Categories
Tags
3d ABI Actions algorithms alignment analyze APIT Arc Architecture arm array ascii ash assembly asynchronous attribute base64 bithacks Blogging box c c23 cdylib CHAR_BIT clamp clang clang-format client clippy cmake compiler Computer concat concurrency const_fn constexpr contravariant cos covariant cpp cpu crate CS Customization cybersecurity DataStructure db debugging Demo deserialization discrete dll doc DP drawio dtruss dylib Dynamic emulator example Example FFI ffmpeg flamegraph flat_map fold format FP fsanitize Functional FunctionalProgramming functions futures Fuwari game GATs gcc gccrs generics gitignore glibc GUI hacking hashmap haskell heap hyperfine Imperative inference intel interop invariant iterator join justfile kernel LaTeX leak LFU limits linux lto MachineLearning macOS map Markdown math ML mmap mod mp3 nc nextest OnceLock optimization OS ownership panic parallels perf physics pin postgresql procedure product profiling pub radare2 rayon release reverse RPIT rust sanitizer Science science serialization server shift SIMD sin size SmallProjects so socket std strace String StringView strip strlen struct sum super surrealdb SWAR swisstable synchronous syscall tan test thread time toml tracing traits trap triangulation type uint32_t UnsafeRust utf16 utf8 vector Video vulkan wsl x86_64 xilem zig
Sanitizer_is_a_tool_developed_by_Google
2025-12-31
Sanitizers - Tools(AddressSanitizer(ASan), LeakSanitizer(LSan), ThreadSanitizer(TSan), MemorySanitizer(MSan), UndefinedBehaviorSanitizer(UBSan))
306 words
|
2 minutes
Bit_Pattern_training_001
2025-12-30
When totaling the number of operations for algorithms here, any C operator is counted as one operation. Intermediate assignments, which need not be written to RAM, are not counted. Of course, this operation counting approach only serves as an approximation of the actual number of machine instructions and CPU time. All operations are assumed to take the same amount of time, which is not true in reality, but CPUs have been heading increasingly in this direction over time. There are many nuances that determine how fast a system will run a given sample of code, such as cache sizes, memory bandwidths, instruction sets, etc. In the end, benchmarking is the best way to determine whether one method is really faster than another, so consider the techniques below as possibilities to test on your target architecture.
1071 words
|
5 minutes
rust-code-analysis
2025-08-25
Library to analyze and collect metrics on source code
496 words
|
2 minutes