and erasable memory cells, which can be logically subdivided into a dynamic plurality of subspaces.\n\nThe primary problem this patent solves is the inherent inefficiency and rigidity of static memory allocation in traditional NVM architectures. Fixed-size memory blocks often lead to suboptimal utilization, fragmentation, increased write amplification, and accelerated wear-out. This limits performance, especially in dynamic workloads, and shortens the lifespan of expensive NVM components.\n\nThe key technical approach of this invention lies in its 'means for dynamically modifying the number of subspaces and/or the number of memory cells included in each subspace.' This capability allows the memory system to adapt its internal structure in real-time, creating memory regions precisely tailored to the immediate storage needs of an application. It includes 'partition means' to create these logical subdivisions, 'selection means' to target specific subspaces, and 'operative means' to perform operations efficiently within them.\n\nFrom a business value perspective, this technology offers significant advantages. It promises enhanced performance for applications demanding diverse I/O patterns, extended product lifecycles for NVM devices due to optimized wear leveling, and improved memory utilization, potentially reducing hardware costs and the need for over-provisioning. The market opportunity is vast, spanning data centers, edge computing, IoT devices, and high-performance consumer electronics, all of which rely heavily on efficient and durable non-volatile storage. This innovation positions itself as a critical enabler for next-generation intelligent storage systems, driving down operational expenses while boosting system capabilities.","layman_explanation":"### What Problem Does This Solve?\n\nImagine you run a massive warehouse, but all your storage shelves are fixed at one size – let's say, very large boxes. If a customer sends you a tiny envelope, you still have to put it in a huge box, wasting a lot of space. If another customer sends a really long, oddly shaped item, you might have to break it into pieces to fit it into multiple big boxes, making it harder to find later and potentially damaging the item. This is essentially the problem with traditional non-volatile memory (NVM), like the flash memory in your smartphone or solid-state drive (SSD).\n\nNVM devices typically operate with fixed, pre-defined blocks of memory. This static approach leads to several business inefficiencies:\n*   **Wasted Space:** Small data often occupies an entire large block, leading to underutilization.\n*   **Slower Operations:** For complex or varied data, the system spends extra time shuffling data between these fixed blocks, causing delays.\n*   **Reduced Lifespan:** Constantly writing and rewriting to fixed blocks can wear them out prematurely, leading to expensive replacements and data loss risk.\n\nExisting solutions often involve complex software workarounds or simply buying more memory than needed, both of which add cost and don't solve the core hardware rigidity.\n\n### How Does It Work?\n\nThe Dynamically Allocable Regions in Non-volatile Memories patent introduces a fundamentally smarter way for memory to manage itself. Think of it like a futuristic warehouse where the shelves aren't fixed. Instead, the warehouse manager (the memory controller) can instantly create shelves of *any size or shape* to perfectly fit whatever item comes in. \n\nHere’s the conceptual breakdown:\n1.  **Flexible Subdivisions:** The entire memory area (the 'matrix of memory cells') can be logically divided into smaller, customizable sections called 'subspaces.' These aren't physical walls; they're like invisible, intelligent boundaries.\n2.  **Dynamic Adaptation:** The true genius is that the system can dynamically change two things: the *number* of these subspaces and the *size* (number of memory cells) within each subspace. If you suddenly get a lot of tiny envelopes, the system creates many small compartments. If a very long item arrives, it creates one large, contiguous compartment for it.\n3.  **Smart Operations:** The system can then perform operations (like storing or retrieving data) specifically on these intelligently sized subspaces, rather than on rigid, oversized blocks.\n\nThis isn't just a software trick; it implies hardware-level support for this flexibility, making it incredibly efficient. It's like having a self-optimizing storage system that reconfigures itself in real-time based on your exact needs.\n\n### Why Does This Matter?\n\nThis innovation holds significant implications for businesses and investors:\n*   **Enhanced Performance:** For applications ranging from high-frequency trading to real-time analytics and virtualized environments, faster and more responsive memory translates directly into quicker insights and better service delivery. This can be a major competitive differentiator.\n*   **Cost Savings & ROI:** By extending the lifespan of NVM devices through more efficient 'wear leveling' (spreading out usage evenly) and reducing wasted capacity, businesses can significantly lower their hardware replacement costs and achieve a better return on their NVM investments. Less hardware also means less power consumption.\n*   **Strategic Advantage:** Companies that adopt this technology can build more resilient, agile, and high-performing IT infrastructures. This is crucial for staying competitive in industries heavily reliant on data, from cloud services to automotive and IoT.\n*   **Market Leadership:** NVM manufacturers or system integrators leveraging this patent can offer superior products, capturing market share and establishing themselves as innovators.\n\n### What's Next?\n\nThis technology paves the way for a new generation of 'intelligent' memory systems. We can expect to see it integrated into next-gen SSDs, enterprise storage arrays, and embedded systems for IoT devices, offering unprecedented adaptability. Its adoption will likely accelerate as data volumes continue to explode and the demand for real-time processing intensifies. For investors, this patent represents a foundational technology that could underpin significant advancements in data infrastructure, offering long-term growth potential in a critical sector.","technical_analysis":"The Dynamically Allocable Regions in Non-volatile Memories patent (US-9852781) outlines a sophisticated architectural advancement for non-volatile memory (NVM) devices, moving beyond the conventional static partitioning schemes that have historically constrained performance and endurance. This invention posits a fundamental shift towards a more fluid and adaptive memory management paradigm at the hardware level.\n\n**Technical Architecture:**\nAt the heart of this innovation is an NVM device comprising a matrix of memory cells, each capable of individual programming to a first logic level and erasing to a second logic level. The core architectural elements include: \n1.  **Partition Means:** This component is responsible for logically subdividing the entire memory cell matrix into a plurality of distinct subspaces. Unlike fixed blocks, these subspaces are conceptual constructs, not necessarily tied to physical boundaries, allowing for greater flexibility. Each subspace is defined to contain at least one respective memory cell.\n2.  **Selection Means:** This mechanism enables the memory controller or host system to identify and select a specific subspace for operations. This implies a robust addressing and mapping scheme that can quickly resolve logical subspace identifiers to their corresponding physical memory cell addresses.\n3.  **Operative Means:** Once a subspace is selected, this component performs the desired operation (e.g., read, write, erase) on all the memory cells encompassed within that selected subspace. The efficiency of this operation is critical, as it directly impacts I/O performance.\n4.  **Dynamic Modification Means:** This is the most innovative aspect. It provides the capability to dynamically alter two key parameters: the *number* of subspaces and the *number of memory cells included in each subspace*. This implies a real-time remapping and reconfiguration capability, allowing memory regions to grow, shrink, merge, or split based on demand.\n\n**Implementation Details:**\nImplementing this technology would require a highly intelligent and responsive memory controller. This controller would likely feature: \n*   **Dynamic Mapping Unit (DMU):** A hardware block, potentially implemented in an FPGA or ASIC, that maintains a constantly updated map of logical subspaces to physical memory cell addresses. This DMU would need to handle rapid updates from the dynamic modification means.\n*   **Workload Analyzer:** A module that monitors I/O requests and data patterns to predict optimal subspace configurations. For instance, a burst of small, random writes might trigger the creation of many small subspaces, while large sequential writes would prompt fewer, larger subspaces.\n*   **Wear-Leveling and Garbage Collection Integration:** These traditional NVM management functions would need to be tightly integrated with the dynamic allocation. Instead of operating on fixed blocks, wear leveling could target specific dynamically defined subspaces, leading to more granular and efficient wear distribution. Garbage collection could consolidate valid data from fragmented dynamic subspaces into newly formed, contiguous ones, minimizing write amplification.\n\n**Algorithm Specifics:**\nKey algorithms would include: \n*   **Subspace Allocation Algorithm:** Determines how to best subdivide the memory matrix based on incoming data characteristics (size, access pattern, endurance requirements). This might involve heuristics or machine learning to optimize for performance and longevity.\n*   **Subspace Deallocation/Reclamation:** Manages the release of subspaces and their cells, making them available for new allocations. This needs to be efficient to prevent fragmentation.\n*   **Subspace Resizing/Merging/Splitting:** Algorithms for dynamically adjusting subspace boundaries without significant performance penalties or data loss.\n\n**Integration Patterns:**\nThis technology could be integrated into SSD controllers, embedded systems, or directly within future NVM chips (e.g., as part of a persistent memory module). The closer the integration to the NVM cells, the lower the latency and higher the efficiency of dynamic reconfigurations.\n\n**Performance Characteristics:**\nThe expected performance gains include reduced I/O latency due to optimized data placement and fewer read-modify-write cycles, higher throughput for diverse workloads, and significantly improved NVM endurance by more effectively spreading wear across memory cells. The dynamic nature allows the system to avoid common NVM bottlenecks by adapting its physical organization to logical demands, leading to a more robust and responsive storage solution. It mitigates issues like internal fragmentation and write amplification inherent in static block-based NVMs.","business_analysis":"The Dynamically Allocable Regions in Non-volatile Memories patent (US-9852781) presents a compelling business proposition by addressing fundamental limitations in non-volatile memory (NVM) management, thereby unlocking significant market opportunities and competitive advantages across various industries.\n\n**Market Opportunity Size:**\nThe global NVM market is projected to reach hundreds of billions of dollars within the next decade, driven by exponential data growth, the proliferation of IoT, AI, and cloud computing. This patent directly targets the efficiency and longevity of these critical memory components. Any innovation that can extend NVM lifespan, improve performance, or reduce operational costs will find immense demand. Data centers, which are massive consumers of NVM, stand to gain significantly, as do manufacturers of consumer electronics (smartphones, laptops), automotive systems, and industrial IoT devices. The ability to optimize NVM at a fundamental level could capture a substantial share of the value chain in these sectors by offering superior products and services.\n\n**Competitive Advantages:**\nThis technology provides several key competitive advantages:\n1.  **Superior Performance and Efficiency:** By dynamically adjusting memory subspaces, the invention can reduce I/O latency and increase throughput for diverse workloads, offering a performance edge over competitors relying on static NVM architectures.\n2.  **Extended Product Lifespan:** Improved wear leveling and reduced write amplification mean NVM devices incorporating this patent will last longer, reducing total cost of ownership (TCO) for enterprise clients and enhancing perceived value for consumers.\n3.  **Adaptive Resource Utilization:** The dynamic nature allows for more efficient use of memory capacity, potentially reducing the need for over-provisioning and lowering hardware costs for system integrators and end-users.\n4.  **Innovation Leadership:** Companies adopting or licensing this patent can position themselves as leaders in advanced memory technology, attracting premium customers and talent.\n\n**Revenue Potential:**\nRevenue generation could stem from several avenues:\n*   **Licensing:** NVM manufacturers, SSD controller vendors, and SoC designers could license the patent for integration into their products.\n*   **Value-Added Products:** Companies could develop and sell NVM devices, controllers, or full storage systems that leverage this technology, commanding higher prices due to superior performance and endurance.\n*   **Service Offerings:** Cloud providers could offer 'intelligent NVM' tiers with guaranteed performance and longevity, enabled by this patent, creating new service revenue streams.\n\n**Business Models:**\nPotential business models include:\n*   **IP Licensing:** A pure-play IP company could license the patent to multiple hardware manufacturers.\n*   **Hardware Manufacturing:** A company could integrate the patent into its own line of SSDs or NVM modules.\n*   **System Integration:** Offering custom storage solutions for data centers or specialized computing environments that incorporate this dynamic NVM management.\n\n**Strategic Positioning:**\nThis innovation strategically positions its adopters at the forefront of 'intelligent storage' and 'software-defined memory' trends. It allows for differentiation in a crowded market by offering a solution that addresses core NVM pain points beyond just raw speed or capacity. It's a foundational technology that enables a more responsive, resilient, and cost-effective storage infrastructure, crucial for the next generation of computing.\n\n**ROI Projections:**\nFor enterprises, the ROI would be driven by:\n*   **Reduced TCO:** Longer NVM lifespan means fewer replacements and less maintenance.\n*   **Improved Application Performance:** Direct impact on business-critical applications, leading to higher productivity and better customer experience.\n*   **Optimized Resource Allocation:** Maximizing the value from existing NVM assets. For NVM manufacturers, the ROI would come from increased market share, higher margins on differentiated products, and strengthened brand reputation as an innovator.","faqs":[{"answer":"Dynamically Allocable Regions in Non-volatile Memories is a groundbreaking patent (US-9852781) that describes an advanced non-volatile memory (NVM) device. Unlike traditional NVMs with fixed memory blocks, this invention introduces a system where the memory matrix can be logically subdivided into flexible 'subspaces'.\n\nThe core innovation of Dynamically Allocable Regions in Non-volatile Memories lies in its ability to dynamically modify both the number of these subspaces and the number of memory cells included within each subspace. This means the memory device can intelligently adapt its internal organization in real-time to match varying data storage needs and operational demands.\n\nThis dynamic adaptability allows for more efficient memory utilization, improved performance, and extended device longevity by optimizing how data is stored and managed at a fundamental hardware level. It's a significant leap forward in creating more responsive and durable storage solutions.","question":"What is Dynamically Allocable Regions in Non-volatile Memories?"},{"answer":"The Dynamically Allocable Regions in Non-volatile Memories patent operates on several key principles to achieve its dynamic capabilities. First, it starts with a matrix of individual memory cells, each capable of being programmed and erased independently.\n\nSecond, it employs 'partition means' to logically subdivide this matrix into a plurality of subspaces. These subspaces are not fixed physical blocks but rather flexible, conceptual regions that can encompass one or more memory cells. Third, 'selection means' allows the system to target and select a specific subspace for an operation, and 'operative means' then performs the desired action (e.g., read, write, erase) on all cells within that selected subspace.\n\nFinally, and most crucially, the invention includes 'means for dynamically modifying' these subspaces. This enables the memory controller to change the number of subspaces and their respective sizes (the number of memory cells they contain) on the fly. This real-time reconfigurability allows the memory to adapt its internal structure to perfectly match the size and access patterns of the data being stored, optimizing efficiency and performance.","question":"How does Dynamically Allocable Regions in Non-volatile Memories work?"},{"answer":"Dynamically Allocable Regions in Non-volatile Memories solves critical problems inherent in traditional non-volatile memory (NVM) architectures, which typically rely on static, fixed-size memory blocks. These problems include:\n\n1.  **Inefficient Memory Utilization:** Fixed blocks often lead to wasted space (internal fragmentation) when data units are smaller than the allocated block size.\n2.  **Performance Bottlenecks:** Static allocation struggles to adapt to diverse and dynamic workloads. Small, random writes can lead to 'write amplification' (excessive data movement and writes) and increased latency, while large sequential writes may be fragmented across multiple blocks, reducing throughput.\n3.  **Reduced Device Endurance:** Write amplification and uneven wear distribution across fixed blocks accelerate the degradation of memory cells, shortening the lifespan of expensive NVM devices like SSDs.\n\nThe Dynamically Allocable Regions in Non-volatile Memories patent addresses these issues by providing a mechanism for memory to dynamically shape its storage regions, leading to optimized data placement, minimized write amplification, and more effective wear leveling, thus improving overall efficiency, performance, and longevity of NVM devices.","question":"What problem does Dynamically Allocable Regions in Non-volatile Memories solve?"},{"answer":"The patent US-9852781 for Dynamically Allocable Regions in Non-volatile Memories lists no specific inventors or assignee in the provided data. Typically, patent applications are filed by individuals (inventors) or assigned to companies or institutions (assignees) at the time of filing or grant. While the specific names are not provided here, the innovation represents a significant advancement in non-volatile memory technology.\n\nThe development of such a complex system usually involves a team of dedicated engineers, researchers, and memory architects who contribute their expertise in areas like memory cell design, controller logic, and firmware algorithms. The insights from such a team are crucial for conceiving and developing a system like Dynamically Allocable Regions in Non-volatile Memories, which fundamentally alters how memory resources are managed and optimized.\n\nTheir collective work has laid the foundation for more adaptive and efficient memory solutions that can meet the growing demands of modern computing.","question":"Who invented Dynamically Allocable Regions in Non-volatile Memories?"},{"answer":"The Dynamically Allocable Regions in Non-volatile Memories patent offers several significant benefits that enhance the performance and longevity of non-volatile memory (NVM) devices:\n\n1.  **Enhanced Efficiency:** By dynamically adjusting the size and number of memory subspaces, the technology ensures that memory capacity is utilized optimally, reducing wasted space from internal fragmentation.\n2.  **Improved Performance:** The ability to perform operations on precisely selected and sized subspaces minimizes overhead and write amplification, leading to lower I/O latency and higher throughput for diverse workloads. This translates to faster application response times.\n3.  **Extended Device Endurance:** By reducing unnecessary writes and enabling more granular and effective wear leveling, Dynamically Allocable Regions in Non-volatile Memories significantly prolongs the operational lifespan of NVM devices, reducing replacement costs and total cost of ownership.\n4.  **Greater Flexibility and Adaptability:** The memory can adapt its internal organization in real-time to match the specific needs of an application or workload, making it a more versatile and responsive storage resource for dynamic computing environments.","question":"What are the key benefits of Dynamically Allocable Regions in Non-volatile Memories?"},{"answer":"Dynamically Allocable Regions in Non-volatile Memories fundamentally differs from prior art in non-volatile memory (NVM) management by moving beyond static, fixed-block architectures to a dynamic, hardware-assisted allocation model.\n\nPrior art, such as Flash Translation Layers (FTLs), primarily works to abstract and optimize *around* the rigid physical structure of NVM. FTLs map logical addresses to fixed physical blocks, handle wear leveling by moving data between these fixed blocks, and perform garbage collection by erasing entire blocks. While effective, this approach is reactive and often leads to inefficiencies like write amplification and fragmentation due to the mismatch between fixed hardware units and variable data needs.\n\nIn contrast, Dynamically Allocable Regions in Non-volatile Memories integrates dynamic allocation capabilities directly into the NVM device itself. It allows the memory to *reconfigure its own internal structure* by dynamically modifying the number and size of logical subspaces. This enables operations to be performed on precisely sized regions, directly reducing write amplification, optimizing wear leveling at a finer granularity, and adapting to workloads proactively, leading to superior efficiency, performance, and endurance not achievable with prior art methods.","question":"How is Dynamically Allocable Regions in Non-volatile Memories different from prior art?"},{"answer":"The Dynamically Allocable Regions in Non-volatile Memories patent has the potential to significantly impact a wide range of industries that rely heavily on efficient and durable non-volatile memory (NVM):\n\n1.  **Cloud Computing and Data Centers:** Cloud providers can achieve substantial cost savings through extended NVM lifespan and improved utilization, while offering higher performance and more reliable storage services to their clients.\n2.  **Consumer Electronics:** Smartphones, laptops, and other portable devices can benefit from faster performance, smoother multitasking, and longer-lasting internal storage, enhancing the user experience.\n3.  **Edge Computing and IoT:** Resource-constrained devices at the network edge (e.g., smart sensors, industrial IoT, autonomous vehicles) require highly efficient and robust memory. This technology can provide adaptive storage, extending device lifespan and improving reliability in challenging environments.\n4.  **High-Performance Computing (HPC) and AI/ML:** Workloads demanding extremely low latency and high throughput, such as AI training and real-time analytics, can leverage dynamic memory allocation for optimized data access and accelerated computations.\n5.  **Enterprise Storage:** Businesses can deploy more resilient and cost-effective storage arrays with improved performance for critical applications and reduced total cost of ownership.\n\nEssentially, any sector where efficient, high-performance, and long-lasting non-volatile storage is crucial stands to gain from the adoption of Dynamically Allocable Regions in Non-volatile Memories.","question":"What industries will Dynamically Allocable Regions in Non-volatile Memories impact?"},{"answer":"The patent application for Dynamically Allocable Regions in Non-volatile Memories (US-9852781) was filed on **February 10, 2010**. This marks the official date when the inventors submitted their detailed description of the invention to the patent office, establishing their priority claim.\n\nFollowing a thorough examination process, the patent was subsequently granted and published on **December 26, 2017**. The publication date signifies when the patent document became publicly available, detailing the claims and specifications of the Dynamically Allocable Regions in Non-volatile Memories invention.\n\nThe period between the filing and publication dates reflects the time taken for the patent office to review the application, conduct prior art searches, and for the inventors to respond to any office actions or make necessary amendments. The grant of the patent on December 26, 2017, formally recognized the novelty and inventiveness of this technology.","question":"When was Dynamically Allocable Regions in Non-volatile Memories filed/granted?"},{"answer":"The commercial applications of Dynamically Allocable Regions in Non-volatile Memories are extensive, given its potential to fundamentally improve non-volatile memory (NVM) performance, efficiency, and endurance across various sectors:\n\n1.  **Solid-State Drives (SSDs):** Next-generation SSDs for consumer and enterprise markets can integrate this technology to offer superior speed, longer lifespan, and more consistent performance, commanding premium pricing and market share.\n2.  **Persistent Memory Modules:** For emerging persistent memory technologies, this patent enables more efficient wear leveling and dynamic allocation of persistent regions, crucial for in-memory databases, analytics, and HPC applications.\n3.  **Embedded Systems:** Manufacturers of embedded systems for automotive, industrial control, and medical devices can leverage this for more reliable and long-lasting storage in critical applications.\n4.  **Cloud Storage Solutions:** Cloud providers can use this innovation to build more cost-effective and high-performance storage tiers, reducing operational expenses and enhancing service level agreements for their customers.\n5.  **Mobile Devices:** Smartphones and tablets can benefit from faster app loading, smoother multitasking, and extended device longevity due to optimized internal storage management.\n\nUltimately, any product or service that relies on NVM can be enhanced by the principles of Dynamically Allocable Regions in Non-volatile Memories, leading to more competitive offerings and improved user experiences.","question":"What are the commercial applications of Dynamically Allocable Regions in Non-volatile Memories?"},{"answer":"The Dynamically Allocable Regions in Non-volatile Memories patent lays a robust foundation for numerous future developments in non-volatile memory (NVM) technology:\n\n1.  **AI/ML-Driven Allocation:** Future NVM controllers could integrate artificial intelligence and machine learning algorithms to autonomously predict workload patterns and dynamically optimize subspace configurations in real-time, pushing efficiency and performance to unprecedented levels.\n2.  **Unified Memory Architectures:** The principles of dynamic allocation could facilitate the creation of truly unified memory pools where volatile and non-volatile characteristics are managed dynamically, blurring the lines between traditional RAM and storage.\n3.  **Application-Aware Memory:** NVM devices might become 'application-aware,' allowing software to directly communicate its memory needs, enabling the memory to tailor its internal structure precisely for specific applications, leading to highly optimized performance profiles.\n4.  **Advanced Hybrid Memory Systems:** Dynamic allocation will be crucial for optimizing data placement and movement within complex hybrid memory systems that combine different NVM types and DRAM, ensuring the right data is in the right memory at the right time.\n5.  **Self-Healing and Predictive Maintenance:** With granular control and dynamic reconfigurability, NVM systems could become more adept at self-diagnosing and mitigating potential failures, leading to predictive maintenance capabilities and even greater reliability. These advancements will further solidify the impact of Dynamically Allocable Regions in Non-volatile Memories on future computing landscapes.","question":"What are the future developments expected for Dynamically Allocable Regions in Non-volatile Memories?"}],"topics":["Dynamically Allocable Regions in Non-volatile Memories","non-volatile memory","dynamic memory allocation","NVM optimization","memory management","technical","understanding","dynamically"],"tech_cluster":null},"seo":{"title":"Dynamically Allocable Regions in Non-volatile Memories - Patent US-9852781","description":"Revolutionize NVM with Dynamically Allocable Regions in Non-volatile Memories. This patent offers flexible memory management for improved performance, efficiency, and endurance.","keywords":["Dynamically Allocable Regions in Non-volatile Memories","non-volatile memory","dynamic memory allocation","NVM optimization","memory management","flash memory","data storage innovation","US-9852781 patent","memory cell partitioning","adaptive storage","NVM endurance","storage efficiency"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9852781","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9852781","citation_suggestion":"Patentable. \"Dynamically allocable regions in non-volatile memories\" (US-9852781). https://patentable.app/patents/US-9852781","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9852781","json":"https://patentable.app/api/llm-context/US-9852781","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T13:16:36.453Z"}