By Philipp Klaus Krause (auth.), Ranjit Jhala, Koen De Bosschere (eds.)
This ebook constitutes the complaints of the twenty second overseas convention on Compiler development, CC 2013, held as a part of the ecu Joint meetings on concept and perform of software program, ETAPS 2013, which came about in Rome, Italy, in March 2013. The thirteen papers offered during this ebook have been conscientiously reviewed and chosen from fifty three submissions. they've been equipped into 5 topical sections on check in allocation, pointer research, facts and knowledge circulate, computer studying, and refactoring.
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Extra info for Compiler Construction: 22nd International Conference, CC 2013, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2013, Rome, Italy, March 16-24, 2013. Proceedings
Using this information, we formulate an optimization problem to determine code motions and partial local schedules that minimize the overall cost of live range overlaps. We evaluate solutions of this optimization problem using integer linear programming, where feasible, and a simple greedy heuristic. We conclude that global code motion with the sole goal of avoiding spills rarely leads to performance improvements because code is placed too conservatively. On the other hand, purely local optimal instruction scheduling for minimal spilling is eﬀective at improving performance when compared to a heuristic scheduler for minimal register use.
277–288. Association for Computing Machinery (2004) 32. : All Structured Programs Have Small Tree Width and Good Register Allocation. Information and Computation 142(2), 159–181 (1998) 33. : Dhrystone: a synthetic systems programming benchmark. Communications of the ACM 27, 1013–1030 (1984) 34. : Dhrystone Benchmark: Rationale for Version 2 and Measurement Rules. SIGPLAN Notices 23, 49–62 (1988) 35. : The maximum k-colorable subgraph problem for chordal graphs. at Abstract. The interaction of register allocation and instruction scheduling is a well-studied problem: Certain ways of arranging instructions within basic blocks reduce overlaps of live ranges, leading to the insertion of less costly spill code.
1 1e+08 2600 100 10000 100000 1e+06 max. allocs per node (a) HC08 (b) S08 4200 100000 code size compilation time old allocator code size 4000 1000 max. 1 1e+08 2400 100 1000 max. allocs per node 100000 1e+06 1e+07 1 1e+08 (d) Z180 10000 3850 3800 3000 3750 2700 100 2600 2500 10 2400 3700 code size [B] 2800 compiler runtime [s] 1000 2900 10 code size compilation time compiler runtime [s] code size compilation time old allocator code size 3100 10000 max. allocs per node (c) Z80 3200 compiler runtime [s] 3000 100 code size [B] compiler runtime [s] 3300 code size [B] 1 compiler runtime [s] 3400 3200 code size [B] 10 code size compilation time old allocator code size 3200 3500 code size [B] 3400 3650 3600 3550 3500 3450 2300 2200 100 1000 10000 100000 1e+06 1e+07 max.