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Integer Linear Programming-Based Scheduling for Transport Triggered Architectures

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Artikkeli59
Sivumäärä22
JulkaisuACM Transactions on Architecture and Code Optimization
Vuosikerta12
Numero4
DOI - pysyväislinkit
TilaJulkaistu - 4 joulukuuta 2015
OKM-julkaisutyyppiA1 Alkuperäisartikkeli

Tiivistelmä

Static multi-issue machines, such as traditional Very Long Instructional Word (VLIW) architectures, move complexity from the hardware to the compiler. This is motivated by the ability to support high degrees of instruction-level parallelism without requiring complicated scheduling logic in the processor hardware. The simpler-control hardware results in reduced area and power consumption, but leads to a challenge of engineering a compiler with good code-generation quality.

Transport triggered architectures (TTA), and other so-called exposed datapath architectures, take the compiler-oriented philosophy even further by pushing more details of the datapath under software control. The main benefit of this is the reduced register file pressure, with a drawback of adding even more complexity to the compiler side.

In this article, we propose an Integer Linear Programming (ILP)-based instruction scheduling model for TTAs. The model describes the architecture characteristics, the particular processor resource constraints, and the operation dependencies of the scheduled program. The model is validated and measured by compiling application kernels to various TTAs with a different number of datapath components and connectivity. In the best case, the cycle count is reduced to 52% when compared to a heuristic scheduler. In addition to producing shorter schedules, the number of register accesses in the compiled programs is generally notably less than those with the heuristic scheduler; in the best case, the ILP scheduler reduced the number of register file reads to 33% of the heuristic results and register file writes to 18%. On the other hand, as expected, the ILP-based scheduler uses distinctly more time to produce a schedule than the heuristic scheduler, but the compilation time is within tolerable limits for production-code generation.

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