The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents IC realization of a random forest (RF) machine learning classifier. Algorithm-architecture-circuit is co-optimized to minimize the energy-delay product (EDP). Deterministic subsampling (DSS) and balanced decision trees result in reduced interconnect complexity and avoid irregular memory accesses. Low-swing analog in-memory computations embedded in a standard 6T SRAM enable massively...
This paper presents an energy-efficient VLSI implementation of Sparse Distributed Memory (SDM). High throughput and energy-efficient Hamming distance-based address decoder (CM-DEC) is proposed by employing compute memory [1], where computation is deeply embedded into a memory (SRAM). Hierarchical binary decision (HBD) is also proposed to enhance area- and energy-efficiency of read operation by minimizing...
In this paper, an energy efficient, memory-intensive, and high throughput VLSI architecture is proposed for convolutional networks (C-Net) by employing compute memory (CM) [1], where computation is deeply embedded into the memory (SRAM). Behavioral models incorporating CM's circuit non-idealities and energy models in 45nm SOI CMOS are presented. System-level simulations using these models demonstrate...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.