{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9852536","patent":{"patent_number":"US-9852536","title":"High order filtering in a graphics processing unit","assignee":null,"inventors":[],"filing_date":"2014-08-05T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["G06T","G06T","G06T","G06T","G06T","G06T","G06T"],"num_claims":22,"abstract":"This disclosure describes techniques for performing high order filtering in a graphics processing unit (GPU). In examples of the disclosure, high order filtering may be implemented on a modified texture engine of a GPU using a single shader instruction. The modified texture engine may be configured to fetch all source pixels needed for the high order filtering and blend them together with pre-loaded filtering weights."},"analysis":{"summary":"The patent titled **High Order Filtering in a Graphics Processing Unit** (US-9852536) introduces a revolutionary technique to significantly enhance the efficiency and quality of texture filtering within Graphics Processing Units (GPUs). This innovation directly tackles the long-standing challenge of performing complex, high-order filtering operations without incurring substantial performance penalties or requiring intricate shader programming.\n\nThe core innovation lies in its ability to implement high-order filtering on a **modified texture engine** of a GPU, crucially using a **single shader instruction**. This departs from traditional methods that often demand multiple instructions, extensive shader logic, and considerable memory bandwidth.\n\nSpecifically, the system works by configuring this modified texture engine to intelligently and efficiently fetch all source pixels required for the high-order filtering process. Once fetched, these pixels are blended together using pre-loaded filtering weights. This entire sequence—from instruction to pixel fetching and blending—is streamlined into a single, hardware-accelerated operation.\n\nThis technical approach offers substantial business value. It dramatically reduces the computational load on the GPU's programmable shader units, freeing up resources for other complex rendering tasks. This translates directly into improved frame rates, superior visual fidelity, and reduced development complexity for graphics programmers. For industries like gaming, virtual reality, augmented reality, and professional visualization, this means more immersive experiences, faster rendering times, and the ability to push graphical boundaries further than ever before.\n\nThe market opportunity for this technology is vast, given the pervasive need for high-performance graphics across virtually all digital platforms. By enabling more efficient and higher-quality rendering, this patent positions itself as a foundational technology for the next generation of visual computing, offering a clear competitive advantage to GPU manufacturers and software developers who adopt it.","layman_explanation":"In the world of digital visuals, whether it's the latest video game, a virtual reality experience, or a high-fidelity architectural rendering, achieving stunning clarity and realism is paramount. However, there's always a hidden challenge: making textures (the images applied to 3D objects) look smooth and detailed without making the computer's graphics processor (GPU) work so hard that everything slows down. This is where the patent for **High Order Filtering in a Graphics Processing Unit** offers a brilliant solution.\n\n### What Problem Does This Solve?\nThink of a digital image as being made up of tiny squares, or pixels. When these pixels are resized or displayed at an angle, they can look jagged or blurry – a phenomenon known as aliasing. To fix this, GPUs use 'filtering' to blend the colors of nearby pixels, making edges smoother and details clearer. The more sophisticated the filtering (what we call 'high order filtering'), the better the image looks. However, these advanced filtering techniques usually require the GPU to perform many complex calculations for each pixel, fetching lots of data and executing numerous instructions. This process is like asking a chef to individually chop, mix, and season every single ingredient for a complex meal from scratch, for every single plate. It's time-consuming and resource-intensive, often leading to slower performance (lower frame rates) or forcing developers to compromise on visual quality.\n\n### How Does It Work?\nThe innovation in High Order Filtering in a Graphics Processing Unit simplifies this complex process dramatically. Imagine our chef now has a 'smart kitchen assistant' (the modified texture engine). Instead of giving the chef many small instructions for each ingredient, you just tell the assistant, \"Prepare the gourmet meal!\" (a single shader instruction). This assistant is specially trained to know exactly which ingredients (source pixels) to grab, where to find them quickly, and how to blend them perfectly using pre-set recipes (pre-loaded filtering weights) that are already stored in its memory. The assistant does all the heavy lifting in one swift, efficient operation, freeing up the main chef (the GPU's shader core) to focus on other important parts of the meal.\n\nSo, instead of the GPU's main processing units getting bogged down with intricate filtering calculations, a dedicated, optimized part of the GPU handles it. This makes the entire process much faster and more efficient, without requiring developers to write complex, low-level code for every filtering effect.\n\n### Why Does This Matter?\nThis patent matters because it directly impacts the quality and performance of virtually all digital visual experiences. For businesses in the gaming industry, it means creating more immersive and realistic games with smoother gameplay, which translates into higher sales and player engagement. In virtual and augmented reality, where low latency and high visual fidelity are critical for preventing motion sickness and enhancing immersion, this technology could be a game-changer, making VR/AR experiences more comfortable and compelling. For architects, engineers, and designers, it means faster rendering of complex 3D models, enabling quicker design iterations and more accurate visualizations, ultimately speeding up project timelines and improving decision-making. The ability to achieve superior graphics with less computational cost provides a significant competitive advantage in any market driven by visual computing.\n\n### What's Next?\nThe implications of High Order Filtering in a Graphics Processing Unit are far-reaching. We can expect future GPUs to integrate similar specialized hardware, pushing the boundaries of what's possible in real-time graphics. This could lead to even more sophisticated visual effects becoming commonplace, potentially enabling new forms of interactive content and highly realistic simulations. For investors, this patent highlights a valuable underlying technology that could drive the next generation of GPU sales and software innovation. Companies that adopt or license this technology could gain a substantial lead in delivering cutting-edge visual experiences across a wide range of applications, from entertainment to professional tools.","technical_analysis":"The patent **High Order Filtering in a Graphics Processing Unit** (US-9852536) details a significant architectural enhancement for Graphics Processing Units (GPUs), specifically targeting the optimization of high-order texture filtering. This technical analysis delves into the proposed architecture, implementation details, algorithmic specifics, and performance implications.\n\n**Technical Architecture and Problem Statement:**\nTraditional GPU pipelines often execute texture filtering in several stages. A shader program typically issues texture sampling instructions, which are then handled by texture units. For high-order filters (e.g., cubic interpolation, advanced anisotropic filtering, or specialized anti-aliasing filters), multiple texel fetches and complex arithmetic blending operations are required. When these operations are implemented purely in shader code, they consume a considerable number of shader instructions, occupy valuable registers, and can lead to increased memory bandwidth usage due to potentially scattered memory accesses. This not only burdens the programmable shader core but also introduces latency and reduces overall GPU throughput.\n\nThe core problem this invention addresses is the inefficiency arising from executing complex, multi-sample, weighted-blending texture filters primarily through general-purpose shader units.\n\n**Implementation Details and Algorithm Specifics:**\nAt the heart of this innovation is a **modified texture engine**. This engine is no longer just a simple texture lookup and basic interpolation unit; it's enhanced with specialized logic to handle high-order filtering natively. The key operational flow is as follows:\n\n1.  **Single Shader Instruction Invocation:** A shader program issues a *single, specialized instruction* (e.g., a new opcode or an extended texture instruction) to invoke a high-order filter. This instruction would specify the texture coordinates and potentially the type of high-order filter to apply.\n2.  **Intelligent Source Pixel Determination and Fetching:** Upon receiving this instruction, the modified texture engine takes over. It autonomously determines all the necessary source pixels (texels) required by the specified high-order filter kernel. For a cubic filter, for example, this might involve fetching a 4x4 grid of texels around the target coordinate. The engine is configured to perform these fetches in an *optimized, coherent manner*, potentially leveraging specialized cache prefetching or burst access patterns to minimize latency and bandwidth consumption.\n3.  **Pre-loaded Filtering Weights:** The texture engine is designed to work with *pre-loaded filtering weights*. These weights, which define the contribution of each source pixel to the final blended output, can be stored in dedicated registers, lookup tables, or small on-chip memory within the texture unit. This avoids the need for the shader to compute or fetch these weights per-pixel, further reducing runtime overhead.\n4.  **Hardware-Accelerated Blending:** The fetched source pixels are then blended together using these pre-loaded weights. This blending logic is hardwired or microcoded within the texture engine, making it significantly faster and more power-efficient than executing the same arithmetic operations on general-purpose shader ALUs.\n\nThis effectively offloads the entire complex filtering computation from the programmable shader core to a dedicated, optimized hardware block, much like how tessellation units offload geometry generation.\n\n**Integration Patterns and Performance Characteristics:**\nIntegration would involve extending the GPU's instruction set architecture (ISA) to include the new high-order filtering instruction. Graphics APIs (like DirectX, Vulkan, or OpenGL) would expose this functionality through new shader functions or texture sampling modes.\n\nPerformance characteristics are expected to be superior due to:\n\n*   **Reduced Shader Cycles:** A single instruction replaces dozens, freeing up shader units for other tasks, increasing parallelism and overall GPU utilization.\n*   **Lower Memory Bandwidth:** Optimized hardware fetching of texel groups for filtering can be more efficient than scattered fetches, leading to better cache hit rates and reduced external memory traffic.\n*   **Predictable Latency:** Hardware execution ensures consistent and lower latency compared to variable shader execution times.\n*   **Power Efficiency:** Dedicated hardware can often perform specific tasks with greater power efficiency than general-purpose processors.\n\n**Code-Level Implications:**\nFor developers, the implications are profound. Instead of writing complex `for` loops or multiple `texture()` calls to implement a custom filter, they might simply use a new function like `textureHighOrder(sampler, coord, filter_type)`. This simplifies shader code, reduces potential bugs, and accelerates development cycles. It abstracts away the low-level details of high-order filtering, allowing developers to focus on creative aspects rather than optimization minutiae. This innovation represents a significant step towards more intelligent and specialized GPU hardware, enhancing the efficiency and quality of real-time graphics rendering.","business_analysis":"The patent **High Order Filtering in a Graphics Processing Unit** (US-9852536) presents a compelling business opportunity by addressing a critical pain point in the high-growth graphics processing market: the trade-off between visual fidelity and computational performance. This innovation holds the potential to significantly impact several industries, offering substantial competitive advantages and opening new revenue streams.\n\n**Market Opportunity Size:**\n The global GPU market is vast and rapidly expanding, driven by gaming, AI, data centers, professional visualization, and the burgeoning metaverse. The demand for higher fidelity graphics in all these sectors is insatiable. Any technology that can enhance visual quality and performance simultaneously, while reducing development complexity, addresses a market worth hundreds of billions of dollars. This patent specifically targets the 'rendering quality and efficiency' segment, which is a key differentiator for GPU manufacturers and a critical enabler for application developers.\n\n**Competitive Advantages:**\n For GPU manufacturers (e.g., NVIDIA, AMD, Intel), integrating this technology into their hardware would provide a significant competitive edge. Their GPUs could offer:\n\n1.  **Superior Performance-per-Watt:** By offloading complex filtering to dedicated hardware, GPUs can achieve higher effective performance for graphics-intensive tasks with potentially lower power consumption.\n2.  **Enhanced Visual Quality:** The ability to implement advanced high-order filters efficiently means delivering visually richer and more realistic experiences out-of-the-box.\n3.  **Simplified Developer Experience:** A single shader instruction for complex filtering dramatically simplifies shader programming, making their platforms more attractive to game developers, artists, and engineers.\n4.  **Future-Proofing:** This architectural shift lays the groundwork for even more advanced, hardware-accelerated rendering techniques.\n\nFor software developers and content creators, adopting GPUs with this technology would mean creating more visually stunning products with less effort, leading to faster time-to-market and higher quality outputs.\n\n**Revenue Potential and Business Models:**\n The revenue potential is primarily indirect for the patent holder (if not a GPU manufacturer) through licensing agreements with major GPU vendors. For GPU manufacturers, it translates into:\n\n*   **Increased Market Share:** Offering superior performance and features can capture a larger share of the discrete GPU market.\n*   **Premium Pricing:** Differentiated products can command higher average selling prices (ASPs).\n*   **Ecosystem Lock-in:** Developers creating content for GPUs with this feature will naturally favor those platforms, strengthening the ecosystem.\n\nNew business models could emerge around specialized SDKs or middleware that leverage this hardware capability for specific applications (e.g., a 'High-Order Filtering Toolkit' for game engines).\n\n**Strategic Positioning:**\n This patent positions itself as a foundational technology for next-generation GPU architectures. It's not merely an incremental improvement but a fundamental shift in how a core graphics operation is handled. Companies adopting this can strategically position themselves at the forefront of real-time graphics innovation, leading the charge in areas like photorealistic rendering, advanced scientific visualization, and highly immersive metaverse environments. It's a move towards more intelligent, specialized hardware that takes the burden off general-purpose compute, a trend seen across many high-performance computing domains.\n\n**ROI Projections:**\n While specific ROI depends on adoption and market penetration, the benefits are clear. For GPU manufacturers, investing in R&D and licensing this technology could lead to significant increases in sales volume and profit margins from improved product offerings. For software companies, the reduced development time, higher product quality, and improved user experience translate into better market reception, increased sales, and a stronger brand. The return on investment is not just in direct cost savings but in the intangible benefits of market leadership and innovation.","faqs":[{"answer":"**High Order Filtering in a Graphics Processing Unit** (US-9852536) is a patented technology designed to significantly improve the efficiency and quality of texture filtering within Graphics Processing Units (GPUs). Texture filtering is a crucial process in computer graphics that ensures textures, or images applied to 3D objects, appear smooth, detailed, and free from visual artifacts like pixelation or 'jaggies', especially when viewed at different angles, distances, or scales. 'High order' refers to more sophisticated and computationally intensive filtering techniques that produce superior visual results compared to basic methods.\n\nThis invention introduces a novel architectural approach where complex high-order filtering operations are no longer primarily handled by the GPU's general-purpose programmable shader units. Instead, it offloads these tasks to a specialized, modified texture engine within the GPU. The key innovation is that this entire complex process can be triggered and executed using a single shader instruction, dramatically simplifying the workload for developers and enhancing overall GPU performance.\n\nEssentially, the High Order Filtering in a Graphics Processing Unit patent describes a smarter, more efficient way for GPUs to make your digital visuals look incredibly sharp and realistic without slowing down the entire system. It's a foundational advancement for rendering high-quality graphics in real-time applications like video games, virtual reality, and professional visualization software. This technology aims to resolve the long-standing trade-off between visual fidelity and computational efficiency in graphics rendering.","keywords":["High Order Filtering in a Graphics Processing Unit definition","GPU texture filtering","graphics processing unit","patent US-9852536","real-time rendering quality"],"question":"What is High Order Filtering in a Graphics Processing Unit?"},{"answer":"The mechanism behind **High Order Filtering in a Graphics Processing Unit** involves a clever re-engineering of the GPU's texture processing pipeline. Traditionally, complex filtering required a series of instructions and calculations performed by the GPU's main programmable shader cores. This patent changes that by introducing a specialized, 'modified texture engine' within the GPU itself.\n\nHere's a step-by-step breakdown of how this innovation works:\n\n1.  **Single Shader Instruction**: A graphics program, running on the GPU's shader core, issues a single, high-level instruction. This instruction tells the GPU, \"Perform a high-order filter on this texture at these coordinates.\" This is a significant departure from prior methods that would require many individual instructions to achieve the same result.\n2.  **Intelligent Pixel Fetching**: Upon receiving this single instruction, the modified texture engine takes over. It autonomously determines all the necessary 'source pixels' (the surrounding texture data) required for the specific high-order filter being applied. The engine is optimized to fetch these pixels efficiently, potentially leveraging specialized hardware for faster memory access.\n3.  **Pre-loaded Filtering Weights**: The texture engine then uses 'pre-loaded filtering weights.' These weights are essentially a 'recipe' or mathematical coefficients that dictate how each fetched source pixel contributes to the final blended output. By having these weights pre-loaded or generated by hardware, the GPU avoids the need to compute or fetch them dynamically, further saving time and resources.\n4.  **Hardware-Accelerated Blending**: Finally, the fetched source pixels are blended together using these pre-loaded weights, all within the dedicated hardware of the modified texture engine. This entire process is executed as one highly efficient, hardware-accelerated operation, freeing up the general-purpose shader units for other tasks. This streamlined approach allows High Order Filtering in a Graphics Processing Unit to deliver superior visual quality with significantly less computational overhead.","keywords":["how High Order Filtering in a Graphics Processing Unit works","modified texture engine","single shader instruction","GPU architecture","pixel blending"],"question":"How does High Order Filtering in a Graphics Processing Unit work?"},{"answer":"**High Order Filtering in a Graphics Processing Unit** primarily solves the long-standing problem of balancing visual quality with computational performance in real-time graphics rendering. In essence, achieving highly detailed, smooth, and realistic textures (which requires 'high order filtering') has traditionally been very 'expensive' for Graphics Processing Units (GPUs).\n\nHere are the specific problems it addresses:\n\n1.  **Computational Bottleneck**: Advanced filtering techniques typically demand many instructions, complex mathematical operations, and numerous data fetches for each pixel. When these are executed by general-purpose shader units, they consume significant processing power, memory bandwidth, and time. This leads to reduced frame rates, known as a 'bottleneck', where the GPU spends too much effort on filtering instead of other critical rendering tasks.\n2.  **Programming Complexity**: Developers often have to write intricate and lengthy shader code to implement custom high-order filters. This increases development time, introduces potential for bugs, and makes the graphics pipeline harder to optimize and maintain. The complexity can hinder innovation and creative freedom.\n3.  **Quality vs. Performance Trade-off**: Historically, developers have had to make difficult choices: either sacrifice visual quality by using simpler, faster filtering methods, or accept lower frame rates to achieve stunning visuals. This patent aims to eliminate this trade-off.\n\nBy offloading these complex, multi-step operations to a specialized, hardware-accelerated texture engine, High Order Filtering in a Graphics Processing Unit allows GPUs to perform high-quality filtering with minimal impact on overall performance and significantly reduced programming effort. This liberates developers to create more immersive and visually rich experiences without the usual performance penalties.","keywords":["High Order Filtering in a Graphics Processing Unit problem solved","GPU performance bottleneck","graphics quality issues","shader complexity reduction","real-time rendering challenges"],"question":"What problem does High Order Filtering in a Graphics Processing Unit solve?"},{"answer":"The patent **High Order Filtering in a Graphics Processing Unit** (US-9852536) was filed on August 5, 2014, and published on December 26, 2017. While the specific inventors are not detailed in the provided data, such innovations typically emerge from the research and development teams of leading technology companies specializing in graphics processing. These companies invest heavily in advancing GPU architecture to meet the ever-increasing demands for visual fidelity and performance in computing.\n\nPatents like this are often the result of collaborative efforts by multiple engineers and researchers who contribute their expertise in areas such as GPU microarchitecture, shader design, texture processing algorithms, and digital signal processing. The development process involves extensive theoretical work, simulation, hardware design, and rigorous testing to ensure the proposed techniques are both effective and manufacturable.\n\nThe assignee, which is the entity or corporation that owns the patent rights, is also not provided in the prompt. However, given the nature of the invention, it would typically be a major GPU manufacturer or a technology company with a strong focus on graphics hardware and software. Such an entity would leverage this patent to enhance its product offerings, gain a competitive edge, and contribute to the broader advancement of the computer graphics industry. The innovation represents a significant contribution to the field of real-time graphics processing.","keywords":["High Order Filtering in a Graphics Processing Unit inventors","patent assignee","GPU innovation history","graphics patent ownership","R&D in computer graphics"],"question":"Who invented High Order Filtering in a Graphics Processing Unit?"},{"answer":"**High Order Filtering in a Graphics Processing Unit** offers a multitude of benefits that profoundly impact both the technical capabilities of GPUs and the end-user experience. These advantages make it a crucial innovation for the future of real-time graphics:\n\n1.  **Superior Visual Quality**: By enabling highly efficient execution of advanced (high-order) filtering techniques, the invention allows for significantly smoother edges, clearer textures, and overall more realistic and immersive graphics. This means less pixelation, fewer artifacts, and a more polished visual presentation in games, VR, and professional applications.\n2.  **Enhanced GPU Performance**: Offloading complex filtering calculations from the general-purpose shader units to a specialized hardware texture engine dramatically reduces the computational load. This frees up shader resources for other demanding tasks, leading to higher frame rates, smoother animations, and better overall system responsiveness.\n3.  **Simplified Development Workflow**: The ability to perform complex filtering with a single shader instruction drastically simplifies shader programming. Developers spend less time writing intricate low-level code for filtering, reducing development cycles, minimizing potential for bugs, and allowing them to focus more on creative design and artistic expression.\n4.  **Optimized Resource Utilization**: The hardware-accelerated approach is typically more efficient in terms of memory bandwidth and power consumption compared to software-based implementations. This leads to cooler, more energy-efficient GPUs and better utilization of precious memory resources.\n\nIn essence, this patent delivers a win-win scenario: higher visual quality is achieved with greater efficiency and less development effort. These benefits position High Order Filtering in a Graphics Processing Unit as a foundational technology for next-generation graphics, driving innovation across various visual computing sectors.","keywords":["High Order Filtering in a Graphics Processing Unit benefits","GPU visual quality","graphics performance boost","developer efficiency","optimized GPU resources","realism in graphics"],"question":"What are the key benefits of High Order Filtering in a Graphics Processing Unit?"},{"answer":"**High Order Filtering in a Graphics Processing Unit** distinguishes itself significantly from prior art in its fundamental approach to handling complex texture filtering. Historically, advanced filtering techniques in GPUs were implemented primarily through two methods, each with inherent limitations:\n\n1.  **Shader-Based Filtering**: Prior art heavily relied on programmable shader units to perform high-order filtering. This involved shaders executing multiple instructions to fetch various texture samples, calculating interpolation weights, and then blending them. While flexible, this approach was computationally intensive, consuming many shader cycles, increasing memory bandwidth usage, and making shader code complex and difficult to optimize. This meant flexibility came at the cost of performance and developer effort.\n2.  **Limited Fixed-Function Hardware**: Existing fixed-function texture units in prior GPUs typically only supported simpler filtering methods like bilinear or trilinear interpolation. Extending these units for high-order filters was often deemed too complex or inflexible, pushing the burden back to the shaders.\n\nThis patent introduces a paradigm shift by moving the intelligence and execution of high-order filtering into a **modified texture engine** as a dedicated hardware function. The key differentiators are:\n\n*   **Single Instruction Execution**: Unlike the multiple instructions required by shader-based methods, this invention allows the entire high-order filtering process to be invoked by a *single shader instruction*. This drastically reduces shader workload and simplifies programming.\n*   **Hardware-Accelerated Pixel Management**: The modified texture engine autonomously handles the complex task of identifying, fetching, and managing all the necessary source pixels for the filter kernel. This is far more efficient than individual, shader-driven fetches, optimizing memory access and cache utilization.\n*   **Integrated Weight Blending**: The system uses pre-loaded or hardware-generated filtering weights and performs the blending calculation within the dedicated texture engine. Prior art often required shaders to compute or fetch these weights dynamically, adding overhead.\n\nIn essence, High Order Filtering in a Graphics Processing Unit represents a move from a software-heavy, general-purpose approach to a hardware-accelerated, specialized solution for high-order filtering. This allows for superior quality and performance without the traditional compromises, setting it apart as a significant advancement over previous methods.","keywords":["High Order Filtering in a Graphics Processing Unit vs prior art","GPU filtering innovation","shader vs hardware filtering","texture engine advancements","graphics rendering differentiation"],"question":"How is High Order Filtering in a Graphics Processing Unit different from prior art?"},{"answer":"**High Order Filtering in a Graphics Processing Unit** is poised to have a transformative impact across a wide array of industries that rely heavily on high-performance and high-quality real-time graphics. Its ability to deliver superior visual fidelity with enhanced efficiency makes it a foundational technology for future digital experiences.\n\nKey industries that will be significantly impacted include:\n\n1.  **Gaming and Entertainment**: This is perhaps the most obvious beneficiary. High-order filtering is crucial for hyper-realistic textures, smooth anti-aliasing, and overall visual immersion in video games. The patent will enable developers to create even more stunning and fluid game worlds, pushing the boundaries of realism and player engagement. It will allow for higher frame rates and richer graphics simultaneously, enhancing the gaming experience across PCs, consoles, and mobile platforms.\n2.  **Virtual Reality (VR) and Augmented Reality (AR)**: In VR/AR, visual quality and low latency are paramount for user comfort and immersion. High Order Filtering in a Graphics Processing Unit can deliver the sharp, artifact-free visuals necessary to make virtual environments feel truly real, reducing eye strain and increasing the sense of presence. This will accelerate the adoption and refinement of VR/AR technologies in various applications, from training simulations to entertainment.\n3.  **Professional Visualization and Design**: Sectors like architecture, engineering, product design, and scientific research rely on visualizing complex 3D models and data. This innovation will enable faster, more accurate, and higher-quality rendering of these models, speeding up design iterations, improving analysis, and facilitating better decision-making. It's critical for applications involving digital twins and intricate simulations.\n4.  **Film and Animation (Real-time Production)**: While final film rendering is often offline, real-time previewing, virtual production, and interactive toolsets in animation studios will benefit immensely from faster and higher-quality rendering capabilities. This can streamline workflows and empower artists with immediate visual feedback.\n5.  **Automotive (Autonomous Driving Simulation)**: High-fidelity simulation environments are crucial for training and testing autonomous vehicles. High Order Filtering in a Graphics Processing Unit can help create more realistic virtual worlds for these simulations, improving the accuracy and effectiveness of training modules.\n\nBy enhancing the core capabilities of GPUs, this patent serves as an enabler for innovation across these and other emerging fields that demand cutting-edge visual computing.","keywords":["High Order Filtering in a Graphics Processing Unit industry impact","gaming technology","VR/AR graphics","professional visualization","automotive simulation","real-time graphics applications"],"question":"What industries will High Order Filtering in a Graphics Processing Unit impact?"},{"answer":"The patent for **High Order Filtering in a Graphics Processing Unit** is identified by the number US-9852536. According to the official patent data:\n\n*   **Filing Date**: The patent application was originally filed on **August 5, 2014**. The filing date is significant as it establishes the priority date for the invention, meaning that the claims of this patent are considered against prior art existing before this date.\n*   **Publication Date**: The patent was subsequently published, and the official grant date for US-9852536 was **December 26, 2017**. The publication date marks when the patent's full details become publicly accessible, allowing others to understand the innovation and its scope.\n\nThese dates indicate that the underlying research and development for this technology likely began well before the filing date, a common practice in complex hardware and software innovations. The period between filing and grant allows for examination by patent offices, where the invention's novelty, non-obviousness, and utility are thoroughly assessed against existing technologies and prior art. The grant of the patent on December 26, 2017, signifies that the invention met these stringent criteria and was recognized as a unique and patentable advancement in the field of graphics processing. This timeline reflects a typical journey for significant technological patents in the semiconductor and computer graphics industries.","keywords":["High Order Filtering in a Graphics Processing Unit filing date","patent grant date","US-9852536 publication date","patent timeline","graphics technology patenting"],"question":"When was High Order Filtering in a Graphics Processing Unit filed/granted?"},{"answer":"The commercial applications of **High Order Filtering in a Graphics Processing Unit** are extensive and diverse, spanning any sector that benefits from enhanced real-time graphics performance and quality. This patent provides a foundational technology that can be integrated into various products and services to deliver superior visual experiences.\n\nKey commercial applications include:\n\n1.  **Consumer Electronics (Gaming PCs, Consoles, Mobile Devices)**: GPU manufacturers can integrate this technology into their next-generation graphics cards and integrated GPUs. This will enable gaming systems to deliver more realistic visuals at higher frame rates, providing a significant competitive advantage in the highly contested consumer market. Mobile devices could also benefit from high-quality graphics with reduced power consumption.\n2.  **Virtual and Augmented Reality Headsets**: Companies developing VR/AR hardware and software can leverage this innovation to create more immersive, comfortable, and visually compelling experiences. The enhanced filtering quality and efficiency are critical for reducing motion sickness and increasing the sense of presence in virtual environments, driving market adoption for enterprise training, entertainment, and communication.\n3.  **Professional Workstations and Software**: Developers of CAD/CAM software, architectural visualization tools, scientific simulation platforms, and medical imaging systems can integrate GPUs featuring this technology. This will lead to faster rendering of complex models, quicker design iterations, and more accurate visual analysis for engineers, architects, and researchers, ultimately improving productivity and decision-making.\n4.  **Cloud Gaming and Streaming Services**: Providers of cloud-based gaming and graphics streaming services can utilize GPUs with this technology in their data centers. This allows them to stream higher-quality graphics to users with lower latency, enhancing the remote gaming experience and expanding their subscriber base.\n5.  **Digital Content Creation Tools**: Software used by artists and animators for 3D modeling, texturing, and animation can gain significant performance boosts in their real-time viewports, accelerating the creative process and improving the quality of final assets.\n\nIn essence, High Order Filtering in a Graphics Processing Unit is a core enabling technology that boosts the capabilities of any product or service where visual quality and real-time performance are paramount, offering clear commercial advantages and fostering innovation.","keywords":["High Order Filtering in a Graphics Processing Unit commercial applications","gaming console graphics","VR/AR commercial use","professional software rendering","cloud gaming technology","digital content creation"],"question":"What are the commercial applications of High Order Filtering in a Graphics Processing Unit?"},{"answer":"The patent for **High Order Filtering in a Graphics Processing Unit** lays a strong foundation for a range of future developments in GPU architecture and graphics rendering. This innovation is not an endpoint but rather a catalyst for further advancements, particularly as the demand for increasingly realistic and efficient visuals continues to grow.\n\nExpected future developments include:\n\n1.  **Expansion to More Complex Filters**: The current innovation focuses on high-order filtering. Future iterations could extend this hardware acceleration to even more sophisticated and specialized filtering techniques, such as those used in advanced physically-based rendering, real-time denoising, or AI-driven upscaling algorithms. This would involve embedding even more complex mathematical functions directly into the texture engine.\n2.  **Adaptive Filtering**: Future developments might involve texture engines that can dynamically adjust filtering parameters based on real-time factors like camera distance, object importance, material properties, or even user gaze. This 'adaptive' filtering could optimize performance by applying the highest quality filters only where visually necessary, further enhancing efficiency without sacrificing perceived quality.\n3.  **Integration with AI/Machine Learning**: As GPUs increasingly incorporate AI accelerators, high-order filtering could become part of a larger, intelligent rendering pipeline. Machine learning models could determine optimal filtering strategies, and the hardware-accelerated filtering could then execute these strategies with maximum efficiency. This could lead to 'smart' texture units capable of learning and adapting.\n4.  **Programmable Texture Units**: While the current patent emphasizes fixed-function acceleration, future developments might introduce a degree of programmability within the texture unit itself, allowing for custom high-order filters to be defined and executed directly in hardware, bridging the gap between fixed-function efficiency and shader flexibility.\n5.  **API and Toolchain Evolution**: Graphics APIs (like Vulkan, DirectX) and game engines will continue to evolve to expose these new hardware capabilities through more intuitive and powerful interfaces for developers. This will abstract away the underlying complexity, making advanced filtering more accessible to a broader range of creators.\n\nThese potential developments suggest a future where GPUs are even more specialized, intelligent, and capable of delivering unprecedented levels of visual fidelity and performance, driven by the foundational principles established by High Order Filtering in a Graphics Processing Unit.","keywords":["High Order Filtering in a Graphics Processing Unit future","GPU development roadmap","adaptive filtering","AI in graphics rendering","programmable texture units","next-gen graphics technology"],"question":"What are the future developments expected for High Order Filtering in a Graphics Processing Unit?"}],"topics":["High Order Filtering in a Graphics Processing Unit","GPU filtering","graphics processing unit","texture engine","shader instruction","evolution","graphics","processing","High Order Filtering in a Graphics Processing Unit definition","GPU texture filtering","how High Order Filtering in a Graphics Processing Unit works","modified texture engine"],"tech_cluster":null},"seo":{"title":"High Order Filtering in a Graphics Processing Unit - Patent US-9852536","description":"Discover how High Order Filtering in a Graphics Processing Unit boosts GPU performance and visual quality with a single shader instruction. Detailed analysis & benefits.","keywords":["High Order Filtering in a Graphics Processing Unit","GPU filtering","graphics processing unit","texture engine","shader instruction","real-time graphics","graphics performance","visual quality","patent US-9852536","computer graphics","rendering optimization","GPU architecture","advanced filtering"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9852536","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-9852536","citation_suggestion":"Patentable. \"High order filtering in a graphics processing unit\" (US-9852536). https://patentable.app/patents/US-9852536","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9852536","json":"https://patentable.app/api/llm-context/US-9852536","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T06:45:47.269Z"}