光线投射数据的特定应用硬件压缩

G. Kedem, T. Alexander
{"title":"光线投射数据的特定应用硬件压缩","authors":"G. Kedem, T. Alexander","doi":"10.1109/DCC.1995.515594","DOIUrl":null,"url":null,"abstract":"Summary form only given, as follows. Ray-casting, that is, calculating the intersections of a large array of lines with a solid object is a well-known technique that is central to many algorithms useful in solid modeling. Ray-casting is a compact and elegant way for displaying and calculating the geometrical properties of 3-D objects. The Ray-Casting Engine RCE-1.5 is an application specific massively parallel computer dedicated to ray-casting 3D objects. We present an application specific hardware-oriented data compression algorithm. We developed a simple yet powerful data compression hardware specifically tailored to compressing ray-files, the data structure internal to the RCE-1.5. We have used the compression hardware to meet performance goals while reducing the cost of building the RCE-1.5. We had to balance compression performance on the one hand with real time constraints, development time constraints and hardware costs on the other. With a modest amount of compression hardware we were able to more than double the internal and external data transfer rates. In addition we more than doubled the effective internal memory buffer size. The increase throughput rate enabled us to use (slow but inexpensive) DRAM rather than (faster but expensive) SRAM, dramatically reducing the over-all system cost. This is but one example where judicious use of data compression techniques can dramatically enhance system performance while at the same time reducing the system cost.","PeriodicalId":107017,"journal":{"name":"Proceedings DCC '95 Data Compression Conference","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application specific hardware compression of ray-casting data\",\"authors\":\"G. Kedem, T. Alexander\",\"doi\":\"10.1109/DCC.1995.515594\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary form only given, as follows. Ray-casting, that is, calculating the intersections of a large array of lines with a solid object is a well-known technique that is central to many algorithms useful in solid modeling. Ray-casting is a compact and elegant way for displaying and calculating the geometrical properties of 3-D objects. The Ray-Casting Engine RCE-1.5 is an application specific massively parallel computer dedicated to ray-casting 3D objects. We present an application specific hardware-oriented data compression algorithm. We developed a simple yet powerful data compression hardware specifically tailored to compressing ray-files, the data structure internal to the RCE-1.5. We have used the compression hardware to meet performance goals while reducing the cost of building the RCE-1.5. We had to balance compression performance on the one hand with real time constraints, development time constraints and hardware costs on the other. With a modest amount of compression hardware we were able to more than double the internal and external data transfer rates. In addition we more than doubled the effective internal memory buffer size. The increase throughput rate enabled us to use (slow but inexpensive) DRAM rather than (faster but expensive) SRAM, dramatically reducing the over-all system cost. This is but one example where judicious use of data compression techniques can dramatically enhance system performance while at the same time reducing the system cost.\",\"PeriodicalId\":107017,\"journal\":{\"name\":\"Proceedings DCC '95 Data Compression Conference\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings DCC '95 Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCC.1995.515594\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings DCC '95 Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.1995.515594","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

仅给出摘要形式,如下。光线投射,即计算大量直线与实体物体的交点,是一种众所周知的技术,是实体建模中许多有用算法的核心。光线投射是显示和计算三维物体几何属性的一种简洁而优雅的方法。Ray-Casting Engine RCE-1.5是一款专门用于光线投射3D物体的大规模并行计算机。提出了一种面向硬件的数据压缩算法。我们开发了一个简单而强大的数据压缩硬件,专门用于压缩射线文件,这是RCE-1.5内部的数据结构。我们使用压缩硬件来满足性能目标,同时降低构建RCE-1.5的成本。我们必须在压缩性能与实时限制、开发时间限制和硬件成本之间取得平衡。使用适量的压缩硬件,我们能够将内部和外部数据传输速率提高一倍以上。此外,我们将有效的内部内存缓冲区大小增加了一倍以上。吞吐量的提高使我们能够使用(慢但便宜)DRAM而不是(快但昂贵)SRAM,从而大大降低了系统的总体成本。这只是明智地使用数据压缩技术可以显著提高系统性能,同时降低系统成本的一个例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application specific hardware compression of ray-casting data
Summary form only given, as follows. Ray-casting, that is, calculating the intersections of a large array of lines with a solid object is a well-known technique that is central to many algorithms useful in solid modeling. Ray-casting is a compact and elegant way for displaying and calculating the geometrical properties of 3-D objects. The Ray-Casting Engine RCE-1.5 is an application specific massively parallel computer dedicated to ray-casting 3D objects. We present an application specific hardware-oriented data compression algorithm. We developed a simple yet powerful data compression hardware specifically tailored to compressing ray-files, the data structure internal to the RCE-1.5. We have used the compression hardware to meet performance goals while reducing the cost of building the RCE-1.5. We had to balance compression performance on the one hand with real time constraints, development time constraints and hardware costs on the other. With a modest amount of compression hardware we were able to more than double the internal and external data transfer rates. In addition we more than doubled the effective internal memory buffer size. The increase throughput rate enabled us to use (slow but inexpensive) DRAM rather than (faster but expensive) SRAM, dramatically reducing the over-all system cost. This is but one example where judicious use of data compression techniques can dramatically enhance system performance while at the same time reducing the system cost.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信