# ssa Published articles for ssa. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Inside Go -- Part 1: The Compilation Pipeline DevFeed: [Inside Go -- Part 1: The Compilation Pipeline]() Original publisher: [Read original article]() Author: Furkan Kolcu Published: 2025-09-11T10:34:38Z Content type: tutorial Language: en Sources: [Furkan Kolcu - Software Engineer Blog]() Topics: [Go Language](), [Compiler](), [Parsing](), [Parser](), [Optimization](), [Code generation](), [Assembly]() Tags: [assembly](), [ast](), [code-generation](), [compilation](), [go](), [go-ast](), [go-compilation](), [go-compiler](), [go-internals](), [go-lexer](), [go-parser](), [go-ssa](), [golang](), [optimization](), [parsing](), [ssa](), [technology]() ### AI overview This tutorial explains how Go source code is transformed into a native executable. It covers lexing and parsing, abstract syntax trees, type checking, SSA, optimization, code generation, and linking, with simple examples and analogies. ### Source excerpt In this first part of the "Inside Go" series, I'll walk through how Go source code transforms into a binary. From lexing and parsing to ASTs, SSA, and optimizations, we'll explore the steps of the Go compilation pipeline with simple code examples and analogies to make sense of it all. ## How to dump the GOSSAFUNC graph for a method DevFeed: [How to dump the GOSSAFUNC graph for a method]() Original publisher: [Read original article]() Author: Dave Cheney Published: 2020-06-19T03:36:57Z Content type: tutorial Language: en Sources: [Dave Cheney]() Topics: [Go Language](), [Compiler](), [debugging](), [HTML]() Tags: [compiler](), [debugging](), [function](), [go](), [gossafunc](), [how-to](), [html](), [program](), [programming](), [ssa]() ### AI overview This tutorial explains how to use the Go compiler's SSA debugging facility to produce HTML output for compilation phases and dump SSA information for functions, value methods, and pointer methods. It describes selecting the target through the GOSSAFUNC environment variable and determining the equivalent function names for methods. ### Source excerpt The Go compiler's SSA backend contains a facility to produce HTML debugging output of the compilation phases. This post covers how to print the SSA output for function and methods. Let's start with a sample program which contains a function, a value method, and a pointer method: Control of the SSA debugging output is via [...] ## R8 Optimization: Null Data Flow Analysis (Part 1) DevFeed: [R8 Optimization: Null Data Flow Analysis (Part 1)]() Original publisher: [Read original article]() Published: 2018-12-18T00:00:00Z Content type: article Language: en Sources: [Jake Wharton]() Topics: [R8](), [Optimization](), [Kotlin](), [Android](), [Compiler](), [Code]() Tags: [analysis](), [android](), [code](), [compiler](), [inlining](), [kotlin](), [optimization](), [r8](), [ssa]() ### AI overview This article explains how R8 performs nullability data-flow analysis after inlining Kotlin functions. It uses an SSA-based intermediate representation to determine which branches are always taken or unreachable, enabling dead-code elimination and bytecode optimization. ### Source excerpt Note: This post is part of a series on D8 and R8, Android's new dexer and optimizer, respectively. For an intro to D8 read "Android's Java 8 support". For an intro to R8 read "R8 Optimization: Staticization". The last post in this series was the first to cover R8 and one of its optimizations. This post will cover an optimization which performs data flow analysis of nullability. Let's dig in! A coalesce function returns the first non-null argument that is provided. Running the following example, unsurprisingly, prints "one" and then "two". fun coalesce(a: T?, b: T?): T? = a ?: b fun main(vararg args: String) { println(coalesce("one", "two")) println(coalesce(null, "two")) } R8 and ProGuard will both perform function inlining when a function is small or if it's only called in one place. Since coalesce is small, its body will be inlined to every call site to be equivalent to the following source. fun main(vararg args: String) { println("one" ?: "two") println(null ?: "two") } Were this actual source, the Kotlin compiler will determine that both of the elvis operators (?:) can be determined at compile-time. Compiling and dexing that fake source produces two calls to println with "one" and "two" and zero conditionals. [000180] NullsKt.main:([Ljava/lang/String;)V 0000: sget-object v1, Ljava/lang/System;.out:Ljava/io/PrintStream; 0002: const-string v0, "one" 0004: invoke-virtual {v1, v0}, Ljava/io/PrintStream;.println:(Ljava/lang/Object;)V 0007: sget-object v1, Ljava/lang/System;.out:Ljava/io/PrintStream; 0009: const-string v0, "two" 000b: invoke-virtual {v1, v0}, Ljava/io/PrintStream;.println:(Ljava/lang/Object;)V 000e: return-void But since the inlining occurs inside of R8 and not prior to running the Kotlin compiler, the actual Dalvik bytecode contains the conditionals. [000144] NullsKt.main:([Ljava/lang/String;)V 0000: sget-object v1, Ljava/lang/System;.out:Ljava/io/PrintStream; 0002: const-string v0, "one" 0004: if-nez v0, 0006 0006: const-string v0, "two" 0 ## Bounds Check Elimination In Go DevFeed: [Bounds Check Elimination In Go]() Original publisher: [Read original article]() Published: 2018-04-28T00:00:00Z Content type: tutorial Language: en Sources: [William Kennedy]() Topics: [Go Language](), [Compiler](), [Optimization](), [Code]() Tags: [ardan-labs](), [benchmarks](), [blog](), [coding](), [compiler](), [go](), [go-programming](), [golang](), [memory](), [optimization](), [performance](), [programming](), [ssa]() ### AI overview This tutorial explains Bounds Check Elimination in Go, a compiler optimization that removes runtime checks when the compiler can establish that index-based memory access is safe. It describes how slice operations can obscure bounds information and how explicit upper bounds can help eliminate checks. ### Source excerpt Introduction One day I was talking to Damian Gryski in Slack about some performance improvements he made to his go-metro package. When I first looked at the changes I was completely confused how this could have any effect on the performance of the code. I felt the code was more readable, but more performant? I didn't see it. Then Damian started to talk to me about a compiler optimization called Bounds Check Elimination or BCE. The idea behind BCE is to give the compiler hints that index-based memory access is guaranteed to be safe and therefore the compiler didn't have to add extra code to check the memory access at runtime. The safe elimination of these integrity checks can help improve performance.