CSR:Small: Novel Techniques for Lossless Data Compression and Efficient Decompression in Heterogeneous Embedded Systems

CSR：Small：异构嵌入式系统中无损数据压缩和高效解压缩的新技术

• 批准号: 0915376
• 负责人: Prabhat Mishra
• 金额: $ 10万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0915376&HistoricalAwards=false
• 关键词: CSR; Small; Novel; Techniques; Lossless

Abstract0915376 - Novel Techniques for Lossless Data Compression and Efficient Decompression in Heterogeneous Embedded SystemsPI: Prabhat MishraDemands for heterogeneous and complex embedded applications have soared drastically in recent years. Memory is one of the key driving factors in designing such systems since a larger memory indicates an increased chip area, more power dissipation, and higher cost. Compression techniques are promising to reduce memory requirements by reducing the program and data size. The existing approaches either perform efficient compression using complex and variable-length encodings at the cost of slow decompression, or fast decompression using simple and fixed-length encodings at the cost of compression efficiency. This research will develop novel tools and techniques to achieve both efficient compression and fast decompression for a wide variety of application domains and system architectures. This project will make three fundamental contributions: novel decode-aware compression, optimal bitstream placement for parallel decompression, and synergistic integration of compression and encryption. A successful implementation of the proposed research will result in significant improvement in system performance and security, and drastic reduction in overall area, cost and energy requirements. Synergistic integration of compression and encryption will lead to efficient and secure embedded systems. The outcome of this research has a direct impact on everyday life. Improved compression/decompression techniques will have double impact ? low-cost and low-power everyday appliances for the public and improved performance and security for safety-critical systems. This project will have broad educational impact by developing compression related projects in both graduate and undergraduate courses, and by involving undergraduates as well as minority students through UF Honors, University Minority Mentoring and SEAGEP programs.

Abstract0915376 - 异构嵌入式系统中无损数据压缩和高效解压缩的新技术PI：Prabhat Mishra 近年来，对异构和复杂嵌入式应用的需求急剧增长。存储器是设计此类系统的关键驱动因素之一，因为更大的存储器意味着更大的芯片面积、更多的功耗和更高的成本。压缩技术有望通过减少程序和数据大小来减少内存需求。现有方法要么使用复杂且可变长度的编码来执行高效压缩，但代价是解压速度较慢；要么使用简单且固定长度的编码来执行快速解压缩，但代价是压缩效率。 这项研究将开发新颖的工具和技术，以实现各种应用领域和系统架构的高效压缩和快速解压缩。该项目将做出三个基本贡献：新颖的解码感知压缩、并行解压缩的最佳比特流放置以及压缩和加密的协同集成。拟议研究的成功实施将显着提高系统性能和安全性，并大幅减少总体面积、成本和能源需求。压缩和加密的协同集成将带来高效、安全的嵌入式系统。这项研究的结果对日常生活有直接影响。改进的压缩/解压技术将产生双重影响？为公众提供低成本、低功耗的日常电器，并提高安全关键系统的性能和安全性。该项目将通过在研究生和本科生课程中开发压缩相关项目，并通过佛罗里达大学荣誉课程、大学少数族裔辅导和 SEAGEP 项目让本科生和少数族裔学生参与进来，从而产生广泛的教育影响。