Concurrent Optimization for Multi-Core and Multithreaded Architectures

对于未来的体系结构，执行和编译不应该再被看作是独立的活动。相反，编译应该与执行并发进行。并发优化允许处理器通过两种方式利用可用的线程上下文来获得更高的多线程性能——它使用可用的线程上下文或内核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，动态地使运行代码适应并行架构。本研究将创建一个并发优化系统，该系统使用可用的内核/上下文来持续优化程序的执行。优化系统作为操作系统下面的瘦虚拟机层，优化本机ISA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对它们进行裁剪。优化系统将动态搜索优化空间，尝试不同的编译器优化和优化级别，以寻找最积极的优化组合，以实现最佳性能。

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.