GitHub - emeryberger/scalene: Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for PythonYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
Why is processing a sorted array faster than processing an unsorted array?
In this C++ code, sorting the data (before the timed region) makes the primary loop ~6x faster: #include <algorithm> #include <ctime> #include <iostream> int main() { // Generate data const unsigned arraySize = 32768; int data[arraySize]; for (unsigned c = 0; c < arraySize; ++c) data[c] = std::rand() % 256; // !!! With this, the next loop runs faster. std::sort(data, data + arraySize); // Test clo
Binding Threads to Cores on OSX
When I was porting the mbw to the OSX, I found that sched_getaffinity pthread_setaffinity_np are missing, so that I could not bind a thread to a core. The result is the mbw threads could be running on the same core and compete for per-core resources, although the OSX kernel scheduler is unlikly to do so. I simply simulate these calls by using native OSX calls. The first thing to do is to detect th
introdunction to SIMD programming - primitive: blog
Unite 2015 Tokyo ã®è¬›æ¼”ã§è©³ç´°ã‚’話ã›ãªã‹ã£ãŸã®ãŒå¿ƒæ®‹ã‚Šã ã£ãŸã®ã§ã€å¤§é‡ã®ã‚ªãƒ–ジェクトã®æ›´æ–°å‡¦ç†ã«ã¤ã„ã¦ã“ã®å ´ã§æ›¸ã„ã¦ã¿ã¾ã™ã€‚ 主㫠C++ ã§ã€ç°¡å˜ãªãƒ‘ーティクルエンジンを作りã€ãれを SIMD を用ã„ã¦é«˜é€ŸåŒ–ã™ã‚‹æ‰‹é †ã‚’解説ã—ã¾ã™ã€‚ 話を簡å˜ã«ã™ã‚‹ãŸã‚ã€ä»¥ä¸‹ã®å‰æã‚’è¨ã‘ã¾ã™ã€‚ ・x86 環境ã®ã¿è€ƒæ…® ・パーティクルã¯ä½ç½®ã¨é€Ÿåº¦ã®ã¿ã‚’ä¿æŒ ・パーティクルåŒå£«ã®ç›¸äº’è¡çªã¯ç·å½“ãŸã‚Šã§è¨ˆç®— ç·å½“ãŸã‚Šãªã®ã§è¶…é…ã„ã§ã™ãŒã€å®Ÿè£…ã¯å®¹æ˜“㧠SIMD ã«ã‚ˆã‚‹æ©æµã‚’å—ã‘ã‚„ã™ãã€é¡Œæã¨ã—ã¦æ‰‹é ƒã§ã™ã€‚ ã“ã®è¨˜äº‹ã®ä¸ã§å¼•ç”¨ã•ã‚Œã¦ã„るソースã®å…ƒã¯ ã“ã¡ã‚‰ã€ãƒ“ルドçµæžœ (上ã®ã‚¹ã‚¯ãƒªãƒ¼ãƒ³ã‚·ãƒ§ãƒƒãƒˆã®ãƒ‡ãƒ¢ãƒ—ãƒã‚°ãƒ©ãƒ ) 㯠ã“ã¡ã‚‰ ã«ãªã‚Šã¾ã™ã€‚ 相互è¡çªã™ã‚‹ãƒ‘ーティクルを実装ã™ã‚‹å ´åˆã€ãŠäº’ã„ã®è·é›¢ã‚’計算ã—ã€å½“ãŸã£ã¦ã„ãŸã‚‰ã‚ã‚Šè¾¼ã¿å…·åˆã«å¿œã˜ã¦æŠ¼ã—è¿”ã™ã€ã¨ã„ã†ã®ãŒã‚ˆãã‚る実装ã ã¨æ€ã„ã¾ã™ã€‚ã¾ãšã¯ãれをストレートã«
GitHub - opsengine/cpulimit: CPU usage limiter for Linux
Cpulimit is a tool which limits the CPU usage of a process (expressed in percentage, not in CPU time). It is useful to control batch jobs, when you don't want them to eat too many CPU cycles. The goal is prevent a process from running for more than a specified time ratio. It does not change the nice value or other scheduling priority settings, but the real CPU usage. Also, it is able to adapt itse
1
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
NVIDIA Networking Solutions
{{#tags}}- {{label}}
{{/tags}}