Concurrent Optimization for Multi-Core and Multithreaded Architectures

多核和多线程架构的并发优化

• 批准号: 0541434
• 负责人: Dean Tullsen
• 金额: --
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-05-01 至 2009-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0541434&HistoricalAwards=false
• 关键词: Concurrent; Optimization; Multi; Core; Multithreaded

For future architectures, execution and compilation should no longer be thought of as separate activities. Instead, compilation should take place concurrently with execution. Concurrent optimization allows the processor to exploit available thread contexts for higher multithreaded performance in two ways -- it uses available thread contexts or cores to improve the quality of running code, and allows the processor to take full advantage of runtime information, with minimal overhead, to dynamically adapt the running code to the parallel architecture. This research will create a concurrent optimization system that uses available cores/contexts to continuously optimize a program's execution. The optimization system sits as a thin virtual machine layer underneath the operating system, optimizing the native ISA application binaries, libraries, and even operating system, tailoring each to the runtime behavior of the system. The optimization system will dynamically search the optimization space trying different compiler optimizations and levels of optimization to hot traces finding the most aggressive combination of optimizations to achieve the best possible performance.

对于未来的体系结构，执行和编译不应该再被认为是独立的活动。相反，编译应该与执行同时进行。并发优化允许处理器以两种方式利用可用的线程上下文来实现更高的多线程性能-它使用可用的线程上下文或核心来提高运行代码的质量，并允许处理器以最小的开销充分利用运行时信息，以动态地使运行代码适应并行架构。这项研究将创建一个并发优化系统，使用可用的核心/上下文来不断优化程序的执行。优化系统作为操作系统下的一个瘦虚拟机层，优化本机伊萨应用程序二进制文件、库甚至操作系统，根据系统的运行时行为定制每一个。优化系统将动态地搜索优化空间，尝试不同的编译器优化和优化级别以找到最积极的优化组合以实现最佳可能性能。