Three implementation models for scheme
Three implementation models for scheme
Constant propagation with conditional branches
ACM Transactions on Programming Languages and Systems (TOPLAS)
Efficiently computing static single assignment form and the control dependence graph
ACM Transactions on Programming Languages and Systems (TOPLAS)
Improvements to graph coloring register allocation
ACM Transactions on Programming Languages and Systems (TOPLAS)
ACM Transactions on Programming Languages and Systems (TOPLAS)
Linear scan register allocation
ACM Transactions on Programming Languages and Systems (TOPLAS)
The HiPE/x86 Erlang Compiler: System Description and Performance Evaluation
FLOPS '02 Proceedings of the 6th International Symposium on Functional and Logic Programming
Rabbit: A Compiler for Scheme
Unboxed compilation of floating point arithmetic in a dynamically typed language environment
IFL'02 Proceedings of the 14th international conference on Implementation of functional languages
Performance characterization of the 64-bit x86 architecture from compiler optimizations' perspective
CC'06 Proceedings of the 15th international conference on Compiler Construction
ErLLVM: an LLVM backend for Erlang
Proceedings of the eleventh ACM SIGPLAN workshop on Erlang workshop
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We describe and document our experience from developing an AMD64 backend for the HiPE (High Performance Erlang) native code compiler. We consider implementation alternatives and critically examine design choices for obtaining an efficient AMD64 backend. In particular, we consider in detail how other functional language implementors can migrate their existing x86 backends to the AMD64 architecture, a platform which is becoming increasingly important these days. We mention backend components that can be shared between x86 and AMD64, and those that better be different for achieving high performance on AMD64. Finally, we measure the performance of several different alternatives in the hope that this information can save development effort for others who intend to engage in a similar feat.