Results 91 to 100 of about 855 (207)

Structural Testing of Modern Reconfigurable Chips

open access: yes, 2003
International audienceThis paper presents recent developments for testing SRAM-based FPGAs using a structural approach. The specific architecture of these new chips is first presented identifying the specific FPGA test problems as well as the FPGA test ...
Renovell, Michel
core  

AI-Enabled Hardware Security Approach for Aging Classification and Manufacturer Identification of SRAM PUFs

open access: yes
Semiconductor microelectronics integrated circuits (ICs) are increasingly integrated into modern life-critical applications, from intelligent infrastructure and consumer electronics to the Internet of Things (IoT) and advanced military and medical ...
Singh, Harshdeep
core  

A Simulation-Based Methodology for SRAM Defect Analysis and Diagnosis

open access: yes, 2008
We propose a methodology for systematically injecting defects into an SRAM and simulating the effects. The detectto-fault mapping tables can be constructed after the simulation.
Rei-fu Huang   +4 more
core  

A VLSI Design with Built-in SRAM Arrays for Implementing Full Search Block Matching Algorithm

open access: yes, 2012
[[abstract]]A conventional 2-dimensional (2-D) systolic processing element (PE) array of a chip used for implementing Full Search Block Matching Algorithm (FSBMA) needs a large number of input pads to read sequence image data from SRAM chips. In our work,
Wu, Tsung-Yi; Chen, Kuang-Yao; Huang, Shi-Yi; Li, Tai-Lun; Lin, How-Rern
core  

Design and Analysis of Robust Variability-Aware SRAM to Predict Optimum Access-Time to Achieve Yield Enhancement in Future Nano-Scaled CMOS. [PDF]

open access: yes, 2012
Design variability due to inter-die (D2D) and intra-die (WID) process variations has the potential to significantly reduce the maximum operating frequency and the effective yield of high-performance chips in future process technology generations.
Samandari-Rad, Jeren
core  

A compressed sensing neuromorphic processor for sparse signal classification. [PDF]

open access: yesFront Neurosci
Qian L   +7 more
europepmc   +1 more source

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