bug-bounty499
xss278
rce117
bragging-post117
account-takeover105
open-source93
csrf85
authentication-bypass82
google81
stored-xss74
facebook69
exploit68
web-security65
privilege-escalation65
ai-agents63
access-control63
reflected-xss63
microsoft53
input-validation51
writeup49
sql-injection48
defi48
ssrf47
smart-contract47
cross-site-scripting47
tool46
information-disclosure44
ethereum44
privacy44
cve41
api-security41
web-application39
llm37
burp-suite36
opinion35
automation35
responsible-disclosure33
web333
vulnerability-disclosure33
html-injection33
smart-contract-vulnerability33
machine-learning32
code-generation31
waf-bypass31
infrastructure31
denial-of-service30
clickjacking29
oauth29
authentication29
remote-code-execution28
0
3/10
Developer optimizes the asin() function in a ray tracer using Padé approximants combined with half-angle transforms to achieve faster computation with lower error across the full input range, replacing both naive Taylor series approximations and reliance on std::asin().
performance-optimization
mathematical-approximation
pade-approximants
taylor-series
trigonometric-functions
asin-approximation
graphics-programming
ray-tracing
c++
numerical-methods
half-angle-transforms
micro-optimization
PSRayTracing
Ray Tracing in One Weekend
0
3/10
opinion
This article argues that concerns about function call overhead in Rust async code are often unfounded, demonstrating that modern compilers inline small functions in release builds, making indirection cost negligible compared to actual I/O and system-level operations. The author emphasizes that code readability and maintainability should take priority over micro-optimizations, and provides concrete benchmarking and profiling techniques to measure real performance impact.
rust
performance-optimization
compiler-optimization
code-design
async-programming
micro-optimization
inlining
benchmarking
best-practices
Rust
Criterion
valgrind
perf
flamegraph
dtrace
Instruments