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Wayne Greene

Researcher at Hewlett-Packard

Publications -  22
Citations -  1274

Wayne Greene is an academic researcher from Hewlett-Packard. The author has contributed to research in topics: Gate oxide & Workload. The author has an hindex of 11, co-authored 22 publications receiving 1254 citations.

Papers
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Journal ArticleDOI

Ultra-compact Si-SiO 2 microring resonator optical channel dropping filters

TL;DR: In this paper, a compact optical channel dropping filter incorporating side-coupled ring resonators as small as 3 /spl mu/m in radius is realized in silicon technology.
Journal ArticleDOI

The impact of high-/spl kappa/ gate dielectrics and metal gate electrodes on sub-100 nm MOSFETs

TL;DR: In this paper, the potential impact of high/spl kappa/ gate dielectrics on device short-channel performance is studied over a wide range of dielectric permittivities using a two-dimensional (2D) simulator implemented with quantum mechanical models.
Proceedings ArticleDOI

R-Capriccio: a capacity planning and anomaly detection tool for enterprise services with live workloads

TL;DR: A new capacity planning and anomaly detection tool, called R-Capriccio, that is based on the following three components: a Workload Profiler that exploits locality in existing enterprise web workloads and extracts a small set of most popular, core client transactions responsible for the majority of client requests in the system.
Proceedings ArticleDOI

Small radius bends and large angle splitters in SOI waveguides

TL;DR: In this article, the Si/SiO2 materials system provides a high index contrast waveguide platform compatible with existing monolithic microelectronic fabrication processes, which allows the miniaturization of waveguide cross-sectional dimensions: single-mode strip waveguides with 0.2 X 0.5 micrometers cross-sections are possible.
Patent

System and method for capacity planning for computing systems

TL;DR: In this paper, a method comprises receiving, by a workload profiler, a representative workload of a computing system under analysis, and a capacity analyzer receives the workload profile, and determines a maximum capacity of the computing systems under analysis for serving a workload profile while satisfying a defined quality of service (QoS) target.