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.

摘要0915376-异构嵌入式系统中无损数据压缩和有效解压缩的新技术PI：Prabhat Mishra近年来，对异构和复杂嵌入式应用程序的需求急剧上升。存储器是设计这种系统的关键驱动因素之一，因为较大的存储器表示增加的芯片面积、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。现有的方法或者以缓慢的解压缩为代价使用复杂和可变长度的编码来执行有效的压缩，或者以压缩效率为代价使用简单和固定长度的编码来执行快速解压缩。 这项研究将开发新的工具和技术，以实现有效的压缩和快速解压缩的各种应用领域和系统架构。这个项目将作出三个基本贡献：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。一个成功的实施所提出的研究将导致显着改善系统的性能和安全性，并大幅减少整体面积，成本和能源需求。压缩和加密的协同集成将导致高效和安全的嵌入式系统。这项研究的结果对日常生活有着直接的影响。改进的压缩/解压缩技术将产生双重影响？为公众提供低成本和低功耗的日常设备，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课程中开发压缩相关项目，并通过UF荣誉，大学少数民族辅导和SEAGEP计划涉及本科生和少数民族学生，产生广泛的教育影响。