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In-Memory Hardware-Software Co-design for Image Processing
A substantial part of high energy consumption (> 60%) and large latency (> 90%) of conventional von-Neumann architectures can be attributed to the unavoidable data movement between the processor and main memory (DRAM). This is perhaps the major limiting factor for big data and machine learning applications whose usage is permeating into practically...
Published: 5/22/2024   |   Inventor(s): Ayushi Dube, Ankit Wagle, Gian Singh, Sarma Vrudhula
Keywords(s): Algorithm Development, Computing Architecture, Imaging, Machine Learning, Performance Optimization, PS-Computing and Information Technology, Resource Management
Category(s): Computing & Information Technology, Imaging, Physical Science