Pipelining Concept for Low Power DES Implementation

Fpga Implementation of Des Using Pipelining Concept with Skew Core Key-scheduling

This paper presents a high-performance reconfigurable hardware implementation of the Data Encryption Standard (DES) algorithm. This is achieved by combining pipelining concept with novel skew core key scheduling method and compared with previous illustrated encryption algorithms. The DES design is implemented on Xilinx Spartan-3e Field Programming Gate Arrays (FPGA) technology. Final 16-stage p...

Implementation of a programmable neuron in CNTFET technology for low-power neural networks

Circuit-level implementation of a novel neuron has been discussed in this article. A low-power Activation Function (AF) circuit is introduced in this paper, which is then combined with a highly linear synapse circuit to form the neuron architecture. Designed in Carbon Nanotube Field-Effect Transistor (CNTFET) technology, the proposed structure consumes low power, which makes it suitable for the...

Low-Power Equalizer VLSI Implementation for xDSL

Euro DesignCon 2005 A Flexible and Adaptive Pipelining Concept for Low Latency Interconnects

This paper describes a semi-hierarchical approach applied to the layout of a challenging multiprocessor ASIC. The ASIC contains several hundred single bit processors on a single chip in a 130 nm technology. The chip is targeted at the massive parallel processing of simple tasks that occur in huge quantities, for example, during hardware emulation. The paper focuses on the complex interconnect n...

FPGA Based Low Power DES Algorithm Design and Implementation using HTML Technology

In this particular work, we have done power analysis of DES algorithm implemented on 28nm FPGA using HTML (H-HSUL, T-TTL, M-MOBILE_DDR, L-LVCMOS) technology. In this research, we have used high performance software Xilinx ISE where we have selected four different IO Standards i.e. MOBILE_DDR, HSUL_12, LVTTL and LVCMOS (LVCMOS_15, LVCMOS_18, LVCMOS_25 and LVCMOS_33). We have done power analysis ...