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For better throughput during parallel processing by LLVM, we used to sort CGUs largest to smallest. This would lead to better thread utilization by, for example, preventing a large CGU from being processed last and having only one LLVM thread working while the rest remained idle. However, this strategy would lead to high memory usage, as it meant the LLVM-IR for all of the largest CGUs would be resident in memory at once. Instead, we can compromise by ordering CGUs such that the largest and smallest are first, second largest and smallest are next, etc. If there are large size variations, this can reduce memory usage significantly.
38 lines
1.0 KiB
TOML
38 lines
1.0 KiB
TOML
[package]
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authors = ["The Rust Project Developers"]
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name = "rustc_codegen_ssa"
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version = "0.0.0"
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edition = "2018"
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[lib]
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test = false
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[dependencies]
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bitflags = "1.2.1"
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cc = "1.0.1"
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itertools = "0.9"
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num_cpus = "1.0"
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memmap = "0.7"
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tracing = "0.1"
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libc = "0.2.50"
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jobserver = "0.1.11"
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tempfile = "3.1"
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pathdiff = "0.2.0"
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rustc_serialize = { path = "../rustc_serialize" }
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rustc_ast = { path = "../rustc_ast" }
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rustc_span = { path = "../rustc_span" }
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rustc_middle = { path = "../rustc_middle" }
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rustc_apfloat = { path = "../rustc_apfloat" }
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rustc_attr = { path = "../rustc_attr" }
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rustc_symbol_mangling = { path = "../rustc_symbol_mangling" }
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rustc_data_structures = { path = "../rustc_data_structures"}
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rustc_errors = { path = "../rustc_errors" }
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rustc_fs_util = { path = "../rustc_fs_util" }
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rustc_hir = { path = "../rustc_hir" }
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rustc_incremental = { path = "../rustc_incremental" }
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rustc_index = { path = "../rustc_index" }
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rustc_macros = { path = "../rustc_macros" }
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rustc_target = { path = "../rustc_target" }
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rustc_session = { path = "../rustc_session" }
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