ImaGen: A General Framework for Generating Memory- and Power-Efficient Image Processing Accelerators
Nisarg Ujjainkar, Jingwen Leng, Yuhao Zhu
Abstract
Image processing algorithms are prime targets for hardware acceleration as they are commonly used in resource- and power-limited applications. Today's image processing accelerator designs make rigid assumptions about the algorithm structures and/or on-chip memory resources. As a result, they either have narrow applicability or result in inefficient designs.
Topics & Concepts
Computer scienceImage processingImage (mathematics)Prime (order theory)AccelerationHardware accelerationPower (physics)Resource (disambiguation)Parallel computingChipMemory managementComputer engineeringComputer hardwareEmbedded systemComputer architectureArtificial intelligenceField-programmable gate arrayMathematicsSemiconductor memoryCombinatoricsTelecommunicationsPhysicsClassical mechanicsComputer networkQuantum mechanicsCCD and CMOS Imaging SensorsParallel Computing and Optimization TechniquesEmbedded Systems Design Techniques