L. Shih

University of Houston - Clear Lake | UHCL · Program in Computer Engineering

In this paper, the localization of open metal contact for 90nm node SOC is reported based on Electron Beam Absorbed Current (EBAC) technique and scan diagnosis for the first time. According to the detected excess carbon, silicon and oxygen signals obtained from X-ray energy dispersive spectroscopy (EDX), the failure was deemed to be caused by the i...

In this paper, the localization of open metal contact for 90nm node SOC is reported based on Electron Beam Absorbed Current (EBAC) technique and scan diagnosis for the first time. According to the detected excess carbon, silicon and oxygen signals obtained from X-ray energy dispersive spectroscopy (EDX), the failure was deemed to be caused by the i...

Models based on Cellular Automata (CA) paradigm are inherently adaptable to distributed computing and provide opportunity to reach high efficiency when they are implemented on GPUs. Previous efforts have been devoted to accelerate seismic earthquake analysis applications on models based on the centered-difference finite difference (CDFD) paradigm....

CyberShake is a computational platform developed by the Southern California Earthquake Center (SCEC) that explicitly incorporates earthquake rupture time histories and deterministic wave propagation effects into seismic hazard calculations through the use of 3D waveform simulations. Using CyberShake, SCEC has created the first physics-based probabi...

Given a graph pair, an acyclic task data-flow graph (DFG) and a processor network topology graph with 2-way communication channels, the latency-adaptive A* parallel resource mapping produces an efficient task execution schedule that can also be used to quantify the quality of a parallel software/hardware match. The network latency adaptive parallel...

form only give. Due to the growing research in nano technology, the requirement of numerical tools becomes demanding for accurate and fast design. The shrinking electronic or optical devices have brought intense computational burden than ever for the accuracy-concerned refined computational meshes. Based on the above reason, high performance comput...

As future personal vehicles start enjoying the ability to fly, tackling safe transportation coordination can be a tremendous task, far beyond the current challenge on radar screen monitoring of the already saturated air traffic control. Our focus is on the distributed safe-distance coordination among a group of autonomous flying vehicle agents, whe...

To double the accuracy of ultrasound diagnosis and biopsy guidance, an efficient, integrated platform for image textural analysis and clustering of transrectal prostate ultrasound images into clusters potentially representing cancerous or normal tissue areas is presented. Preliminary image texture analysis has shown the potential for doubling diagn...

This Digital Signal Processing (DSP) study is aimed at real-time capture and analysis of pathological brain images to improve accuracy and efficiency. Simply analyzing cell density statistics and average cell nucleus diameters of a slide image is shown to be useful to determine the abnormality of brain sample. Numerous biopsy samples of various typ...

Summary form only given. This project proposes the use of Digital Signal Processing (DSP) for real-time capture and analysis of pathological slide images to improve accuracy and efficiency. Analyzing cell density statistics and average cell nuclei diameters of a slide image is useful to determine the abnormality of slide sample. Being tedious as it...

Image skeletonization promises to be a powerful complexity-cutting tool for compact shape description, pattern recognition, robot vision, animation, petrography pore space fluid flow analysis, model/analysis of bone/lung/circulation, and image compression for telemedicine. The existing image Skeletonization techniques using boundary erosion, distan...

Cancers in head and neck tends to spread to nearby lymph nodes. Lymph nodes trap the spreading tumor cells but then the tumor starts to grow in these nodes and then spread further. Our project is aimed to (1) predict the secondary regions of lymph nodes where a given primary tumor can metastasize, and (2) to generalize a pattern for lymph nodes met...

An efficient, integrated image textural analysis and classification of transrectal prostate ultrasound images into clusters potentially representing cancerous or normal tissue areas is presented. Preliminary image texture analysis has shown the potential for doubled diagnosis accuracy from 38-42% for prostate cancer with current clinical methods, t...

To ensure safe operation of deep space missions, UHCL researchers performed a prelimi­ nary investigation to apply high-performance computer techniques to enable better space radiation analysis for Mars and other space missions. After study of the space radiation problem and methodol­ ogy in 2004, the urgent need became apparent to modernize the NA...

The paper summarizes the current design trends of micro-architectures and analyzes the tradeoffs between the RISC approach and the microprogramming approach especially on vertical migration among hardware, firmware, compilation, and software. RISCs simplicity is contrasted by the regularity of microprogrammed control. The RISC design incentives are...

This paper presents a method for mapping computation algorithms to parallel machines architectures. The approach is based on a fine grain mapping system, FGMS, whose basic rationale is to achieve better matchings between computations and architectures. FGMS consists of four stages, i.e., data flow graph generation, vertical mapping into fine grain...

The design of a methodology of automatic fine-grain mapping for static installation of a computation algorithm onto a multiprocessor system is presented. This is motivated by attempts made by several researchers and developers to obtain better matches between the software computations and hardware structures, so that to better manage the resources...