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Modern societies have developed insatiable demands for more computationcapabilities. Exploiting implicit parallelism to provide automatic performanceimprovement remains a central goal in engineering future general-purposecomputing systems. One approach is to use a separate thread context to performcontinuous look-ahead to improve the data and instruction supply to the mainpipeline. Such a decoupled look-ahead (DLA) architecture can be quite effectivein accelerating a broad range of applications in a relatively straightforwardimplementation. It also has broad design flexibility as the look-ahead agentneed not be concerned with correctness constraints. In this paper, we explore anumber of optimizations that make the look-ahead agent more efficient and yetextract more utility from it. With these optimizations, a DLA architecture canachieve an average speedup of 1.4 over a state-of-the-art microarchitecture fora broad set of benchmark suites, making it a powerful tool to enhancesingle-thread performance.

R3-DLA (Reduce, Reuse, Recycle): A More Efficient Approach to Decoupled Look-Ahead Architectures