Optimal column layout for hybrid workloads
نویسندگان
چکیده
منابع مشابه
A Versatile Column Layout for the Lansce Upgrade.*
An upgrade program for the LANSCE facility at Los Alamos National Laboratory [1] aims at generating and transporting a 40-mA H beam with 80 keV energy and minimal emittance increase over the value currently measured with a 16-mA beam. Within a collaboration between the two laboratories, LBNL has built a new ion source [2] that allows the extraction of a 40-mA beam. However, there are strong ind...
متن کاملTowards optimal table layout
Tables are one of the most powerful and useful design elements in current web document standards such as (X)HTML, CSS and XSL. Importantly, designers do not need to precisely specify the width of the table columns, instead the designer may allow these to adapt to the viewing context while still preserving the general design intended by the document author. Unfortunately, however, the adaptive l...
متن کاملA Hybrid Algorithm for Optimising Facility Layout
Despite the reported effectiveness of analytical algorithms in facility layout planning, a detailed literature survey suggests a lack of new analytical methods in recent years. This paper focuses on open space facilities layout planning that involves modules with constant aspect ratios. We propose a construction-cum-improvement algorithm involving a novel combination of a boundary search-based ...
متن کاملComputing an Optimal Layout for Cone Trees
Many visual representations for trees have been developed in information and software visualization. One of them are cone trees, a well-known three-dimensional representation for trees. This paper is based on an approach for constructing cone trees bottom-up. For this approach, an optimal layout for these trees is given together with a proof that based on the assumptions, there can be no better...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the VLDB Endowment
سال: 2019
ISSN: 2150-8097
DOI: 10.14778/3358701.3358707