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Abstract: For the past decades, the density of DRAM has been remarkably increased by making access transistors and capacitors smaller in size per unit area. However, shrinking devices far beyond the ...
Abstract: 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 ...
Abstract: It is profoundly accepted that the main processing unit of any device capable of carrying out computations is the Central Processing Unit (CPU) and the one of the most fundamental and ...
Abstract: Currently, the power consumption is one of the major concerns in VLSI circuit design based on CMOS (Complementary Metal Oxide Semiconductor) and CNTFET (Carbon Nano Tube Field Effect ...
Abstract: The inevitable slowing of two-dimensional scaling is motivating efforts to continue scaling along a new physical axis: the 3 rd dimension. Here we report back-end-of-line (BEOL) integration ...
Abstract: In this paper, we propose the concept of compute memory, where computation is deeply embedded into the memory (SRAM). This deep embedding enables multi-row read access and analog signal ...
Abstract: In the current trend, deep neural network (DNN) models that use only one type of convolution filters (mostly 3×3 convolution) are widely adopted for the hardware implementation. However, ...
Abstract: Researchers stare at the design of low power devices as they are ruling the today's electronics industries. In VLSI circuits, power dissipation is a critical design parameter as it plays a ...
Abstract: Guessing Random Additive Noise Decoding (GRAND) is a recently proposed Maximum Likelihood (ML) decoding technique. Irrespective of the structure of the ...
Abstract: To achieve the goal of secure communication, cryptography is an essential operation. Many applications, including health-monitoring and biometric data based recognition system, need ...
Abstract: With the increasing complexity of IC products, large-scale designs must be efficiently partitioned into multiple blocks, tiles, or devices for concurrent backend place-and-route (P&R) ...
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